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Case Studies > Seamless Sap/Bpc Integration Enables AES to Report Days Earlier Than Before

Seamless Sap/Bpc Integration Enables AES to Report Days Earlier Than Before

Technology Category
  • Analytics & Modeling - Predictive Analytics
  • Application Infrastructure & Middleware - Data Exchange & Integration
  • Functional Applications - Enterprise Resource Planning Systems (ERP)
Applicable Industries
  • Electrical Grids
  • Utilities
Applicable Functions
  • Business Operation
  • Quality Assurance
Services
  • Software Design & Engineering Services
  • System Integration
The Challenge
AES, one of the world’s leading electrical power distributors, faced significant challenges in their financial reporting processes. The company was manually creating, collecting, distributing, and consolidating 170 Excel spreadsheets for external reporting purposes. This manual process was exceedingly time-consuming and error-prone. The Finance team had no way of knowing whether submitted spreadsheets contained errors since data from SAP BPC did not automatically integrate with their templates. This lack of integration required the Finance team to manually review thousands of figures for errors and search for changes between spreadsheet versions. Additionally, BPC provided limited visibility into process flow, and sections of the database would become locked and difficult to unlock, further complicating the reporting process.
About The Customer
AES is one of the world’s leading electrical power distributors, known for its extensive network and commitment to providing reliable energy solutions. The company operates on a global scale, serving millions of customers and managing a vast array of electrical infrastructure. AES's operations are critical to the stability and efficiency of electrical grids, making accurate and timely financial reporting essential. The company employs a large workforce and utilizes advanced technologies to maintain and enhance its service delivery. However, despite its technological advancements, AES faced significant challenges in its financial reporting processes, which were largely manual and prone to errors. The need for a more efficient and accurate reporting system led AES to seek a solution that could integrate seamlessly with their existing SAP BPC system.
The Solution
To address these challenges, AES implemented Vena’s central data repository, which seamlessly syncs with SAP BPC. This integration allowed all templates, spreadsheets, models, and formulas to be centrally stored in a secure repository. Vena’s workflow capabilities enabled business users to view an updated task list every time they entered the system, ensuring that tasks were completed according to schedule. Managers were automatically notified via email when a template was ready to be reviewed, streamlining the review process. Additionally, Vena provided a detailed audit trail that date-, time-, and user-stamped every change made to a spreadsheet, enhancing accountability and traceability. This solution not only automated the aggregation and validation of data but also ensured that everyone worked with the same numbers, creating a single version of the truth. As a result, AES was able to produce timely and accurate reports with greater confidence in their accuracy.
Operational Impact
  • The central data repository provided decision-makers throughout the organization with instant access to up-to-date information, enhancing the overall decision-making process.
  • Spreadsheet creation and distribution were significantly streamlined, reducing the possibility of human error and allowing the Finance team to focus on more value-added tasks such as discussion and analysis.
  • The Finance team no longer needed to manually aggregate data, saving time and dramatically reducing the possibility of errors.
Quantitative Benefit
  • Reporting time was reduced by several days, allowing AES to meet deadlines more comfortably.
  • The manual review of thousands of figures was eliminated, saving countless hours of labor.
  • The possibility of human error in spreadsheet creation and distribution was significantly reduced, enhancing overall data accuracy.

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