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Enhancement of Business Analytics and Optimization in Global Company – Case Study

Our client came to us with an existing tool used for managing outsourcing vendor payments based on reported consultant hours and their contract rates. It accumulates vast amounts of data that can be exported, analyzed, and utilized for various internal verifications. Over the years, approximately 40 different reports and exports have been developed to harness this data, making it an example of Business Analytics and Optimization in action.

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Challenge: Business Analytics Optimization

Due to the long lifecycle of the application, these reports and exports were developed in various formats and methods. Some reports, particularly those containing financial data spanning an entire year, were excessively large, ranging from 250 to 500 MB in file size. The challenge for TTMS was to optimize all of this data for easy access, exemplifying the role of Business Analytics and Optimization Services in improving data efficiency for the intelligent enterprise.

Solution: Optimize and Standardize Reports for easy access

To address challenges descrobed in this Business Analytics and Optimization Services Case Study, all reports were optimized and standardized to the xlsx file format. Significant efforts were made to reduce the size of the largest reports, with optimizations bringing them down to around 15 MB. Despite these improvements, generating such reports still required substantial time due to data extraction from the database.

To minimize user inconvenience during report generation, an overnight export feature was implemented. During off-peak hours when user traffic is minimal, the application automatically exports the largest reports and stores them in a secure repository. This allows users to download pre-generated reports instead of waiting for them to be generated during working hours.

Furthermore, the tool’s data accessibility was expanded through synchronization with an external Data Warehouse. This integration facilitated the creation of Tableau reports, providing authorized users with alternative means of accessing and analyzing data. This approach also distributed the development workload across teams responsible for different tools, showcasing a practical example of Business Analytics and Optimization Services for enhancing operational efficiency.

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Results: Improving Data Accessibility

In this Business Analytics and Optimization for the intelligent enterprise Case Study, the initiatives undertaken to optimize data reporting and analysis at the client’s company have yielded substantial benefits across the organization. By standardizing reports to the xlsx format and reducing the size of the largest files, our client has not only improved data accessibility but also streamlined the process of generating and downloading critical reports. The implementation of overnight exports has significantly reduced wait times for users, allowing them to access pre-generated reports promptly, thereby enhancing operational efficiency.

Moreover, the integration of an app with an external Data Warehouse has expanded data utilization capabilities. Tableau reports fed by this Data Warehouse provide visual insights that empower authorized users to perform deeper analyses and derive actionable insights. This approach has not only improved decision-making but also distributed development efforts, optimizing resource allocation across teams responsible for different analytical tools. This initiative exemplifies Business Analytics and Optimization for the intelligent enterprise, helping organizations leverage their data assets effectively.

Conclusion: Business Analytics Optimization as a solution for increasing efficiency

The improvements made in optimizing and standardizing reports, implementing overnight exports, and integrating with a Data Warehouse have significantly enhanced data analysis capabilities at the client’s company. By providing users with efficient access to critical data, our client has streamlined internal processes and empowered teams to make data-driven decisions more effectively. This Business Analytics and Optimization Case Study highlights the importance of data management and accessibility in fostering organizational agility and enhancing decision-making capabilities in a dynamic business environment.

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Monika Radomska

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