The Data Management Debate: Analytics vs. Risk and Compliance

“In 2018, data risk and compliance takes second place to analytics in importance.”

                                                                                                            —Gartner, March 2018

Data compliance and analytics are not mutually exclusive. But with advancements in AI and analytics technology, we’re seeing companies sacrifice compliance to enable autonomous access to data to enable algorithmic-driven initiatives. This is troubling on many levels, and as we approach the May 25th GDPR deadline, it’s going to cost organizations.

This is why—as a recent Gartner report suggests—data management is at a crossroads, caught between supporting analytics, and data governance and compliance. Modern enterprises are struggling to evolve and implement data practices that serve both needs. In fact, “More than 50% of organizations have a reactive approach to data management forcing them to constantly be in catch-up mode to meet new demands.”

With excessive data supplies and increased importance on governance, risk and compliance, identifying value-delivering data and auditing data management practices have become the greatest barriers faced by modern organizations.

What good is analytics if the data you’re using is inaccurate, or its use puts you at risk of regulatory fines? Yet, in spite of the monetary and reputational dangers accompanying non-compliance with pending regulation, survey respondents in the Gartner study make it clear that enhancing analytics leads data management priorities.

Organizations need technology that serves both sides of the equation – faster, more actionable access to data for algorithmic-driven initiatives, and enhanced compliance capabilities with forthcoming regulations.

This is exactly why Immuta was created. As we mention above, data access and analytics cannot and should NOT come at the expense of compliance. Immuta is the only enterprise data management platform that provides rapid, personalized access to data across organizational silos to accelerate and simplify every aspect of the analysis workflow—all while preventing organizations from losing control or insight into how their data is being processed. Through the Immuta platform, companies can apply dynamic policies such as masking, anonymization, generalization and purpose-based restrictions, to comply with regulations such as HIPAA, GDPR, and more.

To learn more about Immuta’s latest data management for data science capabilities, check out our recent blog on Immuta 2.1, and also download our sample GDPR memo to read up on how Immuta can help your organization comply with this new age of data regulation.