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How to Create an App – A Complete Step-by-Step Guide
Did you know that over 100,000 new mobile apps are launched on the market every year? This rapidly expanding industry presents vast opportunities for both entrepreneurs and technology enthusiasts. Whether you’re dreaming of launching a pioneering start-up or aiming to streamline internal processes within your organisation – developing your own app could be the key to success. In this comprehensive guide, I’ll take you through the entire app creation process, from concept to launch. I’ll also share examples of low-code business applications. 1. Introduction to App Development 1.1 Definition and Importance of Mobile Apps in Today’s World A mobile app is software designed to operate on portable devices such as smartphones or tablets. It is not merely a tech tool – it serves as a digital hub in users’ daily lives. Nowadays, apps are an essential part of our routines – from checking the weather in the morning to making mobile payments and tracking physical activity. The importance of mobile apps continues to grow. According to recent studies, the average smartphone user interacts with approximately 10 apps daily, spending over 4 hours using them. This statistic underscores the immense potential mobile apps offer for business, education, and entertainment. In the era of digital transformation, the ability to create mobile apps has become one of the most sought-after skills in the job market. Companies are looking for professionals who can turn ideas into practical mobile solutions tailored to user needs and aligned with current technological trends. 1.2 Benefits of Creating Your Own App Having a dedicated mobile app provides a range of tangible benefits to any business. Most importantly, it helps establish a stronger connection with customers by maintaining a constant presence “in their pocket”. This closeness translates into increased customer loyalty, as users are more likely to return to businesses offering convenient mobile solutions. A well-designed app considerably enhances the user experience by providing an intuitive interface, fast performance, and personalisation – features that are often lacking in traditional websites. This improved convenience directly influences customer satisfaction. From a business standpoint, mobile apps unlock new sales channels that operate 24/7 and are not constrained by geography. Moreover, by automating processes such as booking systems or online payments, companies can optimise operations and reduce operational costs. Brand image is also a critical factor – having your own app reinforces your reputation as a modern, customer-centric business, giving you an advantage over competitors who have yet to adopt digital transformation. 1.3 Key Steps and Phases in App Development The app development process, while seemingly complex, can be broken down into a series of logical stages. The first step is always thorough planning – defining the app’s purpose, target audience, and core features. This lays the foundation for the success of the entire project. The next phase involves designing the user interface (UI) and user experience (UX). At this point, wireframes and prototypes are created to visualise how the app will appear and function. Good design requires an understanding of user needs and awareness of current design trends. The actual development, or coding phase, is when the concept begins to take shape. Depending on the technology chosen, developers create the front-end (what users see) and the back-end (the app’s technical infrastructure). Today, there are also “low-code” tools that allow apps to be built without programming expertise. Before launch, a rigorous testing phase is vital to ensure the app’s functionality, performance, and security. Once any necessary improvements have been made, the app can be submitted to app stores, marking the beginning of its lifecycle with users. In the following chapters, we’ll delve into each of these stages in detail, providing practical guidance on how to create an app that stands out in a competitive market. 2. Planning and Research The planning and research stage is a fundamental step in the app development process. Before writing a single line of code or designing the first screen, you need to fully understand what you want to create and for whom. Proper preparation can save time, money, and frustration in the later stages of the project. 2.1 Defining the App’s Purpose and Target Audience The first step in the app development process is to clearly define its purpose. Ask yourself: what problem is your app going to solve? Is it intended for entertainment, education, increasing productivity, or supporting business processes? A clearly defined goal will serve as a compass to guide you through every stage of design and development. Equally important is understanding who will use your app. Effectively identifying your target audience requires a multidimensional approach. Demographic segmentation should include age, gender, location, and income level. However, don’t stop there – also explore psychographic aspects (lifestyle, values, interests) and behavioural ones (shopping habits, tech preferences). A valuable tool in this process is creating user personas – fictional profiles representing typical users of your app. Based on gathered data, you can create 2–3 personas to help you better understand the needs and motivations of your future users. For example, if you’re creating a fitness app, one persona might represent a 35-year-old working mother looking for quick home workouts. 2.2 Competitor Analysis and Identifying Unique Features Another key step in the app development process is conducting an in-depth competitor analysis. Download and test apps similar to the one you plan to create. Pay attention to their features, interface, business model, and user reviews. This analysis will not only help you avoid repeating your competitors’ mistakes but also identify market gaps. Focus on identifying each competitor’s strengths and weaknesses. Which features do users appreciate, and what do they complain about? Which user interface elements work well, and which need improvement? You can gather this information from app store reviews, discussion forums, or social media. Based on the collected data, define your app’s unique features – what will make it stand out from the competition. It might be an innovative feature, better design, faster performance, or a more intuitive interface. Remember, creating an app is not just about copying existing solutions, but about delivering added value to users. 2.3 Creating a Detailed Plan and Specification With a clearly defined purpose, an understanding of your target audience, and knowledge of the market, you can move on to creating a detailed project plan. A solid plan should include a list of all app features, divided into essential ones (for the initial version) and additional ones (for future updates). The technical specification should include detailed information about the app’s architecture, system requirements, databases, and APIs the app will integrate with. It’s also important to define the technologies that will be used during development – programming languages, frameworks, or platforms. Another crucial element of the plan is a work schedule with clearly defined milestones. A realistic timeline should account not only for development but also for design, testing, and refinements. Experienced app developers recommend adding at least a 20% time buffer for unforeseen challenges, which almost always arise during the project. Lastly, but no less importantly, you need to define your budget. App development costs can vary significantly depending on complexity, chosen technologies, and the development model (in-house team, outsourcing, or low-code tools). Accurate budget estimation helps avoid unpleasant financial surprises during the project. A detailed plan and specification serve as a roadmap for the entire app development process. Carefully prepared documentation significantly increases the chances of project success while minimising the risk of costly changes later on. 3. Technologies and Tools Choosing the right technologies and tools is one of the key factors determining the success of your app. In today’s fast-evolving tech landscape, these decisions can significantly impact development speed, maintenance costs, and the future scalability of your solution. 3.1 Choosing a Platform: iOS, Android, or Both? One of the first technological decisions every app creator faces is choosing the target platform. Each option has its pros and cons, which should be carefully considered in the context of your project and target audience. Android dominates globally in terms of user numbers, offering access to a wide and diverse market. Developing for Android is often preferred by companies aiming to reach a broad audience, especially in developing countries. The Android system allows greater freedom in app distribution, and publishing fees on Google Play are one-off and lower than those for the App Store. On the other hand, iOS users statistically show higher engagement and are more likely to make in-app purchases. If your business model relies on app-generated revenue, Apple’s platform may prove more profitable. Moreover, iOS app development is often regarded as simpler due to less device fragmentation. The most popular solution today is building apps using cross-platform technologies such as React Native or Flutter. These frameworks allow you to write a single codebase that runs on both iOS and Android, significantly reducing development time and costs. For less complex apps, this approach can provide an ideal balance between reach and budget. If you’re wondering how to build an Android app from scratch, you have several paths to consider. You can use the native Android Studio environment with Kotlin or Java, opt for the aforementioned cross-platform frameworks, or explore low-code tools, which we’ll cover in the next section. 3.2 Building with Low-Code in Power Apps The low-code revolution is democratising app development, enabling individuals without programming knowledge to build functional solutions. Microsoft Power Apps stands out as a leader in this category, offering the ability to create advanced business applications without writing code. Power Apps is particularly notable for its integration with the Microsoft 365 ecosystem and various data sources. Using an intuitive drag-and-drop interface, you can build apps that connect to SharePoint, Teams, Dynamics 365, or external systems via APIs. This seamless integration makes Power Apps an ideal choice for companies already using Microsoft tools. Recent trends in Power Apps development include the increasing use of artificial intelligence. AI Builder makes it easy to implement features such as text recognition, natural language processing, and image analysis. As a result, even users without machine learning knowledge can create apps that analyse documents or automate processes using AI. Collaboration is another area where Power Apps excels. Co-authoring features allow multiple users to work on the same project simultaneously. This is especially valuable in today’s hybrid working environments, where teams are often geographically distributed. Although app-building tools like Power Apps have limitations compared to traditional coding (e.g., reduced flexibility in creating custom interfaces or advanced features), they provide an excellent solution for companies seeking fast business app deployment without involving a full development team. 3.3 Backend and Databases: What to Choose? Choosing the right backend and database is crucial for the performance, scalability, and security of your app. Whether you’re building your app from scratch or using low-code tools, you need to make informed decisions about your technical infrastructure. For simpler apps, consider ready-to-use Backend as a Service (BaaS) solutions such as Google’s Firebase or AWS Amplify. These platforms provide complete backend infrastructure, including databases, user authentication, hosting, and many other features. Using BaaS significantly accelerates development by removing the need to build and maintain your own server infrastructure. However, if your app has specific requirements or you’re planning for substantial scalability, it may be worth opting for a traditional backend development approach. Popular backend frameworks include Node.js with Express (for JavaScript), Django or Flask (for Python), and Spring Boot (for Java). Each has its strengths and suits different use cases. When it comes to databases, the decision should be based on the nature of your data and expected usage patterns. Relational databases (such as PostgreSQL or MySQL) are excellent for apps that handle complex data relationships. In contrast, NoSQL databases (like MongoDB or Firebase Firestore) offer greater schema flexibility and often better horizontal scalability. For apps requiring real-time data processing, consider solutions such as Firebase Realtime Database or MongoDB Realm, which provide instant data synchronisation across devices. Those interested in how to make an Android app should remember that the backend choice is independent of the mobile platform. The same server infrastructure can support both Android and iOS apps. When using tools like Power Apps, the backend and data storage are often integrated into the platform, which further simplifies the development process. Regardless of the technologies chosen, it’s crucial to plan the architecture with future growth in mind. A well-designed backend should be modular and scalable to evolve alongside your app and growing user base. 4. Design and Development The design and development stage is when your app begins to take tangible form. This is the point where abstract ideas are transformed into real solutions, interfaces, and user experiences. In mobile app development, it’s essential to combine aesthetics with functionality and to understand users’ needs and expectations. 