6 best practices on data governance for big data environments

In many organizations, data governance used to be relatively straightforward. The business data being governed was mainly generated internally in transaction processing systems and ensconced behind the firewall. Data analysis and reporting applications enabled by the governance program were the province of a select group of IT and BI professionals, who typically used slow-changing processes to analyze data and planned projects well in advance.

As a result, data governance efforts were often treated as a behind-the-scenes IT process. “Governance was considered synonymous with a bureaucracy tax within traditional data environments to manage risk and drive multiyear data and analytics initiatives,” said Yasmeen Ahmad, vice president of global business analytics at data platform vendor Teradata.

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