Part 6/18:
The Pitfalls of Data as an Afterthought
A recurring theme is that many organizations treat data as an afterthought in designing business processes. For example, when building a new feature, teams often realize later that they need additional metrics to evaluate success, necessitating retroactive instrumentation. This disconnect can impede holistic understanding and slow down decision cycles.
Additionally, implementing business logic at the data's gold layer often leads to duplication of logic—a practice that's considered an anti-pattern. Instead, there's a call to embed business rules closer to the source, avoiding redundant definitions and maintaining data integrity.