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The Symbiotic Relationship Between Data Governance and AI

David Menninger's Analyst Perspectives

Data governance has always been a critical part of the data and analytics landscape. However, for many years, it was seen as a preventive function to limit access to data and ensure compliance with security and data privacy requirements. Data governance is integral to an overall data intelligence strategy.

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How ANZ Institutional Division built a federated data platform to enable their domain teams to build data products to support business outcomes

AWS Big Data

Globally, financial institutions have been experiencing similar issues, prompting a widespread reassessment of traditional data management approaches. One major trend, embraced by many financial institutions, has been the adoption of the data mesh architecture and the shift towards treating data as a product.

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The future of data: A 5-pillar approach to modern data management

CIO Business Intelligence

We are now deciphering rules from patterns in data, embedding business knowledge into ML models, and soon, AI agents will leverage this data to make decisions on behalf of companies. Data is now alive like a living organism, flowing through the companys veins in the form of ingestion, curation and product output.

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What Is Data Governance? (And Why Your Organization Needs It)

erwin

Organizations with a solid understanding of data governance (DG) are better equipped to keep pace with the speed of modern business. In this post, the erwin Experts address: What Is Data Governance? Why Is Data Governance Important? What Is Good Data Governance? What Is Data Governance?

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Why Modern Data Challenges Require a New Approach to Governance

A healthy data-driven culture minimizes knowledge debt while maximizing analytics productivity. Agile Data Governance is the process of creating and improving data assets by iteratively capturing knowledge as data producers and consumers work together so that everyone can benefit.

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HEMA accelerates their data governance journey with Amazon DataZone

AWS Big Data

To address these growing data management challenges, AWS customers are using Amazon DataZone , a data management service that makes it fast and effortless to catalog, discover, share, and govern data stored across AWS, on-premises, and third-party sources. Implementing robust data governance is challenging.

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Doing Cloud Migration and Data Governance Right the First Time

erwin

That means your cloud data assets must be available for use by the right people for the right purposes to maximize their security, quality and value. Why You Need Cloud Data Governance. Regulatory compliance is also a major driver of data governance (e.g., GDPR, CCPA, HIPAA, SOX, PIC DSS).