Datanami’s #4 Big Data Trend of 2019: Data Governance Builds Steam
Tom Hoblitzell | | November 26, 2019
In this continuation of our analysis of the Top 10 Big Data Trends to Watch in 2019, as projected by Datanami, we’ll take a look at Trend #4: Data Governance Builds Steam.
Thousands of companies operating in the European Union received a crash course in data governance last year with the arrival of the General Data Protection Regulation (GDPR) in May 2018. The GDPR is an EU regulation intended to give people greater protection and privacy for their personal information.
The GDPR is just the most recent development in a big data landscape where data governance is increasingly important. Broadly defined, data governance is the collection of policies and processes in place to manage an organization’s data assets. This includes concerns about data availability, reliability, quality, integration, security, privacy, and compliance.
By understanding what data you have, where it’s stored, and how it’s used, data governance makes your business more efficient, more productive, more intelligent, and more compliant with the applicable laws and regulations.
With these benefits on the line, it’s understandable that more than half of organizations cite data governance as their most important cloud data management challenge. Still, the GDPR rollout showed just how many companies were scrambling to implement data governance or face steep fines under the new regulation.
It’s imperative that your business doesn’t suffer the same fate. Our white paper “Data Governance: A Valuable Part of Business Information Success” discusses how you can get your company on the right track with data governance.
For more detail on this and the other 9 data trends of 2019, Download “Top 10 Big Data Trends of 2019.”
Subscribe to Our Blog
Never miss a post! Stay up to date with the latest database, application and analytics tips and news. Delivered in a handy bi-weekly update straight to your inbox. You can unsubscribe at any time.
Ultimately the goal of commentary in OBIEE is to have a system for persisting feedback, creating a call to action, and recognizing the prolific users.