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Data governance policy

Dataconomy

The importance of a data governance policy cannot be overstated in today’s data-driven landscape. As organizations generate more data, the need for clear guidelines on managing that data becomes essential. What is a data governance policy?

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Governing the ML lifecycle at scale, Part 3: Setting up data governance at scale

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This post is part of an ongoing series about governing the machine learning (ML) lifecycle at scale. This post dives deep into how to set up data governance at scale using Amazon DataZone for the data mesh. However, as data volumes and complexity continue to grow, effective data governance becomes a critical challenge.

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Modern Data Governance: Trends for 2025

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Key Takeaways: Prioritize metadata maturity as the foundation for scalable, impactful data governance. Recognize that artificial intelligence is a data governance accelerator and a process that must be governed to monitor ethical considerations and risk.

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Corporate Data Governance: The Cornerstone of Successful Digital Transformation

Dataversity

At the heart of this transformation lies data a critical asset that, when managed effectively, can drive innovation, enhance customer experiences, and open […] The post Corporate Data Governance: The Cornerstone of Successful Digital Transformation appeared first on DATAVERSITY.

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Improving Data Quality Using AI and ML

Dataversity

However, the rapid explosion of data in terms of volume, speed, and diversity has brought about significant challenges in keeping that data reliable and high-quality.

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Difference between modern and traditional data quality - DataScienceCentral.com

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Modern data quality practices leverage advanced technologies, automation, and machine learning to handle diverse data sources, ensure real-time processing, and foster collaboration across stakeholders.

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2025 Planning Insights: Data Governance Adoption Has Risen Dramatically

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Key Takeaways: Interest in data governance is on the rise 71% of organizations report that their organization has a data governance program, compared to 60% in 2023. Data governance is a top data integrity challenge, cited by 54% of organizations second only to data quality (56%).