4.1 UX/UI Design Principles for Mobile Apps Excellent user experience (UX) and intuitive user interface (UI) are the foundations of any successful mobile app. In 2024, industry experts highlight several key principles that are worth implementing during the design process. Simplicity and minimalism are now top design priorities. In a world overloaded with information, users value apps that offer a clean, structured interface free from unnecessary elements. Rather than adding more features, it’s better to refine the most important ones. Designers often reference the Pareto principle: 80% of users typically use only 20% of an app’s features. Personalised user experience has become a standard in mobile app development. The ability to customise the interface, content, or preferences greatly increases user engagement. A simple example is implementing dark/light mode, but more advanced solutions include content personalisation based on user behaviour or location. Responsiveness and speed are aspects that cannot be overlooked. Studies show that 53% of users leave a mobile site if it takes longer than 3 seconds to load. For mobile apps, expectations are even higher. Performance optimisation, minimising loading time, and smooth animations significantly enhance the overall user experience. Intuitive navigation is the cornerstone of good UX. Users should never wonder how to move through an app. Natural gestures, logical element placement, and a consistent navigation system make apps much easier to use. Designers often follow the “thumb zone” rule — the most important elements should be within reach of the thumb when holding the phone with one hand. Accessibility is gaining increasing importance. Designing apps that are accessible to people with various disabilities not only broadens your potential user base but also reflects an inclusive approach. Proper colour contrast, legible fonts, and screen reader compatibility are essential elements of accessible design. 4.2 Creating Prototypes and Wireframes Prototyping is a critical stage in app development that allows you to visualise your concept before actual coding begins. In modern design approaches, prototypes have evolved from static wireframes to interactive models that simulate real user experiences. The prototyping process usually begins with sketches or wireframes — simplified diagrams showing the layout of screen elements. This is the fastest way to test layout concepts without spending too much time on details. Tools like Balsamiq or Sketch are well-suited for this phase. The next step is to create higher-fidelity mock-ups that include colours, typography, and other visual elements. At this stage, designers may use tools such as Adobe XD, Figma, or InVision to produce realistic representations of the final product. Interactive prototypes represent the most advanced form of visualisation, allowing simulation of interactions and transitions between screens. This approach enables usability testing even before actual development begins. In mobile app creation, this step is invaluable as it helps identify potential usability issues early on. A valuable practice is involving future users in prototype testing. Observing how they interact with the app and collecting their feedback provides crucial insights that can improve the design. Many UX experts recommend testing with just 5–7 users, which can help uncover around 85% of usability issues. 4.3 Iterative Development: From Minimum Viable Product (MVP) to Full Release The iterative approach to app development has significantly changed how projects are built and launched. Instead of aiming for a perfect product from the start, modern development focuses on the concept of a Minimum Viable Product (MVP) — the simplest version of an app that solves the user’s core problem. Creating an MVP requires thorough market research and understanding user needs. Knowing what constitutes the “minimum” for your target audience is key to defining the scope of the first version. The focus should be on features that directly address the main problem, temporarily setting aside extras. Functionality prioritisation plays a key role in MVP development. The MoSCoW method (Must have, Should have, Could have, Won’t have) can help categorise features by importance. The initial version should only include “Must have” features. After launching the MVP, the process of iterative improvement begins, driven by user feedback and behavioural data. Analytics tools like Google Analytics or Firebase provide valuable insights into user activity, while direct feedback reveals user needs and pain points. Each new iteration should focus on solving specific problems or adding value based on collected data. This cycle involves planning, designing, implementing, testing, and collecting feedback — then starting over with a better understanding of the users. The iterative approach to mobile app development brings numerous benefits: it reduces the risk of failure, speeds up time to market, enables better alignment with real user needs, and allows for efficient management of budget and resources. According to research, products developed iteratively are 60% more likely to succeed in the market compared to those built using traditional waterfall models. TTMS recommends this iterative approach to its clients, combined with the Agile methodology, which enables flexible responses to changing requirements and rapid delivery of valuable features. With UX/UI specialists and experienced developers, the app development process becomes structured and focused on real business needs and user expectations. 5. Testing and Deployment Testing and deployment are the final, yet critical, stages in the mobile app development process. Even the most innovative idea and beautiful design won’t guarantee success if the app is unstable, full of bugs, or difficult to use. A professional approach to testing and a well-thought-out deployment strategy can determine whether your project succeeds. 5.1 Testing Process: Functionality, Usability, Security Comprehensive testing of a mobile app should cover several key areas to ensure the final product is high-quality and meets user expectations. Functional testing checks whether all components of the app work as intended. This includes verifying all features, workflows, and usage scenarios. In mobile development, it’s especially important to test features unique to mobile devices, such as gesture handling, screen orientation, or offline functionality. Experts recommend creating detailed test cases that represent realistic use scenarios. Usability testing focuses on the user experience. The goal is to ensure the app is intuitive and pleasant to use. The most effective usability tests involve real users performing specific tasks without prior instructions. Observing their interactions and gathering feedback provides valuable insight into potential UX/UI issues. Studies show that testing with 5–8 users can reveal around 85% of usability problems. App security is gaining importance in light of growing cyber threats. Security testing should include verification of authentication and authorisation mechanisms, protection of locally stored and transmitted data, and resistance to common attacks. When developing Android apps, special attention should be paid to preventing SQL Injection and Cross-Site Scripting attacks, which are common on this platform. In addition to the above, comprehensive testing should also include: Compatibility testing across different devices, screen sizes, and OS versions Performance testing for speed, battery usage, and memory consumption Localisation testing to verify translation accuracy and cultural adaptations Accessibility testing to ensure the app is usable by people with disabilities The testing strategy should evolve along with the app. For new projects, it’s best to start with manual exploratory testing, which helps quickly identify major issues. As the app matures and the codebase grows, automated test coverage should be systematically expanded. 5.2 Deploying to Distribution Platforms: App Store and Google Play Deploying the app to distribution platforms is the final step before its official launch. This process differs significantly between the App Store and Google Play, which is especially important for companies developing apps for both Android and iOS. 5.2.1 App Store (iOS) Publishing an app on the App Store requires meeting Apple’s strict requirements. The process starts with creating an Apple Developer Account, which involves an annual fee of $100. This is significantly more than the one-time $25 fee required by Google Play. Preparing an app for submission includes configuration in Xcode, building, and testing on multiple iOS devices. All apps must be built using the latest version of Xcode and be compatible with current iOS versions. Developers then submit the app build along with all required marketing assets via the App Store Connect platform. The most notable part of the App Store publishing process is Apple’s detailed review. Every app is thoroughly evaluated for compliance with content, functionality, security, and performance guidelines. This process can take several days to several weeks, and the app may be rejected for violating any of the numerous rules. 5.2.2 Google Play (Android) Google Play takes a more flexible approach to app publishing compared to Apple. The process begins with creating a Google Developer Account, which requires a one-time $25 fee. Developing an Android app involves generating an APK file or, preferably, an Android App Bundle (AAB), which optimises the install size for different devices and enhances the user experience. The Google Play Developer Console allows developers to configure the app’s page, upload images, set pricing (if the app is paid), and define geographic availability. Unlike Apple, Google uses a partially automated review process, which usually takes a few hours to a few days. Since 2022, Google has introduced additional requirements for new developer accounts, including conducting at least 20 closed tests with active testers over a 14-day period before releasing a production version. Regardless of the platform, the key success factors in the deployment process include: Familiarising yourself with the latest platform guidelines and requirements Preparing high-quality marketing assets (icons, screenshots, descriptions) Setting a proper privacy policy compliant with GDPR and other regulations Configuring analytics to track app performance after launch 5.3 Automated Testing Tools for Mobile Apps Test automation has become an essential element in mobile app development, enabling faster bug detection and reducing time-to-market. In 2024, many advanced tools are available to streamline this process. Appium is one of the most popular open-source solutions for mobile testing. Its greatest strength is versatility — it supports testing of Android and iOS apps, including native, hybrid, and web apps. Appium uses the WebDriver protocol, allowing tests to be written in various programming languages such as Java, Python, or Ruby. This flexibility makes Appium a favourite among teams working on cross-platform apps. For companies focused on Android app development, Espresso is an excellent choice. Developed by Google and tightly integrated with Android Studio, Espresso offers exceptional test stability through automatic synchronisation with the app’s main thread. Tests written in Espresso are usually concise and intuitive, making them easier to maintain and expand. XCUITest is Apple’s native testing framework for iOS apps and is part of the Xcode environment. It provides seamless integration within the Apple ecosystem, which is especially valuable for teams developing iOS-only apps. XCUITest supports both unit and UI tests, ensuring comprehensive test coverage. In recent years, Detox has gained popularity as an end-to-end testing framework, particularly useful for apps built with React Native. Detox stands out by eliminating flakiness in tests through synchronisation with the app’s asynchronous operations — a significant advantage since unstable tests are one of the biggest challenges in automation. For teams seeking a commercial solution with an intuitive interface, TestComplete offers comprehensive testing capabilities for mobile, desktop, and web applications. It supports test recording and playback, which is especially helpful for less technical team members. Choosing the right test automation tool depends on several factors: The technology used to build the app (native, hybrid, React Native) The target platforms (iOS, Android, or both) The team’s experience with automated testing Integration with existing workflows (e.g., CI/CD) The project’s budget Regardless of the chosen tool, test automation should be implemented gradually, starting with the most critical and repetitive test cases. It’s also important to remember that automation doesn’t fully replace manual testing — it complements it. TTMS recommends a balanced testing approach, combining automation with exploratory testing by experienced testers. This ensures both efficiency and accuracy, leading to a higher quality final product. 