Datawerhouse « ANNABEL 2.0 »

To meet the pressing demand, our goal is to establish a resilient Business Intelligence (BI) framework, adhering to industry best practices and quality standards. This initiative aims to strengthen our client's competitive advantage by transitioning to a data-centric business model, thereby improving its ability to analyze and predict customer behavior and market dynamics effectively. To achieve this, we adopt a proactive approach involving active participation and the facilitation of functional and technical workshops to meticulously plan the development phase.

Additionally, we provide hands-on support in creating Extract, Transform, Load (ETL) processes to smoothly populate the different layers of the data warehouse. Our methodology includes carefully crafting cookbooks and testing strategies across different development environments to ensure robustness and reliability. It is crucial for us to carefully monitor data consistency and traceability between source systems and the target data warehouse.

En outre, nous menons la conception et la mise en place des premiers datamarts métier pour initier des insights actionnables. Grâce à ces interventions stratégiques, nous visons à doter notre client d’une architecture BI évolutive et agile, favorisant ainsi une croissance soutenue et une compétitivité durable dans le paysage du marché.