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Data Quality Dimensions: Assuring Your Data Quality with Great Expectations

KDnuggets

This article highlights the significance of ensuring high-quality data and presents six key dimensions for measuring it. These dimensions include Completeness, Consistency, Integrity, Timelessness, Uniqueness, and Validity.

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A Modern Data Strategy for Enterprises – 2nd Edition

The Modern Data Company

A Modern Data Strategy for Enterprises – 2nd Edition Stuck with unusable data? Take a data products approach and create secure, high-quality data packages designed for specific business needs. Imagine data like department-specific apps – easily accessible and relevant.

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The Future of Retail: Key Challenges and Opportunities

The Modern Data Company

Get to the Future Faster – Modernize Your Manufacturing Data Architecture Without Ripping and Replacing Implementing customer lifetime value as a mission-critical KPI has many challenges. Companies need consistent, high-quality data and a straightforward way to measure CLV.

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AI / ML Survival Guide: Conquer DataOps and Data Composability Challenges and Transform into a Truly Data-Driven Organization

The Modern Data Company

Get to the Future Faster – Modernize Your Manufacturing Data Architecture Without Ripping and Replacing Implementing customer lifetime value as a mission-critical KPI has many challenges. Companies need consistent, high-quality data and a straightforward way to measure CLV.

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Metadata: What Is It and Why it Matters

Ascend.io

Leveraging details about data and how it is processed enhances several key aspects of data management: Ensuring Data Quality Metadata ensures data accuracy and consistency by maintaining information about data sources, updates, and validation rules.

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Enterprise Data Quality: 3 Quick Tips from Data Leaders

Monte Carlo

But even though the data landscape is evolving, many enterprise data organizations are still managing data quality the “old” way: with simple data quality monitoring. The basics haven’t changed: high-quality data is still critical to successful business operations.

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How Fox Facilitates Data Trust with Governance and Monte Carlo

Monte Carlo

Table of Contents Solve data silos starting at the people-level Keep data governance approachable Oliver Gomes’ data governance best practices Manage and promote the value of high-quality data How will Generative AI impact data quality at Fox? But visibility isn’t just for the data team.