data management big data

6 years, 9 months ago

Consolidations in Data Governance Tooling Are Emphasizing DG importance for future Data Usages

While data governance has been a business need for years, it is becoming more visible as a center stage business concern. Driving this shift are new regulations and new requirements addressing consumer data ownership, privacy and business interest data monetization. Two of the most important regulations are GDPR (European General Data Protection Regulation), and BCBS 239 (Basel Committee on Banking Supervision regulation 239). Forrester recognized this change three years ago when described the evolution of data governance from ‘data input quality’ to ‘data usage’ – which we call Data Governance 2.0. Some emerging data governance solution vendors, like Collibra and GDE, moved aggressively to address the new requirements of data governance 2.0. But the larger established vendors – IBM, Informatica, SAS or SAP, were moving more slowly as they prioritized investments in developing a platform supporting Systems of Insight.

Two just announced acquisitions demonstrate that larger established vendors now recognize the need for renewed data governance offerings:

· Informatica purchase of Diaku Axon platform. The acquisition announced on the 22^nd February of the Diaku Axon platform adds to Informatica’s current Data Governance execution capabilities (DQ, MDM, security/masking) more business oriented capabilities like vertical knowledge (finance,) and support of regulations such as GDPR and BCBS239.

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8 years, 2 months ago

Are Data Preparation Tools Changing Data Governance?

by Michele Goetz

First there was Hadoop. Then there were data scientists. Then came Agile BI on big data. Drum roll, please . . . bum, bum, bum, bum . . .

Now we have data preparation!

If you are as passionate about data quality and governance and I am, then the 5+-year wait for a scalable capability to take on data trust is amazingly validating. The era for “good enough” when it comes to big data is giving way to an understanding that the way analysts have gotten away with “good enough” was through a significant amount of manual data wrangling. As an analyst, it must have felt like your parents saying you can’t see your friends and play outside until you cleaned your room (and if it’s anything like my kids’ rooms, that’s a tall order).

There is no denying that analysts are the first to benefit from data preparation tools such as Altyrex, Paxata, and Trifacta. It’s a matter of time to value for insight. What is still unrecognized in the broader data management and governance strategy is that these early forays are laying the foundation for data citizenry and the cultural shift toward a truly data-driven organization.

Today’s data reality is that consumers of data are like any other consumers; they want to shop for what they need. This data consumer journey begins by looking in their own spreadsheets, databases, and warehouses. When they can’t find what they want there, data consumers turn to external sources such as partners, third parties, and the Web. Their tool to define the value of data, and ultimately if they will procure it and possibly pay for it, is what data preparation tools help with. The other outcome of this data-shopping experience is that they are taking on the risk and accountability for the value of the data as it is introduced into analysis, decision-making, and automation.