6. Creating a Professional App Without Coding Knowledge With TTMS In the era of digital transformation, more and more companies are looking for ways to develop mobile applications quickly and efficiently—without hiring development teams or investing in lengthy software projects. The answer lies in low-code solutions, which TTMS successfully implements for its clients—empowering organisations of all sizes to deliver innovative digital projects. 6.1 The Low-Code Revolution in Business App Development Low-code platforms are transforming the way we approach software development. Traditional app development requires specialised programming skills, often creating barriers to innovation in companies without dedicated IT teams. TTMS specialises in using low-code platforms such as Microsoft Power Apps, enabling the creation of advanced applications without writing a single line of code—using intuitive visual interfaces. A tool like Power Apps supports drag-and-drop development, significantly reducing the time required to build a functional product. What once took months of development can now be achieved in weeks—or even days. For entrepreneurs and small businesses, this enables faster responses to market needs and new opportunities. 6.2 How to Build an App With TTMS Without Coding Skills? The process of building an app without coding skills with TTMS begins with a deep understanding of the client’s business needs. TTMS experts conduct discovery workshops to identify key functionalities, define target users, and map out critical workflows. Based on the gathered information, the TTMS team creates a prototype using Microsoft Power Apps or another appropriate low-code tool. This prototype is presented for initial feedback and iterations. The iterative method allows for rapid adaptation to changing requirements. Importantly, the low-code platforms used by TTMS support more than just simple applications. Today’s platforms enable the creation of complex business solutions integrated with various systems and databases. For example, a leave management app or a document approval process. Power Apps supports integration with over 275 data sources—from Microsoft 365 and Dynamics 365 to SAP and Salesforce. 6.3 Benefits of Using Low-Code Solutions With TTMS Developing applications in a low-code model with TTMS offers several advantages for businesses: Significant reduction in development time and cost – Compared to traditional development, low-code can be up to 10 times faster and significantly cheaper. This opens up digital opportunities for SMEs that were previously out of reach. Ease of customisation – Apps can be quickly updated to reflect changing business needs or user feedback. This flexibility is crucial in today’s fast-paced world. Democratisation of innovation – Non-technical users can contribute to app development, resulting in solutions that are more aligned with real operational needs. Faster time-to-market – Speed can determine a product’s success. Low-code development significantly accelerates this process. Sustainable digital development – TTMS not only builds the app but also trains clients to maintain and develop it over time—building internal competence and long-term value. 6.4 Success Stories With TTMS Low-Code Solutions TTMS has delivered many successful low-code implementations. One case involved an onboarding app for a large financial company. Built with Microsoft Power Apps, the solution integrated with HR systems and streamlined the onboarding process—reducing paperwork and saving time. Another case involved a manufacturing firm that needed to digitalise inventory management. TTMS delivered a mobile app to replace paper forms, automate stocktaking, and improve reporting—without a single line of code. A particularly impactful project was for Oerlikon, who needed a better time tracking system. TTMS built a Power Apps-based application enabling time entry from any device, automating approval workflows, and integrating with Power BI. Full details are available in the Power Apps case study for Oerlikon. 6.5 Sample Low-Code Business Applications 6.5.1 PulseCheck – Organisational Pulse in 30 Seconds An app for quick engagement and wellbeing surveys. Available on desktop and mobile. The one-click feedback feature helps companies monitor morale before issues escalate. Features: Runs in Power Apps and web browser—no installation Daily/weekly micro-surveys (1–3 questions like “How are you feeling today?”) Email notifications with direct form access Anonymous responses with optional comments Dashboard for HR/leaders with trend visualisations Automated alerts via Power Automate when morale dips Benefits: Real-time insight into team wellbeing Early warning for burnout and disengagement More effective than quarterly surveys Promotes a culture of care and feedback For: remote/hybrid teams, HR, startups, project managers 6.5.2 SmartShelf – Digital Shelf Assistant A simple inventory app for companies without full WMS systems. Supports real-time stock checks and restocking—fast, mobile, and paper-free. Features: QR and barcode scanning Low/out-of-stock reporting Refill alerts and scheduling Email notifications for procurement/logistics Dashboards and export to Excel or Power BI Integrates with SharePoint or Dataverse Works on staff phones and desktop browsers. For: SMEs, warehouses, workshops, production 6.5.3 Client Whisper – Micro CRM With Relationship Intelligence A lightweight app for relationship tracking. Not a full CRM, but ideal for logging soft signals—concerns, moods, hidden needs. Features: Quick notes after meetings or calls Emoji-based emotion scale + comments Follow-up reminders Integrates with Outlook and Teams Client emotion dashboard with alerts Benefits: Soft signals become a competitive edge Improves customer insight Helps new team members get up to speed faster For: B2B sales, account managers, customer success 6.5.4 SkillsBank – Hidden Skills Directory An internal tool to surface skills not listed in job roles. Helps organisations build agile teams and staff projects more effectively. Features: User-created skill profiles (design, video, languages, Excel etc.) Search by skill tags Request help function Engagement tracking and recognition badges Use cases: Better resource allocation Backups for absences Encourages internal collaboration For: HR, project leads, knowledge-based teams 6.5.5 ProductFlow – Collaborative Product Content & Visual Management A workflow app for marketing and e-commerce teams managing product content. Replaces spreadsheets and email threads with an organised system. Modules: Product Card: editing, version history Graphics Panel: visual uploads and comments Approval workflows with notifications SEO idea board with status tracking User dashboard with activity overview Integrations: SharePoint, Power Automate, Power BI, Teams, Outlook Available in browser (full features) and mobile (approvals, comments). For: e-commerce teams, marketing departments, product owners 6.5.6 SEOdeck – Central Hub for SEO Projects and Link Management An all-in-one SEO management app in Power Apps. Helps teams manage keywords, backlinks, and publishing plans with full transparency. Features: Manage SEO projects and domains Keyword tracking with history Link database with tags, statuses, and notes Change approvals and activity logs Dashboards and exports to Excel/Power BI Publishing schedules and SEO task boards User roles and permissions Availability: Power Apps + SharePoint/Dataverse Integrates with Power Automate and Teams For: SEO experts, agencies, content teams, managers 7. TTMS as a Partner in Digital Transformation TTMS sees itself not merely as a low-code solution provider but as a strategic partner in the digital transformation of businesses. TTMS’s approach combines the technological capabilities of low-code platforms with a deep understanding of business processes and user needs. Working with TTMS in app development goes beyond technical implementation—it includes strategic consulting, design thinking workshops, end-user training, and post-launch support. This holistic methodology ensures that low-code solutions are not only technically sound but also perfectly aligned with the client’s business goals. As business applications become increasingly common and essential in daily operations, the low-code approach promoted by TTMS offers a democratic alternative to traditional development. It enables companies of all sizes to take part in the digital revolution without needing large IT teams or significant technology budgets. Building applications with TTMS is not just a technical process—it’s a true transformation in how digital solutions are perceived within the organisation. The mindset shifts from “can we afford this?” to “how fast can we launch it?” This shift in perspective is a key factor in succeeding in today’s technology-driven economy. Contact us today!
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ChatGPT Salesforce Integration: Benefits and Best Practises
As technology evolves, so do the ways in which businesses interact with customers and streamline operations. At TTMS, we’re always looking for solutions that drive efficiency and enhance customer engagement. Integrating ChatGPT with Salesforce is one such solution that can transform the way your organization communicates, processes data, and makes decisions. In this article, we’ll explore the benefits of this integration and share best practices to ensure a smooth and successful implementation. 1. Combine the power of ChatGPT and Salesforce Salesforce already includes powerful AI-driven tools designed to improve customer interactions and streamline workflows. AgentForce, Salesforce’s AI-powered assistant, helps service agents by providing intelligent case routing, automated summaries, and real-time recommendations to enhance customer support efficiency. However, integrating ChatGPT with Salesforce can take these capabilities even further. ChatGPT’s advanced natural language understanding and generative AI capabilities can enhance customer interactions with more fluid and context-aware conversations, generate personalized responses instantly, and assist teams in drafting summaries or knowledge base articles. By combining Salesforce’s structured AI tools with ChatGPT’s conversational intelligence, businesses can create a more seamless, efficient, and human-like customer experience while optimizing internal operations. 1.1 The Role of AI in CRM Systems Artificial Intelligence has become a game-changer in the CRM landscape, transforming how businesses manage customer relationships. Modern CRM systems are no longer just databases for storing customer information; they’ve evolved into intelligent platforms that can predict, analyze, and enhance customer interactions in real-time. AI-powered CRM systems can process vast amounts of customer data to identify patterns, predict behaviors, and automate routine tasks. According to recent studies, integrating AI into CRM operations can significantly improve customer satisfaction rates while reducing operational costs. The ability to analyze customer interactions and provide actionable insights has made AI an indispensable tool in modern CRM strategies. 1.2 Overview of Salesforce and ChatGPT ChatGPT is an advanced language model that understands and generates human-like text. When paired with Salesforce—a leading CRM platform that helps businesses manage relationships and data—the result is a powerful synergy. This integration leverages artificial intelligence to automate tasks, deliver personalized customer support, and provide actionable insights. 1.3 Why Integrate ChatGPT with Salesforce? In a fast-paced digital landscape, the ability to provide timely and accurate responses is crucial. By integrating ChatGPT with Salesforce, organizations can enhance customer interactions, streamline internal processes, and ultimately drive business growth. Whether it’s responding to customer inquiries or managing complex data workflows, this integration offers a competitive edge. 2. Benefits of Integrating ChatGPT with Salesforce 2.1 Enhanced Customer Support Automated Case Resolution: The integration can help analyze customer issues and suggest resolutions, reducing wait times and freeing up support teams for more complex tasks. Personalized Interactions: With access to historical data stored in Salesforce, ChatGPT can craft responses that are contextually aware and tailored to individual customer needs. 2.2 Improved Sales and Lead Management Lead Qualification and Follow-up: ChatGPT can assist in qualifying leads by analyzing engagement patterns and automating follow-up communications, ensuring that potential opportunities are not missed. Predictive Insights: By analyzing customer interactions and historical data, the integration can offer predictive recommendations to drive sales strategy and improve conversion rates. 