“Reactive! Proactive? Predictive”
Data quality (DQ) problems can’t be put on hold, especially when business teams struggle to do their tasks due to data issues.
This means the first requirement for mitigating a DQ-related issue is always urgent, and the quickest solution is to react by offering on-demand data management services.
As data office teams become more experienced and as data challenges and business needs become clearer, there comes a point where a proactive approach to DQ becomes necessary. However, it remains important to continue addressing reactive tasks.
Moreover, as proactive and reactive capabilities are used over time, they lead to the development of predictive recommendations for data problems and solutions. Ideally, this is handled behind the scenes by businesses, so they don’t even have to deal with DQ issues themselves. These problems are then automatically identified and resolved without causing disruption.
The key questions...
