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Data Governance Framework: What is it? Importance, Pillars and Best Practices

Astera

What is a Data Governance Framework? A data governance framework is a structured way of managing and controlling the use of data in an organization. It helps establish policies, assign roles and responsibilities, and maintain data quality and security in compliance with relevant regulatory standards.

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Succeed As a Business Analyst

Analysts Corner

The future state of business processes requires new ways of working that result in a great deal of change, and it is important to understand what change means to different groups of stakeholders, so as to design and implement an effective change management plan to help teams to get used to the new ways of working.

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From Data to Decisions: The Rise of Generative AI in Financial Strategy

Cprime

What are the risk management and compliance considerations for GenAI in finance? How can financial institutions drive AI adoption and manage change? Data governance and ethical considerations As data usage intensifies, so does the need for stringent data governance and ethical considerations.

Finance 79
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Your Blueprint for governed analytics at scale

Tableau

This is the final post in a three-part series about data and analytics governance. In case you missed them, read the first to hear from Tableau’s own data governance team , and the second to learn how good governance accelerates your Data Culture. November 2, 2021.

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Your Blueprint for governed analytics at scale

Tableau

This is the final post in a three-part series about data and analytics governance. In case you missed them, read the first to hear from Tableau’s own data governance team , and the second to learn how good governance accelerates your Data Culture. November 2, 2021.

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MAD for product data management: What IT leaders should know

Ntara

It’s a single reference point that helps eliminate duplicated effort. Because when you work in silos, you lack visibility into what data already exists. The MAD gives a single point of reference to align all the teams together using their unique naming (alongside the other systems’ names) to truly bring the staff and systems together.

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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

Data Pine

Reporting being part of an effective DQM, we will also go through some data quality metrics examples you can use to assess your efforts in the matter. But first, let’s define what data quality actually is. What is the definition of data quality? Why Do You Need Data Quality Management?