Remove data-requirements
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Data Governance Without Security Leaves Sensitive Data Exposed

Dataversity

Data Governance” is such an interesting term. As data started becoming more critical to business in the last few years, this idea was introduced to define the business processes necessary to comply with regulatory requirements.

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The Evidence Act Brings Opportunity for Data Governance

The Data Administration Newsletter

Five years ago, the most comprehensive data governance law was passed in the U.S. The Evidence Act requires U.S. Government federal agencies to designate a nonpolitical appointee as Chief Data Officer (CDO) to […]

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Familiarize Yourself with the Legality of Data Accumulation Under New Data Governance Rules

Smart Data Collective

Data is absolutely vital to your occupation as a business owner. In fact, a study found that 79% of Americans are concerned about how their data is being used by companies, which is not good for building trust. This is why the national and federal governments have created laws to protect customer data. Privacy Policy.

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Metadata Governance: An Outline for Success (Part Two)

The Data Administration Newsletter

In part one of “Metadata Governance: An Outline for Success,” I discussed the steps required to implement a successful data governance environment, what data to gather to populate the environment, and how to gather the data.

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A Practical Guide to Business Intelligence Governance

Speaker: Marius Moscovici, CEO Metric Insights & Mike Smitheman, VP Metric Insights

While the proper governance of data is clearly critical to the success of any business intelligence organization, focusing on data governance alone is a huge mistake. Organizations continually fail to generate ROI on their governance initiatives because they are too narrow in scope.

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Data Access Governance Requirements for Data Science

The Data Administration Newsletter

Data is the raw material for any type of analytics – whether it is related to historical analysis presented in reports and dashboards by business analysts, or predictive analysis that involves building a model by data scientists that anticipates an event or behavior that has not yet occurred.

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Data Literacy: A New Requirement for Consumers and Businesses

Dataversity

Did you know that only one-third of us can confidently understand, analyze, and argue with data? That’s the essential question posited by the Data Literacy Project, an organization that wants to “ignite discussion and develop the tools we need to shape a successful, data-literate society.”