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Data Governance: Concept, Models, Framework, Tools, and Implementation Best Practices

AltexSoft

As the amount of enterprise data continues to surge, businesses are increasingly recognizing the importance of data governance — the framework for managing an organization’s data assets for accuracy, consistency, security, and effective use. Projections show that the data governance market will expand from $1.81

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How Can You Boost Retail Loyalty with Customer Data? DataOS Has the Answer

The Modern Data Company

Strong data governance is essential Risks and challenges associated with using customer data–such as concerns around privacy and security–can derail insights. It enables users to define clear policies for data usage and authorized access and to meet regulatory compliance requirements such as GDPR.

Retail 52
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How Can You Boost Retail Loyalty with Customer Data? DataOS Has the Answer

The Modern Data Company

Strong data governance is essential Risks and challenges associated with using customer data–such as concerns around privacy and security–can derail insights. It enables users to define clear policies for data usage and authorized access and to meet regulatory compliance requirements such as GDPR.

Retail 52
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How Can You Boost Retail Loyalty with Customer Data? DataOS Has the Answer

The Modern Data Company

Strong data governance is essential Risks and challenges associated with using customer data–such as concerns around privacy and security–can derail insights. It enables users to define clear policies for data usage and authorized access and to meet regulatory compliance requirements such as GDPR.

Retail 52
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The Just-In-Time Revolution for Data-Driven Enterprises

The Modern Data Company

For today’s Chief Data Officers (CDOs) and data teams, the struggle is real. We’re drowning in data yet thirsting for actionable insights. We need a new approach, a paradigm shift that delivers data with the agility and efficiency of a speedboat – enter Data Products.

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A Primer On Enterprise Data Curation with Todd Walter - Episode 49

Data Engineering Podcast

Summary As your data needs scale across an organization the need for a carefully considered approach to collection, storage, organization, and access becomes increasingly critical. Request a demo at dataengineeringpodcast.com/metis-machine to learn more about how Metis Machine is operationalizing data science.

Data Lake 100
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Enabling Data Mesh Principles for Organizational Agility

Snowflake

Data-as-a-product: By considering data resources through a product lens, teams can adopt practices centered around quality and ease of use. Self-service data platforms: Consistent domain-agnostic access and security measures create a structure that is both clearly defined and repeatable across platforms/domains.