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Data Governance: The Oft-Overlooked Pillar of Strong Data Quality

Dataversity

What are the most common causes of Data Quality issues? The conventional answer to that question includes problems like inaccurate data, duplicate data, or data containing missing values.

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Why Data Quality and Data Governance are Important to Achieve Compliance

Analysts Corner

In this article, we present a brief overview of compliance and regulations, discuss the cost of non-compliance and some related statistics, and the role data quality and data governance play in achieving compliance. The average cost of a data breach among organizations surveyed reached $4.24

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The Data Governance Wake-Up Call From the OpenAI Breach

Dataversity

National security aside, the […] The post The Data Governance Wake-Up Call From the OpenAI Breach appeared first on DATAVERSITY. The breach, which involved an outsider gaining access to internal messaging systems, left many worried that a national adversary could do the same and potentially weaponize generative AI technologies.

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Being Data-Driven Means Embracing Data Quality and Consistency Through Data Governance

Dataversity

The post Being Data-Driven Means Embracing Data Quality and Consistency Through Data Governance appeared first on DATAVERSITY. They want to improve their decision making, shifting the process to be more quantitative and less based on gut and experience.

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The Cool Kids Corner: Non-Invasive Data Governance

Dataversity

This is my monthly check-in to share with you the people and ideas I encounter as a data evangelist with DATAVERSITY. This month we’re talking about Non-Invasive Data Governance (NIDG).

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New Tools, New Tech, Same Roadblocks: Data Governance in the Age of AI

Dataversity

Despite advancements in tools like ChatGPT and Google’s Gemini, fundamental issues with data governance – such as high costs, poor data quality, and security concerns – continue to hinder progress.

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Good Data Quality Is the Secret to Successful GenAI Implementation

Dataversity

So why are many technology leaders attempting to adopt GenAI technologies before ensuring their data quality can be trusted? Reliable and consistent data is the bedrock of a successful AI strategy.