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 segments across individuals, families, self-employed, professionals, and entrepreneurs.
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 more effectively. Additionally, they wanted a supporting architecture in line with the modern data governance and processing strategies.
- 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 development of a relevant business use case. - Define and embed governance procedures as part of the platform operations.
The organization now has a more precise and accurate model to support operational decision-making. They were able to reduce end-to-end processing time from 24 hours to 20 minutes by means of distributed processing. Data scientists have a dedicated sandbox environment to experiment and identify potential business gains, and they can deploy new insights and learnings much faster, accelerating their path to becoming a data-driven company.
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