The propagation of the enterprise’s ability to capitalize on data-driven processes—to effectively reap data’s yield as an organizational asset, much like any other—hinges on data governance, which arguably underpins the foundation of data management itself.
There are numerous trends impacting that foundation, many of which have always had, and will continue to have, relevance as 2019 looms. Questions of regulatory compliance, data lineage, metadata management, and even data governance will all play crucial roles.
Franz’s CEO, Dr. Jans Aasman was quoted:
Still, as Aasman denoted, “It’s extremely complicated to make fair [machine learning] models with all the context around them.” Both rules and human supervision of models can furnish a fair amount of context for them, serving as starting points for their consistent governance.