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4 Best Practices to Jumpstart Your Data Governance Program

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by Angela Guess

According to a recent press release, “Quantzig, a global analytics solutions provider, has announced the completion of their latest article on the four best practices to jumpstart your data governance program. Implementing a successful data governance strategy requires careful planning, the right people, and suitable tools and technologies. Data governance allows organizations to apply control over the management of data assets. Data governance comprises of the process, people, and technology that are required to make the data suitable for its intended purpose. There will be a rise in the demand for a valid and reliable data governance systems with the recent chaos surrounding ‘Facebook data breach.’ Building and implementing an active, holistic data, and analytics strategy is an integral part of a strong data governance program.”

The release goes on, “Listed below are the four best practices to jumpstart your data governance program… (1) Focus on the operating model: The basis for any data governance program is the operating model. It includes activities like defining enterprise roles and responsibilities across the different areas of business. The goal is to create an enterprise-wide governance structure. The structure could be centralized, decentralized, or federated, depending on the type of your organization. (2) Determine data domains: Once the data governance structure is official, the next step is to ascertain the data domains for every line of business. The kinds of domains differ from industry to industry. The most common examples are vendor, customer, and product data domains. The identification of a data domain starts with a business problem or a need.”

Read more at Business Wire.

Photo credit: Quantzig

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