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Good Data Governance Improves Business Processes

David Menninger's Analyst Perspectives

Many organizations invest in data governance out of concern over misuse of data or potential data breaches. These are important considerations and valid aspects of data governance programs. However, good data governance also has positive impacts on organizations.

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The Weak Link in Data Governance? Analytics

David Menninger's Analyst Perspectives

Data governance is a hot topic these days. With increasing regulations such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA), organizations face more external oversight of their data governance practices.

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Where Data Governance Should Live

TDAN

Determining the optimal administrative placement for a data governance program, and specifically a Non-Invasive Data Governance program, is a pivotal decision that can significantly influence its success.

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The Role of IT in Data Governance

TDAN

Information technology (IT) plays a vital role in data governance by implementing and maintaining strategies to manage, protect, and responsibly utilize data. Through advanced technologies and tools, IT ensures that data is securely stored, backed up, and accessible to authorized personnel.

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How to Foster Data Culture (with Data Intelligence Technology!)

Speaker: Aaron Kalb, Co-Founder and CDAO at Alation

Given that, it probably sounds like Silicon Valley-hubris to suggest that technology can create data culture. Throughout history, however, technology has sparked cultural change, and today, data intelligence technology, like data catalog software, is helping enterprises develop data cultures.

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What is data governance? Best practices for managing data assets

CIO Business Intelligence

Data governance definition Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. It encompasses the people, processes, and technologies required to manage and protect data assets.

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3 powerful lessons of using data governance frameworks

CIO Business Intelligence

The first published data governance framework was the work of Gwen Thomas, who founded the Data Governance Institute (DGI) and put her opus online in 2003. They already had a technical plan in place, and I helped them find the right size and structure of an accompanying data governance program.

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How to Foster Data Culture (with Data Intelligence Technology!)

Speaker: Aaron Kalb, Co-Founder and CDAO at Alation

Given that, it probably sounds like Silicon Valley hubris to suggest that technology can create data culture. Throughout history, however, technology has sparked cultural change, and today, data intelligence technology, like data catalog software, is helping enterprises develop data cultures.

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A Practical Guide to Business Intelligence Governance

Speaker: Marius Moscovici, CEO Metric Insights & Mike Smitheman, VP Metric Insights

While the proper governance of data is clearly critical to the success of any business intelligence organization, focusing on data governance alone is a huge mistake. Organizations continually fail to generate ROI on their governance initiatives because they are too narrow in scope.

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LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase

However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs. Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications.