ANNABEL 2.0 Data warehouse
Creation of a robust Business Intelligence (BI) framework to generate actionable insights through workshops, ETL support, and business datamarts.
The project’s goal was to establish a resilient BI architecture aligned with industry best practices and quality standards.
This initiative enhances the client’s competitive advantage by transitioning to a data-centric business model, improving its ability to analyze and forecast customer behavior and market dynamics effectively.
Our proactive approach included:
- conducting detailed functional and technical workshops to plan the development phase
- providing hands-on support for ETL (Extract, Transform, Load) process creation
- designing test strategies and documentation across multiple development environments to ensure reliability and data consistency
- monitoring data coherence and traceability between source systems and the target data warehouse
We also led the design and implementation of initial business datamarts to deliver actionable insights.
Through these strategic interventions, Wimbee equipped the client with a scalable and agile BI architecture, driving sustainable growth and long-term competitiveness.
