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Guide to Digital Transformation: Data-first Architecture

Dataversity

The goal of digital transformation remains the same as ever – to become more data-driven. We have learned how to gain a competitive advantage by capturing business events in data. Events are data snap-shots of complex activity sourced from the web, customer systems, ERP transactions, social media, […].

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Data Governance at the Edge of the Cloud

Dataversity

Online security has always been an area of concern; however, with recent global events, the world we now live in has become increasingly cloud-centric. We are living in turbulent times.

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Enterprise Data World 2024 Takeaways: Trending Topics in Data Management

Dataversity

I was privileged to deliver a workshop at Enterprise Data World 2024. Publishing this review is a way to express my gratitude to the fantastic team at DATAVERSITY and Tony Shaw personally for organizing this prestigious live event.

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Data Integrity, the Basis for Reliable Insights

Sisense

Uncomfortable truth incoming: Most people in your organization don’t think about the quality of their data from intake to production of insights. However, as a data team member, you know how important data integrity (and a whole host of other aspects of data management) is.

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How to: Focus on three areas for a holistic data governance approach for self-service analytics

Tableau

Data privacy policy: We all have sensitive data—we need policy and guidelines if and when users access and share sensitive data. Data quality: Gone are the days of “data is data, and we just need more.” Now, data quality matters. Data modeling. Data migration .

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How to: Focus on three areas for a holistic data governance approach for self-service analytics

Tableau

Data privacy policy: We all have sensitive data—we need policy and guidelines if and when users access and share sensitive data. Data quality: Gone are the days of “data is data, and we just need more.” Now, data quality matters. Data modeling. Data migration .

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The Best Data Pipeline Tools List for 2023 

Astera

As the volume and complexity of data continue to rise, effective management and processing become essential. The best data pipeline tools offer the necessary infrastructure to automate data workflows, ensuring impeccable data quality, reliability, and timely availability.