What does organizational maturity mean in the context of good data management practices? From a holistic standpoint, the differences in organizational maturity for data quality are gauged by the sophistication of the processes in place for managing the identification of flawed data as well as the levels of capability of those tasked with managing data quality. Most organizations are reactive when it comes to resolving issues, meaning that problems are addressed at the time that the impacts have manifested themselves, but long after the failure has occurred. But as the practitioners in the organization gain a more thorough understanding of the methods for identifying the sources for data flaws, they become more proactive in identifying and resolving potential issues before negative business impacts occur.
[MK] Dave
