Background

Our client is one of the largest financial institutions in Belgium with more than 700 branches, +7.000 employees and more than 3.5 million customers in the segments of private individuals, families, youth, self-employed, professionals and entrepreneurs.

Challenge

Our client wanted to facilitate the delivery and discovery of new data sources to accelerate their digital transformation. They wanted to create a robust data lake cluster, built on best practices, to process large amounts of data faster and better. Additionally, they would like to have a supporting architecture in line with the modern data governance and processing strategies.

Approach

Understand and assess the current environment and define best practices to build on. Reconcile the IT standards and security with the design of the big data approach. Iterative implementation and deployment of the cluster to test the defined procedures. Fast industrialization of a relevant business use case. Define and embed governance procedures as part of the platform operations.

Key results

Benefits

Obtain a more precise and accurate model to support operational decision-making. Reduce end-to-end processing time from 24 hours to 20 minutes by means of distributed processing. Provide data scientists a dedicated sandbox environment to experiment and identify potential business gains. Deploy new insights and learnings much faster into the decisioning process to become an agile data driven company.

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