Client Needs & Objectives
As part of the implementation of a data lake for a Financial Crime department, our client needed assistance to design the framework and monitor progress of the implementation
We faced multiple challenges:
- Poor knowledge of data in the bank
- Few subject matter/data experts
- Lack of common repository of conformed data
Our approach
- Align business and operations and define the business-benefit priority list
- Build the business case and validate investment
- Identify data needs and cartography the different data sources
- Perform data quality tests
- Design the Target Operating Model (mandates, process, controls to set up, recruitment needed etc.)
- Monitor progress of the implementation:
- Build a Hadoop data lake from all transactional / customer sources in the bank
- Automate the discovery of the meaning / relationships in the data
- Build conformed query datasets