2.3 Streamlined Marketing Automation Content Generation: The AI can generate personalized marketing materials—from emails to social media posts—tailored to your audience segments. Targeted Customer Segmentation: Leveraging data insights, ChatGPT can help identify distinct customer groups, enabling more focused and effective marketing campaigns. Sentiment Analysis: Monitor customer sentiment across various channels, helping you adjust strategies in real time to maintain a positive brand image. 2.4 Efficient Data Management and Workflow Automation Automated Data Capture and Entry: ChatGPT can assist in capturing data from customer interactions, ensuring that Salesforce records remain accurate and up-to-date. Data Cleansing: The integration can help identify and correct inconsistencies or duplicates, improving data quality. 2.5 Advanced Analytics and Decision-Making Trend Prediction: Identify emerging trends and patterns, allowing your team to proactively adjust strategies. Competitive Analysis: Compare your organization’s performance with industry benchmarks to stay ahead of the competition. 2.6 Cost and Time Savings Optimized Resource Allocation: By automating repetitive tasks, human agents can focus on more complex issues, ensuring better use of resources. Reduced Operational Costs: Enhanced automation and efficiency often translate into significant cost savings over time. Faster Response Times: The immediacy of AI-powered responses enhances customer satisfaction and loyalty. 3. Salesforce ChatGPT – Best Practices for a Successful Integration 3.1 Strategic Planning and Goal Setting Before embarking on the integration, clearly define your objectives and key performance indicators (KPIs). Understanding what you aim to achieve—be it improved customer support or streamlined sales processes—will guide your implementation strategy. 3.2 Ensuring Data Security and Compliance Data protection is paramount. Ensure that the integration complies with regulations such as GDPR and HIPAA by implementing robust security protocols and role-based access controls. This protects sensitive information and builds trust with your customers. 3.3 Customization and Scalability Every organization is unique. Customize the ChatGPT model to align with your industry-specific language and customer expectations. Moreover, plan for scalability to accommodate growth and evolving business needs. 3.4 Seamless Multi-Channel Integration Customers interact with your brand across multiple channels. Ensure that ChatGPT is integrated seamlessly across all touchpoints—including web, mobile, email, and social media—to provide a consistent experience. 3.5 Continuous Testing and Iteration Technology and customer expectations are always evolving. Regularly test the integration, gather feedback, and make iterative improvements to keep the system performing optimally. 4. Implementation Steps and Considerations of ChatGPT and Salesforce 4.1 Assessing Your Current Salesforce Setup Begin by evaluating your existing Salesforce environment. Identify integration points, assess data quality, and pinpoint potential challenges. A thorough assessment lays the foundation for a successful integration. 4.2 Setting Up ChatGPT for Salesforce Once you’ve identified the requirements, work on the technical integration. This involves configuring APIs, setting up data pipelines, and customizing ChatGPT to work within your Salesforce framework. Collaboration between IT, CRM specialists, and business teams is key during this stage. 4.3 Training Your Team and Driving Adoption An integration is only as good as its adoption. Provide comprehensive training to your team to ensure they understand how to leverage ChatGPT’s capabilities effectively. Change management initiatives can help in driving user adoption and maximizing the benefits of the integration. 5. Long-term Benefits of ChatGPT and Salesforce Collaboration Investing in AI integrations is a long-term strategy, and the collaboration between ChatGPT and Salesforce creates lasting value beyond initial implementation. Businesses benefit from enhanced customer experiences with 24/7 personalized support, faster response times, and multilingual communication. AI-powered interactions ensure consistent quality while creating more engaging and seamless customer journeys that drive satisfaction and loyalty. Beyond customer engagement, this integration boosts operational efficiency by automating data entry, optimizing workflows, and reducing manual tasks. Teams can collaborate more effectively, while AI-driven insights enhance decision-making. Additionally, advanced analytics—such as predictive sales forecasting, real-time market trend analysis, and automated reporting—help businesses stay ahead of shifting demands with data-driven strategies. Long-term cost savings and a stronger competitive edge make this integration even more valuable. Reduced overhead costs, lower training expenses, and improved resource allocation lead to increased productivity across teams. Businesses gain the agility to respond quickly to market changes, deliver innovative solutions, and scale operations with confidence. As AI technology continues to evolve, the synergy between ChatGPT and Salesforce ensures organizations remain adaptable, efficient, and future-ready. 6. Conclusion Integrating ChatGPT with Salesforce unlocks a myriad of benefits—from enhanced customer support and improved sales management to streamlined data workflows and advanced analytics. By following best practices in planning, security, customization, and continuous improvement, organizations can maximize these benefits and drive meaningful business transformation. At TTMS, we believe that leveraging innovative technologies is the key to staying ahead in today’s competitive landscape. Integrating ChatGPT with Salesforce is not just a technological upgrade—it’s a strategic move towards a more agile, customer-centric, and data-driven future. Explore this integration to empower your team, delight your customers, and drive sustainable growth. 7. How TTMS can help you to integrate Salesforce with ChatGPT? TTMS offers comprehensive support and expertise to help organizations successfully integrate ChatGPT with Salesforce. With a team of certified professionals and years of experience in both platforms, TTMS ensures a smooth integration process tailored to your specific business needs. 7.1 Expert Consultation and Planning At TTMS, we start with a detailed assessment of your current systems to identify integration opportunities. We then develop a custom strategy that includes ROI analysis and planning, design a robust technical architecture, and conduct a comprehensive security compliance evaluation. This expert consultation and planning phase lays the foundation for a seamless, secure integration tailored to your business needs. 7.2 Implementation Services At TTMS, we manage the complete technical setup and configuration while providing custom development tailored to your needs. We also ensure accurate data migration and validation, conduct thorough integration testing and quality assurance, and offer user training along with comprehensive documentation. This full-service approach guarantees a smooth and efficient integration process. 7.3 Ongoing Support and Optimization At TTMS, we provide 8/5 technical support while continuously monitoring performance and delivering regular system updates. We also focus on continuous optimization and perform periodic security audits and maintenance. This proactive support approach ensures the long-term success of your integrated solution. 7.4 Value-Added Services At TTMS, we implement best practices and tailor industry-specific customizations to your needs. We also plan for scalability and provide change management support to ensure a smooth transition. Finally, our performance analytics and reporting offer actionable insights to drive continuous improvement. These additional benefits create a robust, adaptable solution for your organization’s success. To integrate Chat GPT with Salesforce effectively, TTMS follows a proven methodology that ensures minimal disruption to your business operations while maximizing the benefits of the integration. The company’s expertise helps organizations avoid common pitfalls and accelerate their digital transformation journey. Contact TTMS today to discuss how they can help transform your CRM capabilities through expert integration services and ongoing support. (dodać link do formularza kontaktowego) Our recent case studies: Elgór+Hansen S.A. – Service Transformation with Salesforce Service Cloud Salesforce Implementation Case Study at KEVIN: An Example of Small Business Example of Consent Collection and Management Platform Integration in Pharma Company Example of Salesforce Implementation: A Platform for Digital health in Pharma Can ChatGPT be integrated with Salesforce? Yes, ChatGPT can be fully integrated with Salesforce through its API. This integration enables organizations to enhance their CRM capabilities with AI-powered features such as automated customer service, intelligent data analysis, and personalized communication. The integration process requires proper API setup, authentication, and configuration within the Salesforce environment to ensure secure and efficient operation. Can ChatGPT replace Salesforce? No, ChatGPT cannot replace Salesforce. While ChatGPT is a powerful AI language model, Salesforce is a comprehensive CRM platform that manages customer relationships, sales processes, and business operations. Instead, ChatGPT serves as a complementary tool that enhances Salesforce’s capabilities by adding intelligent conversation abilities, automated responses, and advanced data processing features. How does Salesforce integrate with Chatbots? Salesforce integrates with chatbots through several methods: API connections for data exchange Custom development using Apex classes Lightning Web Components for user interface Einstein Bot platform integration Third-party chatbot connectors The integration allows for real-time data synchronization, automated workflow triggers, and seamless customer interaction management within the Salesforce ecosystem. Can AI chatbots be integrated with existing systems? Yes, AI chatbots can be integrated with existing systems through various methods: REST/SOAP API integrations Webhook implementations Custom middleware solutions Native platform connectors Database synchronization This flexibility allows organizations to enhance their current systems with AI capabilities while maintaining existing workflows and processes. The integration can be customized to meet specific business requirements and security standards.
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AEM Headless Architecture Explained – Key Features and Business Benefits
Delivering content efficiently across multiple platforms is no longer optional—it’s essential. With the rise of omnichannel experiences, businesses are turning to headless architecture to gain flexibility and scalability in content management. Adobe Experience Manager (AEM) Headless Architecture is at the forefront of this evolution, enabling enterprises to manage structured content and deliver it seamlessly via APIs. But what makes AEM stand out from other headless CMS solutions? And how can it transform your approach to content delivery? 1. Understanding AEM Headless Architecture AEM headless architecture represents a fundamental shift in how content is managed and delivered across digital channels. Unlike traditional CMS approaches, this architecture decouples content creation from presentation, creating a more flexible and future-proof content ecosystem. Key Concept: AEM headless separates the content repository (the “body”) from the presentation layer (the “head”), allowing content to exist independently of how and where it will be displayed. This separation enables: Content authors to create, manage, and store structured content in AEM Developers to retrieve that content via APIs and display it on any frontend system Organisations to maintain a single source of truth while delivering content to multiple channels The architecture leverages RESTful APIs and GraphQL to serve content dynamically to different channels—websites, mobile apps, IoT devices, kiosks, or emerging technologies. This API-first approach means that content stored in AEM can be consumed by any application capable of making API requests, regardless of programming language or platform. 2. AEM as a Headless CMS: Key Features and Capabilities Adobe Experience Manager (AEM) has evolved beyond traditional content management, offering a robust headless CMS solution that enhances efficiency and streamlines content delivery. Companies adopting headless CMS platforms experience significant improvements in ROI and a noticeable reduction in development time. Let’s explore the key features that make AEM a top choice for modern content strategies. 2.1 Structured Content Fragments, Reusability, and API-based Delivery Content Fragments form the backbone of AEM headless CMS functionality: Created using predefined Content Fragment Models (templates defining structure) Enable truly channel-agnostic content creation Allow content authors to focus purely on content creation rather than presentation API-driven delivery mechanisms set AEM headless CMS apart: Robust GraphQL and RESTful APIs enable precise content queries Granular control optimises performance by delivering only necessary content Experience Fragments complement Content Fragments by allowing reuse of not just component groups, but also complete layouts and metadata. They can be referenced within multiple pages, exported for use in third-party systems (as HTML or JSON), and integrated with Adobe Target for omnichannel personalisation. Experience Fragments support the creation of multiple variations, enabling tailored experiences for different channels or campaigns, and eliminating the need for manual copy-paste operations. 