The need for a comprehensive understanding of an enterprise’s data assets generally comes after the toothpaste is out of the tube — the application-centric data silos have all been built. The classic result of this is a huge investment in data integration, time spent in sourcing and standardizing data for each application, enormous redundancy in data between systems, and then an ongoing burden of maintenance and impact assessment for even the smallest of schema changes. But what happens when you adopt a data-centric view right from the start? And when that succeeds, how do you roll out the concept across additional business units in the enterprise? Can you, in fact, get the toothpaste back in the tube?
This presentation will describe what happened when a data-centric philosophy was adopted in one business division, and then the experience in leading a transformation by taking that data-centric practice and its patterns from one division and adopting them across an enterprise.