Go, Set, Ready, Repeat: Lessons Learned for Successful Data Integration
If one doesn't have time to do it right, does one have time to do it again? We've all heard the maxim, yet too many data-related projects continue to build independent silos without common standards or reuse. And again and again, organizations are faced with integration challenges that cost time, money, and wasted effort. The key issues are that over time, there is degeneration in establishing data modeling standards and agreement regarding common business data definitions. This has led to repeated failed attempts to integrate data for enterprise objectives, resulting from the pattern of "Dumping" data sets into a single repository prior to understanding their contents.