Ideal Banking Data Warehousing Project: 10 Steps For Setting The Right Pace

Data Warehousing in a banking context is meant to consolidate disparate data across siloed systems and churn decision enabling information from the consolidated data. Although a Data Warehouse can address data consolidation issues, it cannot be a magic wand for all data related problems. It takes conscious effort from all stakeholders to effectively shape and steer the project. Let’s take a quick look at the steps (which can be taken even before the implementation of the Data Model) for