[{"innerBlocks":[],"name":"core\/freeform","postId":1223,"blockType":{"name":"core\/freeform","keywords":[],"attributes":{"content":{"type":"string","source":"raw"},"lock":{"type":"object"}},"providesContext":[],"usesContext":[],"selectors":[],"supports":{"className":false,"customClassName":false,"reusable":false},"styles":[],"variations":[],"apiVersion":3,"title":"Classic","description":"Use the classic WordPress editor.","category":"text"},"originalContent":"The focus on data governance has escalated in the last 18 months, in part because of the emergence of new regulations such as the General Data Protection Regulation.

\u201cOrganizations have finally realized the value that is contained within their data assets,\u201d says Stewart Bond, research director, data integration and data integrity software, at International Data.

Good governance practices can help organizations protect their data, Bond said. One is to avoid associating data governance with \"no,\" rather than \"yes,\" he says.

\u201cTo be enabled by data, the right data needs to be trustworthy, timely and delivered to the right resources at the best time,\u201d Bond notes. \u201cData enablement still requires governance to infuse trust, timeliness, and availability and provide protection. But not at a level that stifles innovation.\u201d

governance focus.jpg<\/bsp-image>Organizations that approach data governance with a technology-only approach will fail, Bond said.

\u201cData enablement and data governance are organizational problems that require an organizational solution, aligned with corporate strategies and implemented through vision, strategy, people, processes, policies, architecture and technology,\u201d he adds.

Another good practice is to not get too academic.

\u201cTheories and methodologies are important, but practicality also needs to be understood,\u201d Bond said. \u201cFind a balance between the two extremes to focus on what is relevant.\u201d

Also, establish metrics to measure improvements.

\u201cThe number of data assets available through the program, the number of users utilizing the assets, the quality of data curated within the program are basic metrics that can be tracked,\u201d Bond says. \u201cMeasuring how long it takes for employees to find, prepare, and analyze data is another metric that will show improvement as data enablement takes hold. What isn't measured cannot be improved.\u201d","saveContent":"The focus on data governance has escalated in the last 18 months, in part because of the emergence of new regulations such as the General Data Protection Regulation.

\u201cOrganizations have finally realized the value that is contained within their data assets,\u201d says Stewart Bond, research director, data integration and data integrity software, at International Data.

Good governance practices can help organizations protect their data, Bond said. One is to avoid associating data governance with \"no,\" rather than \"yes,\" he says.

\u201cTo be enabled by data, the right data needs to be trustworthy, timely and delivered to the right resources at the best time,\u201d Bond notes. \u201cData enablement still requires governance to infuse trust, timeliness, and availability and provide protection. But not at a level that stifles innovation.\u201d

Why data governance should not be a tech-only approach

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