May 2018


Data governance has taken on a new urgency in the digital economy for two reasons: 1) Increasingly, business decisions are influenced or made outright by automated systems driven by analytics, algorithms, and artificial intelligence that require trustworthy, high-quality data for good results; 2) Regulatory scrutiny of data integrity and access controls is now more frequently required to meet security, privacy, and ethics requirements.

It’s been said that all businesses are technology companies in the age of digital transformation. It’s also true that many are becoming information businesses as the amount and value of data they produce and consume continues to increase. In fact, business leaders and CIOs will find themselves not only missing opportunities but also at a competitive disadvantage if they don’t leverage data assets before markets are crowded with competitors.

Data management is a major concern for enterprise organizations, and for good reason. IDC forecasts that by 2025, the global datasphere will grow to 163 zetabytes (ZB). Access to all this data will unlock unique user experiences and a new world of business opportunities for organizations. Data is becoming increasingly diverse, dynamic, and distributed across on-/off-premises, including public cloud. Hybrid cloud environments combine these platforms to increase the benefits of data collection and use, but they come with their own set of challenges. These hurdles prevent organizations from efficiently managing and deriving maximum value from all their data.