2.2 In-Context Editing, UX Advantages, and Extensibility One common challenge with headless CMS solutions is the disconnection between content creation and the final rendered experience. AEM headless addresses this through: Universal Editor – Enables visual editing of content that will be delivered to decoupled front-ends Intuitive interface – Maintains the WYSIWYG experience content teams expect Extensibility options – Custom content models, workflows, and integrations Multi-site management – Efficient governance of content across properties and channels This approach provides substantial business value by making it easier to deliver seamless and engaging digital experiences—something that the majority of companies recognise as a key advantage of headless platforms. 3. Business and Technical Benefits of AEM Headless Architecture The strategic implementation of AEM headless architecture delivers substantial advantages for organisations seeking to modernise their content delivery capabilities. These benefits extend beyond technical improvements, creating tangible business value. 3.1 Flexibility, Adaptability, and Omnichannel Personalisation Enhanced flexibility and future-proofing: Rapid adaptation to emerging channels without rebuilding infrastructure Freedom for marketing teams to focus on content while tech teams optimise delivery Quick extension to new touchpoints (voice assistants, AR, IoT) without starting from scratch Improved omnichannel personalisation: Tailored experiences combining structured content with user data Dynamic presentation adjustment based on device and context Adobe Experience Manager Headless integrates seamlessly with Adobe Target, enabling the export of Content Fragments into Target and the creation of personalised omnichannel experiences using the Adobe Experience Platform Web SDK (alloy.js). This integration supports advanced A/B testing and real-time content optimisation, empowering businesses to deliver highly relevant experiences to their audiences. Furthermore, integration with Adobe Analytics provides detailed insights into user behaviour and content performance, allowing data-driven decision-making and continuous improvement of personalisation strategies Headless architecture simplifies content distribution across multiple channels, ensuring consistency and efficiency. It enables businesses to maintain a unified brand experience while optimising content reuse, making it a strategic choice for organisations looking to scale and personalise their digital presence. 3.2 Agile Development, Scalability, and Content Consistency Development advantages: Freedom for front-end developers to use preferred modern frameworks (React, Angular, Vue) Accelerated development cycles and improved talent retention Independent scaling of content delivery networks from management systems Business benefits: Enhanced content consistency across all channels Streamlined localisation and translation workflows Reduced risk of outdated information appearing on secondary channels Headless architecture enhances flexibility and personalisation by enabling seamless content adaptation across multiple channels. It allows marketing teams to focus on content creation while technical teams optimise delivery, making it easier to extend content to new touchpoints like voice assistants, AR, and IoT. Additionally, it supports consistent and dynamic personalisation across devices, ensuring a cohesive user experience. Businesses increasingly recognise these benefits, noting that headless solutions simplify content consistency and improve content reuse efficiency. 4. Implementing AEM Headless Architecture: Steps and Best Practices Successfully deploying AEM headless architecture requires strategic planning and technical expertise. Organisations should be aware of common challenges and proven solutions to ensure optimal implementation outcomes. 4.1 Setup, Configuration, and Seamless System Integration Implementation roadmap: Planning phase (2–4 weeks) Define content strategy and information architecture Map content types, relationships, and delivery requirements Design comprehensive Content Fragment Models Development phase (8–12 weeks) Configure AEM environment with proper author/publish separation Implement GraphQL endpoints and API design Develop front-end consumption frameworks Integration phase (4–6 weeks) Connect with existing martech stack components Implement authentication protocols like OAuth 2.0 Set up language copy inheritance and translation workflows Testing & Optimisation phase (2–4 weeks) Performance testing and optimisation Security validation User acceptance testing 4.2 Common Challenges and Proven Solutions Based on industry experience, organisations typically face several key challenges when implementing AEM headless architecture: Front-end Development Complexity Challenge: Headless separates front-end from back-end, requiring developers to create custom templates and layouts across different front-ends Solution: Design structured, future-proof front-end components and content models; implement server-side rendering or static site generation; leverage AEM’s SPA Editor framework API Management and Performance Challenge: Poor API management can lead to performance issues, especially at scale Solution: Implement robust API management practices including versioning and security controls; leverage AEM’s built-in CDN and advanced caching strategies; fine-tune dispatcher configuration Content Modelling and Governance Challenge: Structuring content for multiple channels can be complex for large organisations Solution: Carefully plan content models considering different brands, regions, and channels; establish clear governance frameworks; utilise AEM’s Content Fragment models effectively Migration and Integration Challenge: Moving existing content to a headless structure can be time-consuming Solution: Conduct thorough content audits; use automated migration tools; leverage AEM’s APIs for connecting with other platforms Change Management and Training Challenge: Adopting headless requires new workflows and skills Solution: Introduce change management programmes early; provide ongoing support and education; consider a hybrid approach to ease transition 4.3 Optimising Performance, Security, and User Experience For optimal implementation results: Implement multi-layered caching including CDN, dispatcher, and application-level strategies Design efficient GraphQL queries that retrieve precisely what’s needed Implement proper authentication for API access with OAuth 2.0 or JWT tokens Use server-side rendering or static site generation for web front-ends to maintain SEO Establish robust monitoring and analytics for ongoing optimisation 5. Comparing Headful, Headless, and Hybrid Approaches in AEM Approach Key Characteristics Best For Limitations Traditional (Headful) • Integrated content and presentation • WYSIWYG editing • Template-based • Complex website experiences • Teams preferring visual editing • Single-channel delivery • Limited multichannel capabilities • Less front-end flexibility • Potential technical debt Headless • Decoupled content and presentation • API-first delivery • Structured content • Omnichannel strategies • Front-end framework freedom • Future-proofing • More complex initial setup • Learning curve for authors • Requires developer resources Hybrid • Combines traditional and headless • Selective API delivery • Phased transition capabilities • Organisations balancing web and multichannel needs • Gradual migrations • Mixed technical requirements • Potential architecture complexity • Governance challenges • Requires clear strategy When evaluating architectural options, organisations should consider: Content authoring experience requirements Current and future channel needs Development team expertise Performance considerations Long-term digital roadmap Companies are increasingly adopting headless architecture for its scalability and flexibility in content management. Organisations using headless solutions tend to handle growth and multi-channel content distribution more effectively than those relying on traditional approaches. 6. How TTMS Can Help You Implement AEM as a Headless CMS Implementing AEM headless CMS requires specialised expertise to fully unlock its potential. As a Bronze Adobe Solution Partner, TTMS brings deep technical knowledge and practical experience to guide your organisation through the complexities of headless implementation. 6.1 Our Differentiated Approach Strategic Assessment and Planning Comprehensive evaluation of your existing content ecosystem Development of tailored implementation strategies aligned with business objectives Content modelling expertise that balances flexibility with governance Industry-Specific Implementation Experience Specialised web portal development for highly regulated industries like pharmaceuticals Experience building doctor portals, patient portals, and product catalogues Expertise in maintaining compliance while leveraging headless flexibility Technical Excellence and Integration Capabilities Certified AEM specialists with deep platform knowledge Extensive experience integrating AEM with Marketo, Campaign, Analytics, Salesforce, and CIAM systems Migration expertise for organisations with existing AEM investments Proprietary Accelerators and Tools Purpose-built tools addressing common headless implementation challenges Accelerators for content modelling, API configuration, and front-end integration Significantly compressed implementation timelines while maintaining quality 6.2 Our Implementation Methodology Our approach encompasses: Discovery & Strategy Content audit and needs assessment Channel strategy development Architecture pattern recommendation Design & Development Content model creation API implementation and optimisation Front-end integration and development Integration & Testing MarTech stack integration Performance optimisation Comprehensive security testing Training & Launch Knowledge transfer and documentation Author training Phased deployment strategy Continuous Optimisation Performance monitoring Feature enhancement Ongoing support and governance “We understand that every business is unique, which is why we take a personalised approach to every project we work on,” explains our senior AEM architect. “Our team takes the time to understand your business, your goals, and your specific needs before recommending the appropriate headless architecture pattern.” Whether you’re considering your first step into AEM headless architecture or expanding an existing implementation to support new channels, TTMS provides the expertise, experience, and implementation accelerators to ensure your project succeeds. Contact us today! Check our AEM related Case Studies: Headless CMS Architecture Case Study: Multi-App Delivery Pharma Design System Case Study: Web Template Unification Case Study: Migration from Adobe LiveCycle to AEM Forms AEM Cloud Migration Case Study: Watch Manufacturer AI-Driven SEO Meta Optimisation in AEM: Stäubli Case Study FAQ What is a headless architecture? Headless architecture represents a fundamental shift in content management where the backend content repository (the “body”) is completely separated from the frontend presentation layer (the “head”). Instead of generating HTML pages directly, a headless CMS stores and manages content in a structured format and delivers it via APIs to any frontend system. This enables content publication across multiple channels from a single source of truth without duplicating management efforts. What is a traditional CMS? A traditional CMS integrates content management and presentation in a tightly bound system. Content authors create content directly within templates that define how it will appear on websites. This approach includes WYSIWYG editing, built-in preview capabilities, and visual page building tools that make it accessible for non-technical users. While excellent for website management, traditional CMS becomes limiting when delivering content to multiple channels. What is a hybrid CMS? A hybrid CMS combines strengths of both traditional and headless approaches, offering flexibility to use either model as appropriate. Organizations can maintain visual editing and preview capabilities for website content while simultaneously making that same content available via APIs for other channels. This provides a practical transition path for organizations with established traditional CMS implementations that want to extend content to new channels without disruption. Is Adobe AEM headless? Yes, Adobe Experience Manager supports robust headless capabilities alongside its traditional content management features. AEM’s headless implementation centers around Content Fragments and Content Fragment Models for structured content creation independent of presentation. These fragments can be delivered via AEM’s GraphQL API, allowing developers to query precisely the content needed for any frontend application. This dual functionality positions AEM as an enterprise-grade hybrid CMS supporting both approaches within a single platform.
