Bank
Data governance and information architecture
- Challenge
- More than 60,000 tables neither classified nor organised by subject area, with no catalogue accessible to the business and no common modelling criteria.
- Solution
- Classification by subject area with erwin Data Modeler, a catalogue for business and technical users, an architecture review and a methodological framework based on DAMA and Kimball.
- Result
- A governance methodology applicable to every platform, data the business can understand, and modelling defects identified.