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Data Governance For → Data-driven Organizations

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Data is useful only when it is protected and its context, content, and quality can be trusted. Strong data privacy, data security and data protection parameters allow businesses to adhere to industry regulations and address data privacy requirements. The automated governance capabilities of a data fabric ensure the required level of privacy is enforced as sensitive data is consumed within key endpoints across a distributed data landscape. By combining both data fabric and data security, organizations can ensure that their data remains compliant, secure and their networks are protected. In this guide, we’ll look at the most common governance challenges modern organizations face, the building blocks of an effective solution or approach, and the technology components you’ll need to build an automated, integrated data governance layer across critical data assets that enable your most strategic business outcomes. We’ll also provide helpful resources such as a data governance trial.

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