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Salesforce Net Zero Cloud – How to Prepare Your Company for Mandatory ESG Reporting (CSRD)
Starting in 2025, thousands of companies across the European Union will face new ESG reporting obligations under the Corporate Sustainability Reporting Directive (CSRD). Businesses will be required to provide detailed information about their environmental and social impact, as well as their governance practices, in accordance with the European Sustainability Reporting Standards (ESRS). This marks a significant shift that requires both organizational preparation and the implementation of appropriate tools. In response to these challenges, companies are increasingly turning to modern solutions such as Salesforce Net Zero Cloud, which automates data collection and ensures regulatory compliance. In this article, we explain how to prepare your company for mandatory ESG reporting and how technology can simplify the process. 1. What Is a Sustainability Report? A Sustainability Report is a document in which an organization presents information about its impact on the environment, social issues, and corporate governance. The goal is to provide transparency about the company’s ESG (Environmental, Social, Governance) activities. 1.1 What Does a Sustainability Report Include? Typical contents include: Greenhouse gas emissions (GHG) – covering Scope 1, 2, and 3 emissions Resource consumption – energy, water, raw materials Waste management – amount of waste generated, recycling efforts Social impact – employment policies, gender equality, workplace safety Corporate governance – transparency in management, business ethics, anti-corruption measures Community engagement – social initiatives, cooperation with NGOs 1.2 Why Is Sustainability Reporting Important? Regulatory requirements – in the EU, large companies must report in line with the CSRD Stakeholder trust – investors, customers, and partners increasingly expect ESG transparency Risk management – helps companies identify and mitigate environmental and social risks Brand building – sustainability-conscious companies gain a competitive edge 1.3 Reporting Standards Commonly used reporting standards include: GRI (Global Reporting Initiative) – the most popular and comprehensive framework SASB – focuses on disclosures relevant to investors TCFD – recommendations for disclosing climate-related risks CDP – climate data disclosure system GHG Protocol – international standard for measuring and reporting greenhouse gas emissions ESRS (European Sustainability Reporting Standards) – developed by EFRAG for companies subject to CSRD 1.4 Who Publishes Such Reports? Primarily: Multinational corporations Publicly listed companies Financial institutions Large enterprises in the EU (mandatory from 2024/2025 under CSRD) 2. How to Prepare Your Company for Mandatory ESG Reporting (CSRD) Implementing mandatory ESG reporting in line with the CSRD directive requires both technological and organizational changes. Here are five key steps every organization should take: 1. Understand the New Regulatory Requirements Familiarize yourself with the CSRD directive and reporting standards (ESRS, GRI, TCFD). Identify which aspects of your business are subject to reporting. Determine your compliance timeline (for many companies, this starts in 2025 for the 2024 reporting year). 2. Assess Your Organization’s ESG Maturity Evaluate whether your company already collects ESG data and how it is gathered. Identify gaps: missing data, inconsistent sources, lack of systems for data aggregation. Conduct a gap analysis to assess compliance readiness with CSRD requirements. 3. Build a Project Team and Engage Leadership ESG should not be siloed within a single department. Collaboration is needed across departments: finance, IT, operations, HR, and compliance. Management’s role: set ESG goals and align them with overall business objectives. 4. Invest in ESG Management Tools Move beyond spreadsheets and adopt professional solutions like Salesforce Net Zero Cloud. This enables: Automated data collection from multiple systems Compliance with reporting formats (e.g., ESRS) Emissions analysis and forecasting (Scope 1, 2, and 3) Transparent and auditable data 5. Establish a Continuous ESG Process and Culture ESG is not a once-a-year report — it’s an ongoing process. Plan for regular data updates, KPI reviews, and employee training. Preparing your organization for mandatory ESG reporting under the CSRD is a complex process that requires a strategic approach, cross-departmental engagement, and investment in the right tools. It’s not just about meeting regulatory obligations — it’s about building a culture of ESG throughout the company. Although implementing these changes can be challenging, the right technological support — such as Salesforce Net Zero Cloud — significantly simplifies the process. 3. What Is Salesforce Net Zero Cloud? Salesforce Net Zero Cloud is an advanced platform for comprehensive sustainability management and ESG (Environmental, Social, Governance) reporting. It was developed in response to the growing need among companies to effectively monitor and reduce their carbon footprint. Net Zero Cloud serves as a centralized repository for a company’s environmental data, collecting information from various sources such as: Energy consumption in buildings and facilities Emissions from corporate transportation Waste management Emissions across the value chain (Scope 3) The platform transforms this raw data into actionable insights and analytics, supporting informed business decisions aimed at sustainable growth. Salesforce Net Zero Cloud Dashboard 3.1 Key Advantages of Net Zero Cloud Salesforce’s solution stands out thanks to several important features: Versatility – a platform adaptable to various industries and organization sizes Scalability – grows alongside your company and evolving reporting needs Regulatory compliance – automatically aligns with CSRD and other reporting standards Ease of integration – seamlessly connects with existing Salesforce systems and other business tools Thanks to these qualities, both small companies beginning their sustainability journey and large multinational corporations with complex structures can effectively benefit from this solution. 4. How Does Net Zero Cloud Work? Salesforce Net Zero Cloud operates as a comprehensive emissions management and ESG reporting system, leveraging advanced technology to transform how organizations track their carbon footprint. 4.1 Automated Data Collection and Integration At the core of the platform is the automation of data collection and integration from various organizational sources. By utilizing tools like MuleSoft, the platform: Eliminates tedious, manual data entry Saves time Minimizes the risk of human error Ensures consistency and reliability of the collected data 4.2 Platform Features and Capabilities Overview Net Zero Cloud offers a powerful suite of features designed to support a holistic approach to sustainability management: Climate Action Dashboard – an interactive interface providing a comprehensive view of emissions, resource consumption, and progress toward climate goals. It enables real-time tracking of ESG metrics, comparison with targets, and identification of areas requiring action. Detailed Emissions Tracking by Scope (Scope 1, 2, and 3) – in line with the Greenhouse Gas Protocol, the platform allows for identifying and classifying emissions across all three scopes, providing a clear picture of the organization’s total carbon footprint. This supports reporting in compliance with international standards, including CSRD and GRI. Scope 3 Emissions Hub – a dedicated module for monitoring emissions across the entire value chain, including suppliers, logistics partners, and other external stakeholders. It enables data collection from multiple sources, normalization, and climate risk assessment in a B2B context. Scenario Simulation – an advanced analytics tool that models future emissions based on strategic decisions (e.g., switching suppliers, investing in renewable energy, upgrading machinery). This functionality helps companies not only respond to current challenges but also proactively plan and optimize their long-term climate strategies. Interactive charts enable detailed tracking of emissions across the entire organization. 4.3 Emissions Data Management Managing emissions data in Net Zero Cloud is a multi-step process: Collecting raw data on energy consumption, transportation, and other emission sources Automatically converting this data into CO₂ equivalents using built-in emission factors Consolidating the information into a central repository – a single source of truth Monitoring progress toward reduction goals with real-time tracking capabilities This centralized approach simplifies audits and certifications while also enhancing cross-department collaboration, allowing sustainability, operations, and finance teams to work with the same up-to-date information. 4.4 The Role of Artificial Intelligence in ESG Reporting Net Zero Cloud leverages advanced AI and machine learning algorithms, including Salesforce’s Einstein technology, to optimize ESG reporting processes: Automatically analyzes historical emissions data to identify trends and anomalies Intelligently fills data gaps using predictive models, flagging inconsistencies and suggesting corrections Identifies high-emission areas and recommends potential reduction actions Offers advanced data visualization through integration with Tableau This predictive analytics approach enables organizations to act proactively rather than simply reacting to issues after they occur. 5. Benefits of Implementing Salesforce Net Zero Cloud Implementing Net Zero Cloud provides organizations with a wide range of tangible benefits that go well beyond merely meeting ESG reporting requirements. 5.1 Accurate Emissions Tracking and ESG Data Management Net Zero Cloud allows for precise monitoring of greenhouse gas emissions across Scope 1, 2, and 3 by consolidating data from multiple sources, including energy use, business travel, and supplier activity. This gives companies a comprehensive view of their carbon footprint and supports effective ESG data management. 5.2 Automated Reporting and Regulatory Compliance The platform automates reporting processes and provides ready-to-use templates aligned with global standards such as the GHG Protocol, CDP, and CSRD. This simplifies compliance and enhances transparency for stakeholders. 5.3 Advanced Analytics and Forecasting Thanks to its built-in analytics tools, Net Zero Cloud enables the modeling of different emissions reduction scenarios, forecasting of future emissions, and identification of areas needing improvement. This supports informed, strategic decision-making. Built-in analytics tools enable customization of reports and visualizations. 5.4 Supplier Engagement and Supply Chain Management The platform facilitates collaboration with suppliers through dedicated portals, enabling data collection on emissions across the entire value chain. This fosters joint efforts toward reducing the carbon footprint and improving supply chain transparency. 5.5 Reduction of Operational Costs By identifying areas with high energy consumption and emissions, companies can implement optimization measures that lead to reduced operational costs and improved energy efficiency. 5.6 Strengthened Reputation and Investor Appeal Transparent reporting and tangible sustainability actions build a positive brand image, helping attract environmentally conscious investors and customers. Demonstrating ESG commitment can also become a key differentiator in competitive markets. 5.7 Scalability and Integration with the Salesforce Ecosystem Net Zero Cloud is a flexible solution adaptable to the needs of organizations of all sizes and industries. Its integration with other Salesforce products—such as Sales Cloud and Service Cloud—enables unified data and process management across the enterprise. 6. How Different Industries Benefit from Implementing Net Zero Cloud Deploying Net Zero Cloud offers tangible advantages across industries—each facing unique emissions sources, data structures, and regulatory expectations. Below are examples of how specific sectors can leverage the platform to meet ESG requirements and gain a competitive edge: 6.1 Manufacturing and Heavy Industry Real-time tracking of Scope 1 and 2 emissions (e.g., furnaces, production lines, fuel combustion) Identification of the most emission-intensive processes with optimization opportunities (e.g., upgrading equipment, switching to renewable energy) Proof of compliance with environmental regulations (e.g., EU ETS, ISO 14001 standards) Support in obtaining “green industry” certifications, increasing appeal to international partners Interactive reports allow you to monitor the parameters that matter most to your organization. 6.2 Transport and Logistics Detailed analysis of emissions from vehicle fleets (Scope 1) and deliveries (Scope 3) Scenario modeling capabilities (e.g., what if 20% of the fleet switched to electric vehicles?) Better management of fuel costs and CO₂ emissions A value proposition for e-commerce and retail clients, who increasingly require ESG reporting from suppliers 6.3 Banking and Financial Sector ESG scoring of clients and investments—integrating ESG data into credit and investment processes Compliance with the EU taxonomy and SFDR regulations (for investment funds) Building investor and client trust through transparent reporting of a portfolio’s climate impact Identifying climate-related risks (e.g., exposure to carbon-intensive sectors) 6.4 Retail and FMCG Sector Monitoring emissions throughout the supply chain (Scope 3) Better waste management and energy consumption tracking in stores and logistics centers Ability to label products as “low-emission” or “sustainable” based on system data Addressing consumer and retailer demands (e.g., from Lidl, Carrefour, Amazon) for climate accountability 6.5 Hospitality and Commercial Real Estate Managing energy usage in buildings (Scope 2) and optimizing HVAC system operations Supporting LEED/BREEAM certifications—Net Zero Cloud can serve as an audit foundation Tracking water consumption, waste emissions, and the carbon footprint of guests Competitive advantage in bids and for B2B clients focused on ESG criteria 6.6 Technology and IT Services Emissions from offices and data centers—integration with energy management systems Supporting corporate clients in their ESG strategies (Net Zero Cloud as part of service offerings) ESG reporting as a competitive edge in B2B sales and international tenders These are just a few common use cases—Net Zero Cloud adapts to the specific needs of each industry, automates data collection from various sources, and supports both regulatory compliance and tangible competitive advantage. Want to know how Net Zero Cloud can support your company? Contact us, and we’ll show you how to unlock the platform’s full potential. 7. Implementing Salesforce Net Zero Cloud with TTMS Rolling out Net Zero Cloud is a complex process that requires not just technical knowledge but also a deep understanding of ESG principles and industry-specific needs. TTMS offers end-to-end support at every stage of implementation. 