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What Is Data Governance and Why It Matters?

Astera

Data governance refers to the strategic management of data within an organization. It involves developing and enforcing policies, procedures, and standards to ensure data is consistently available, accurate, secure, and compliant throughout its lifecycle.

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How to Build a Data Governance Strategy for Your Organization

Astera

An effective data governance strategy is crucial to manage and oversee data effectively, especially as data becomes more critical and technologies evolve. However, creating a solid strategy requires careful planning and execution, involving several key steps and responsibilities.

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How can we do no harm with data? A conversation with the authors of the Do No Harm Guide

Tableau

Applying a DEI lens to how we analyze, visualize, and communicate data requires empathizing with both the communities whose data we are visualizing as well as the readers and target audiences for our work. Jonathan: The document expanded further than what we initially considered. This is only volume one.

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The 10 Best Airbyte Alternatives In 2024

Astera

It provides many features for data integration and ETL. While Airbyte is a reputable tool, it lacks certain key features, such as built-in transformations and good documentation. Limited documentation: Many third-party reviews mention Airbyte lacks adequate connector-related documentation. Govern their data assets.

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Enterprise Data Management: Strategy, Benefits, Best Practices

Astera

This article covers everything about enterprise data management, including its definition, components, comparison with master data management, benefits, and best practices. What Is Enterprise Data Management (EDM)? Data breaches and regulatory compliance are also growing concerns.

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Hybrid PM/BA Roles: Should these be Separate Functions?

MindsMapped

Using competencies 2 and 9, Business Analysts perform activities include planning Business Analysis approach, planning stakeholder engagement, plan business analysis governance, plan business analysis information management and performance improvements. Requirements Elicitation, Collation, Verification and Validation.

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Data Mesh vs. Data Fabric: How to Choose the Right Data Strategy for Your Organization

Astera

This approach involves delivering accessible, discoverable, high-quality data products to internal and external users. By taking on the role of data product owners, domain-specific teams apply product thinking to create reliable, well-documented, easy-to-use data products. Data governance and security are centralized.