Caisse d’Epargne Normandie (CEN) is the Normandy division of Groupe BPCE, the second largest banking group in France. The bank has been present for 200 years in the region, with a network composed of 212 branches serving 1.1 million customers across Normandy.
Business intelligence, recommendation engine, anti-money laundering score, optical character recognition
Caisse d’Epargne Normandie wanted to inject data into its business operations but faced challenges:
Several identified needs
Monitoring branch performance, automatically extracting information from documents submitted by customers, recommending the most relevant insurance products or automatically scoring suspicious cases in the fight against money laundering. Data was already being collected and stored from various systems but a solution to centralize efforts was required.
No ressources for own platform
CEN didn’t want to spend time and resources on building and maintaining a data platform on its own: they needed to get projects running straight away without the complexity linked to home-grown solutions.
Need for quick results
Starting initiatives quickly was critical, and even more so was the ability to show results to stakeholders in a matter of weeks. Speed would help bring confidence in the company’s ability to deliver on its ambitious data strategy.
Saagie fournit sa plateforme DataOps à la Caisse d’Epargne Normandie pour pousser ses initiatives jusqu’en production.
Single collaborative workspace
This enables data teams to develop different projects at the same time, with a powerful traceability layer on top. Their work is then put into production thanks to robust data pipelines supporting big data volumes (several billions of rows).
The orchestration of well-known open-source technologies: the use of Sqoop, Talend, and Python enabled data teams to get to work immediately without having to learn new languages. Frameworks are updated with the latest versions and libraries, removing maintenance costs.
A ready-to-use solution plugged directly into CEN’s existing IT infrastructure: this saved weeks in architecture meetings and setup and allowed a time-to-value for the initial Proof of Concept (POC) of only three months. Once this production-ready environment was in place, developing new use cases was greatly accelerated.