7.1 Our Implementation Approach TTMS applies a methodology that combines proven project management practices with the flexibility to meet each organization’s individual requirements: In-depth preliminary analysis – understanding your business goals and ESG strategy Organizational maturity assessment – identifying available data sources and potential challenges Realistic implementation roadmap – setting clear milestones and expected outcomes Future-proof configuration – anticipating regulatory changes and sustainability trends 7.2 TTMS’s Unique Competencies and Experience The TTMS team brings together unique capabilities, including: Deep expertise in Salesforce technologies Specialist knowledge of ESG standards and regulations Proven experience in business transformation projects The ability to align environmental goals with financial performance 7.3 Comprehensive Post-Implementation Support TTMS goes beyond technical deployment, offering: Training programs tailored to different user groups Organizational change workshops to support adoption Ongoing system performance reviews Advisory services to optimize ESG strategy By choosing TTMS as your implementation partner, your organization gains access to a multidisciplinary team of sustainability experts, enabling a holistic approach to ESG transformation and maximizing the business value of Salesforce Net Zero Cloud. What is Salesforce Net Zero Cloud? Salesforce Net Zero Cloud is a comprehensive sustainability management platform designed to monitor, analyze, and report ESG (Environmental, Social, Governance) initiatives. This advanced cloud solution: Integrates seamlessly with the broader Salesforce ecosystem Tracks greenhouse gas emissions across all three scopes (Scope 1, 2, and 3) Automatically converts data on energy consumption, transportation, and other activities into CO₂ equivalents Enables both real-time monitoring of the carbon footprint and forecasting of future emissions A standout feature of Net Zero Cloud is its robust capability to track Scope 3 emissions, which are often the most challenging for companies striving for carbon neutrality. What is a sustainability report? A sustainability report (or ESG report) presents a comprehensive overview of an organization’s performance and initiatives in the environmental, social, and governance domains. It goes beyond traditional financial reporting and typically includes: Greenhouse gas emissions and reduction strategies Natural resource usage (water, energy, materials) Waste management and circular economy practices Diversity, equity, and inclusion in the workplace Supply chain practices and human rights policies Community engagement and philanthropy Business ethics and governance transparency A high-quality ESG report is based on reliable data, follows recognized reporting standards, focuses on material issues for the industry and stakeholders, and presents both successes and challenges. It also includes specific, measurable goals and performance indicators. What are the key challenges in implementing Net Zero Cloud? The three main challenges organizations typically face when implementing Net Zero Cloud are: Data challenges – identifying all emission sources and managing large volumes of data that must be collected and analyzed Knowledge gaps – Net Zero Cloud is a relatively new technology with limited implementation precedents to learn from System integration – transitioning from spreadsheets to a modern platform requires careful planning and often involves complex data integration issues Effective strategies to overcome these challenges include: Partnering with experienced implementation experts Standardizing data collection processes Leveraging advanced analytics and visualization tools to transform complex data into actionable insights
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AI and Copilot in Power BI – How Artificial Intelligence Transforms Data Analysis
The development of artificial intelligence (AI) has significantly transformed how businesses analyse and present data. Microsoft Copilot in Power BI is an advanced AI-powered tool that automates report creation, data interpretation, and anomaly detection, making data analysis more intuitive and accessible for all users—regardless of their technical expertise. 1. What is Microsoft Copilot in Power BI? Microsoft Copilot is an advanced AI assistant that is part of the Microsoft ecosystem and is used in many applications, including Power BI. In the context of Power BI, Copilot acts as a tool supporting users in data analysis, report generation, and interpretation of results without the need to manually create queries or configure visualisations. It allows users to communicate with data in a natural way – by entering questions in English – and then automatically generates appropriate reports and insights. With it, you can build dashboards, analyse trends, and quickly respond to market changes without needing to know DAX or M coding. Microsoft has chosen to integrate Copilot with Power BI in response to the needs of companies aiming to automate and simplify data analysis. The tool is designed to accelerate business processes, reduce human error, and support strategic, data-driven decisions. 2. How to Access Copilot in Power BI? Copilot in Power BI is available to users with a Power BI Premium or Power BI Pro licence and access to Microsoft Fabric. To activate Copilot, your organisation’s administrator must enable it in the Microsoft Fabric settings. Copilot is being rolled out in preview across regions, so some users may not yet have access to it. 2.1 How to Enable Copilot in Power BI? Log in to the Power BI Service as an administrator. Navigate to Admin Settings. Locate the Copilot option under the Microsoft Fabric section. Enable Copilot for the organisation and assign access to users. 3. What are the Features of Copilot in Power BI? Microsoft Copilot in Power BI offers a wide range of functionalities that enhance data analysis, reporting, and business decision-making. Its main advantage lies in the use of artificial intelligence to automate analytical processes, removing the need for manual report preparation or the analysis of complex queries. Copilot integrates with the Power BI interface, allowing users to interact using natural language. Here are the key features that make Copilot a powerful analytical tool: 3.1 Report Generation Using Natural Language Queries Copilot enables users to create reports without needing to manually define data sources, choose visualisations, or configure filters. Simply enter a question, such as “Show me sales by region for the last three months,” and Copilot will automatically generate the relevant report and adjust the data formatting. Users can also edit reports with simple text commands, such as “Add a line chart to the report” or “Change the X-axis to sales dates.” 3.2 Automated Narrative Generation and Insights Interpretation Copilot not only creates visualisations but also provides descriptive summaries of key insights from the analysis. This feature helps users to quickly understand trends and anomalies in the data without having to conduct in-depth analysis. For example, if a report shows a sudden increase in sales in one region, Copilot might generate a comment such as, “Sales in the North region increased by 15% last quarter, mainly due to increased orders from B2B customers.” 3.3 Visualisation Recommendations Copilot assists users in selecting the most suitable method for visualising data by analysing the report’s structure and the nature of the dataset. If a user is unsure how best to present their data, Copilot can suggest various types of charts and tables. For instance, when analysing sales trends, it may recommend a line chart or column chart, while for demographic data, a heat map or pie chart might be more appropriate. 3.4 Trend and Anomaly Detection Copilot applies AI algorithms to identify unusual patterns and deviations in the data. This allows users to automatically pinpoint areas that require attention, such as sudden drops in revenue, rising operational costs, or irregular sales figures. Copilot not only highlights these anomalies but also suggests possible causes and actions to explain or address them. 3.5 Automatic Correlation Analysis Between Data Sets Using AI, Copilot can analyse relationships between different variables within a dataset and identify correlations that may impact business outcomes. For example, Copilot might reveal that an increase in website visits corresponds with a rise in order volume over a specific period. This enables companies to adjust their marketing and sales strategies based on real evidence. 3.6 Predictive Analytics Support Although Copilot is not a full substitute for advanced machine learning tools, it does offer some predictive analytics features. For instance, Copilot can use historical sales data to forecast future buying trends and identify potential risks linked to demand fluctuations. Finance teams can leverage this feature for budgeting and inventory planning. 3.7 Integration with Microsoft Fabric and Other Services Copilot is fully integrated with the Microsoft Fabric ecosystem, enabling it to draw from multiple data sources such as Azure Data Lake, OneLake, and Microsoft Dataverse. This gives users a more comprehensive view of the organisation and allows them to create reports using data from various systems. 3.8 Team Collaboration and Interactive Analytics Sessions Copilot supports teamwork by allowing real-time collaborative editing of reports and sharing of insights. Users can ask questions in an interactive session and dynamically adjust reports to suit the team’s needs. This enhances report creation efficiency and speeds up decision-making. 3.9 Personalised Results and User Preferences Copilot learns from user behaviour, gradually improving the precision of its suggestions and analysis. Users can personalise report generation by defining preferences for formatting, the depth of analysis, and the presentation of data. 3.10 Advanced Query Handling and Data Filtering Copilot allows users to pose more complex questions, including those with advanced filtering criteria. For example, a user could ask, “Show me sales only to customers in the UK technology sector who placed an order in the past six months and whose order value exceeded £10,000.” Copilot will instantly generate a report showing only the relevant data. These features make Copilot in Power BI an indispensable tool for companies seeking to maximise the value of their data and make informed decisions based on solid analysis. Its versatility makes it useful for both data scientists and business managers who need fast access to critical insights. Microsoft Copilot in Power BI offers a wide range of functionalities that make working with data easier: Reporting – Users can type queries in natural language, and Copilot generates visualisations and recommendations. Automatic narrative generation – Copilot analyses data and presents key findings in a narrative format. Identifying trends and anomalies – AI scans data and detects unusual patterns. Visualisation suggestions – Suggests the best ways to present data. Interactive dataset queries – Users can ask questions without having to write DAX code. 4. What are the Limitations of Copilot in the Basic Version? The preview version of Copilot in Power BI has several limitations: Supports English only. Can generate reports for specific data types only. Requires activation by an administrator. Available in selected regions only. Does not support all complex data models. 5. Example Prompts for Copilot in Power BI Users can ask Copilot questions such as: “Create a sales report for the last three months by region.” “Show me a revenue trend chart for this year.” “What were the biggest changes in financial results last quarter?” “Find anomalies in last month’s sales data.” 6. How Much Does Copilot in Power BI Cost? Copilot in Power BI is included in Power BI Premium and Power BI Pro licences. Currently, it is available in a preview version, and pricing details may change as new features are introduced. Microsoft may introduce additional licensing options in the future for more advanced users. 7. Examples of AI and Copilot Applications in Business 7.1 Power BI and Copilot in Marketing Copilot in Power BI enables marketing companies to analyse the performance of advertising campaigns in real time. This allows them to identify which channels are performing best, which customer segments are converting most effectively, and where marketing budgets are being used least efficiently. For example, an e-commerce company can use Copilot to track advertising performance across platforms, automatically generating comparative reports that help optimise budgets. 7.2 Power BI and Copilot in Finance Finance departments can use Copilot to create budget forecasts and analyse cash flows. The tool can automatically detect anomalies in financial data, such as unexpected increases in expenses or irregular cash inflows. In the banking sector, Copilot can support the analysis of credit indicators and generate reports on the financial stability of customers, which speeds up the credit decision-making process. 7.3 Power BI and Copilot in Sales Sales teams can use Copilot to monitor sales performance and optimise sales strategies. The system allows for quick reporting on top- and bottom-selling products, customer purchasing trends, and sales seasonality. This enables sales managers to make more informed decisions about pricing and inventory planning. 8. Power BI Solutions from TTMS At Transition Technologies MS (TTMS), we specialise in delivering comprehensive analytics solutions based on Power BI. Our services include designing, implementing, and optimising reports and dashboards tailored to your organisation’s needs. By working with our experts, y ou can fully leverage AI-powered tools like Microsoft Copilot to enhance business efficiency and make data-driven decisions faster. Find out more at https://ttms.com/uk/power-bi/ Can Copilot in Power BI be used for real-time data analysis? Yes, Copilot can process and analyze near real-time data, provided the dataset is connected to a live data source. However, response times may depend on the complexity of queries and the refresh rate of the data source. Is Copilot in Power BI available on mobile devices? Copilot functionalities are primarily designed for the desktop and web versions of Power BI. While you can view and interact with reports on mobile devices, full Copilot capabilities may not yet be fully supported. Can Copilot generate DAX formulas automatically? Yes, Copilot can assist in generating DAX formulas based on natural language queries. It helps users create complex calculations without deep knowledge of DAX, improving efficiency in report development. How does Copilot ensure data security when processing reports? Copilot adheres to Microsoft’s enterprise security standards, ensuring that all processed data remains within the organization’s security framework. It does not store or share sensitive data outside of the Power BI environment. Can Copilot be customized to specific business needs? While Copilot operates on general AI principles, it adapts to user interactions over time, improving recommendations. Future updates may include more customization options to align with specific business processes and reporting standards. What is Microsoft Fabric? Microsoft Fabric is a comprehensive cloud-based analytics platform designed to integrate, process, and analyze data within a unified environment. It combines various Microsoft data services, such as Azure Data Factory, Power BI, Synapse Analytics, and Data Lake, providing businesses with a flexible and scalable data management solution. Key Features of Microsoft Fabric: Lakehouse Architecture – Enables storing and analyzing large datasets in a Data Lake without the need for data movement. Power BI Integration – Simplifies the creation of interactive reports and analytics based on data stored in Fabric. Built-in AI Capabilities – Supports predictive analytics, automated data processing, and anomaly detection. OneLake – A central data repository that eliminates duplication and provides unified data access. Support for ETL and ELT – Facilitates efficient data processing and transformation for advanced analytics. Security and Compliance – Advanced data protection mechanisms compliant with corporate standards and legal regulations. With Microsoft Fabric, businesses can collect, process, analyze, and visualize data within a single ecosystem, enabling data-driven decision-making and accelerating digital transformation.
