December, 2024

Remove data-quality-data-architecture
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Technical and Strategic Best Practices for Building Robust Data Platforms

Dataversity

In the AI era, organizations are eager to harness innovation and create value through high-quality, relevant data. Gartner, however, projects that 80% of data governance initiatives will fail by 2027. This statistic underscores the urgent need for robust data platforms and governance frameworks.

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Data Strategy Pitfalls

Passionate BA

Workshop facilitation is not an easy trick, folks Hello, folks Another treat to share – a new episode of the Passionate Business Analyst podcast with Jan Meskens, Data & AI strategy consultant. A data-driven culture fosters trust and collaboration around data usage.

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The 8 Best Hevo Data Alternatives to Build ELT/ETL Data Pipelines in 2025

Astera

What is one thing all artificial intelligence (AI), business intelligence (BI), analytics, and data science initiatives have in common? They all need data pipelines for a seamless flow of high-quality data. Hevo Data is one such tool that helps organizations build data pipelines.

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What to Expect in AI Data Governance: 2025 Predictions

Dataversity

Ransomware in particular continues to vex enterprises, and unstructured data is a vast, largely unprotected asset.

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Focusing on Data Privacy: Building Trust and Strengthening Security

Dataversity

In todays digital age, managing and minimizing data collection is essential for maintaining business security. Prioritizing data privacy helps organizations ensure they only gather necessary information, reducing the risk of data breaches and misuse.

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Navigating the Complex Landscape of Data Sovereignty

Dataversity

In todays rapidly evolving global landscape, data sovereignty has emerged as a critical challenge for enterprises. Businesses must adapt to an increasingly complex web of requirements as countries around the world tighten data regulations in an effort to ensure compliance and protect against cyberattacks.

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Building a Strong Data Retention Framework for Retail Operations

Dataversity

In todays data-driven world, organizations manage vast amounts of data. As enterprises expand and grow business functions, theres corresponding linear growth in operational data. This encompasses both master data and transactional data.

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