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A flexible Time & Material model designed for complex IT projects in large companies
Time & Material (T&M) is a model of cooperation in which billing is based on the actual time worked by specialists and the resources used. Unlike the rigid Fixed Price model, where the scope and cost are defined upfront, T&M ensures flexibility – the scope of work can evolve during the project, and the client pays for the actual tasks performed. This model is gaining popularity among companies undergoing digital transformation, who need quick access to competencies and the ability to adapt to changes. Below, we explain why T&M is the preferred model for digital transformation leaders, in which situations it works best, and provide examples (including the cooperation between TTMS Software Sdn Bhd and ADA). Finally, we invite you to talk about how T&M can support your project. 1. What is the Time & Material model in IT? The Time & Material model means that the client pays for the hours worked and the tools used to complete the IT project. There is no fixed total cost or fully frozen scope – the project is carried out iteratively, and details can be refined during the work. This model is fully compatible with Agile methodologies and the iterative approach to software development. The project team logs work hours, reports progress, and settlements are made periodically (e.g., monthly or per stage). The client gains full transparency – they know exactly what they are paying for and can continuously adjust the direction of the work. In practice, the T&M contract sets the rates (e.g., hourly or daily) for specific roles in the project (developer, tester, analyst, etc.) and general rules of cooperation. But it leaves space for scope changes. If new requirements or changes arise during the project, there is no need to renegotiate the contract – the team simply continues the work, and the client pays for the additional time based on the agreed rates. This significantly shortens the project launch time and reduces the risk of underestimating or omitting important elements. In T&M, both the IT provider and the client act as partners sharing responsibility for the project’s success. 2. Flexibility above all – why leaders choose T&M Today’s business environment is extremely dynamic. Companies that are leaders in digital transformation know that change is the norm in ambitious IT projects – new ideas emerge, user expectations evolve, and technology is constantly developing. Traditional settlement models (e.g. fixed-price projects) often prove too inflexible in such conditions. That’s why leading organisations increasingly choose Time & Material to ensure the ability to respond quickly and keep pace with innovation. The T&M model offers a number of benefits for large enterprises and digital transformation programmes: Quick project start and delivery in stages: No need to wait for a perfectly refined scope – work can start quickly, and solutions are delivered in short iterations. This allows early business value realisation and continuous verification. Flexibility in implementing changes: When new challenges arise or new ideas appear, the team can immediately adjust the scope of work. There is no need to amend the contract for each change – the plan evolves within the agreed framework. Cost transparency: At every stage, it is clear how much time has been worked and what the budget is spent on. The client receives regular reports, knows exactly what they are paying for, and can control the budget throughout the project. Full control and involvement on the client side: The client is actively involved in the project – can prioritise tasks, decide on the order of implementation, and quickly change direction if necessary. Access to needed competencies exactly when they are needed: In the T&M model, the team can be scaled flexibly – increased in size or supplemented with new experts when the project enters a new phase. Higher quality through continuous improvements: As the project is run iteratively, the final product can be of better quality – continuous testing, feedback, and improvements increase value step by step. It is worth noting that the T&M model eliminates the need to pay for “extra” assumptions. In a fixed-price model, providers often add a risk buffer – so the client pays in advance, even for unforeseen difficulties. In T&M, you pay only for the actual work. If some tasks turn out to be unnecessary or simplified, the budget can be shifted to other priorities. 3. When does the T&M model work best? The Time & Material model is not a cure-all – there are situations where it works perfectly and others where a fixed-price model might be better. Below are typical scenarios where T&M works best: Long-term, complex projects – if the initiative is extended over time and consists of many phases, it is obvious that it’s hard to predict all requirements at the start. T&M allows scope adjustment according to current needs. Unclear requirements at the start – when the client has a general vision but not a detailed list of functionalities. This often occurs in innovative projects. T&M allows starting with an MVP and then iterative development. Dynamic business or technology environment – in industries like fintech, e-commerce, or telecoms, change is constant. If user needs evolve quickly, regulations change, or there’s competitive pressure, fixed contracts can slow you down. T&M allows flexibility and speed. Budget control during the project – paradoxically, although T&M doesn’t specify the final amount upfront, it allows strict budget control. You can monitor ROI and decide on funding further stages based on previous outcomes. Outsourcing and need for specific know-how – if you’re using IT outsourcing or staff augmentation, T&M is a natural choice. You can get the expert you need without long hiring processes. Of course, the T&M model requires trust and maturity on both sides – the client must be ready to collaborate and supervise, and the provider must ensure transparency. Experienced partners like TTMS introduce control mechanisms (hour tracking, budget checkpoints, milestones) to protect the project. 4. Example: TTMS and ADA – partnership in T&M model A real example of T&M flexibility is the recent cooperation between TTMS Software Sdn Bhd (TTMS branch in Malaysia) and ADA, a leading digital transformation company in Southeast Asia. ADA specialises in data analytics, AI, and digital marketing, serves over 1,500 clients in 12 markets, and is backed by investors like SoftBank and Axiata Group. The partnership began in the Time & Material model, with TTMS providing a Salesforce Administrator for three months. This form enabled ADA to use TTMS experience exactly when needed and created a foundation for further cooperation. Read more in the press release: TTMS Software Sdn Bhd starts cooperation with ADA 5. Other examples of T&M at TTMS At TTMS, we have been delivering projects in the Time & Material or similar flexible models for years. Most of our case studies are stories of long-term cooperation, iterative system improvement, and a partnership approach – that’s what T&M enables. For example: In the energy sector, we created a scalable application that integrated many systems. In the pharmaceutical sector, we supported an international company in building a CRM system with a growing scope. For Schneider Electric, we are a long-term outsourcing partner – we provide specialists in the T&M model. 6. T&M in Asia – a growing trend We observe growing interest in flexible contracts in Asia. Companies in this region, known for dynamic growth, often point to the T&M model as key to successful transformation. For example: A telecoms operator in Southeast Asia chose T&M for a new digital platform, which allowed them to adapt the roadmap in real time. In e-commerce, a platform was iteratively adapted to user needs through a T&M-based cooperation with an external team. These examples show that flexibility = effectiveness. 7. Choose the right model Time & Material is a proven way to run an IT project when speed, adaptability, and access to talent matter. Leaders choose it because it lets them focus on business goals instead of renegotiating contracts. Properly applied, T&M gives: Freedom of action Transparent costs Quality and results If your company is planning a new system or wants to improve an existing one and needs a flexible and experienced IT partner, T&M may be the right choice. TTMS has been supporting clients in this model for years – providing top experts and teams, building long-term relationships based on trust and shared goals. Let’s talk – we’ll tailor the cooperation model to your project. Contact us. What is the difference between Time & Material and Staff Augmentation? While both offer flexibility, Time & Material refers to billing for work completed over time, often in a project context. Staff Augmentation focuses on providing personnel to extend internal teams. T&M may include team delivery, project milestones, and shared goals—beyond just supplying resources. Is the Time & Material model more expensive than Fixed Price? Not necessarily. Although T&M lacks a fixed upfront budget, it often avoids overpayment by billing only for actual work done. Fixed Price contracts may include large risk buffers, while T&M enables better cost control if well-managed. How do you control scope and costs in a Time & Material project? T&M requires strong project governance—typically involving time tracking, regular reporting, sprint reviews, and clear communication. Clients remain actively involved, adjusting priorities and validating outcomes in real time. Is Time & Material suitable for regulated industries like pharma or finance? Yes. When combined with proper documentation, validation, and quality controls, T&M can meet industry compliance needs. It’s especially useful in complex environments where detailed requirements evolve during the project lifecycle. Can we start with Time & Material and switch to Fixed Price later? Absolutely. Many companies begin with T&M for discovery, MVPs, or early development. Once scope stabilizes, transitioning to a Fixed Price or hybrid model is common—ensuring flexibility early on and predictability later.
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