Advanced Analytics and Artificial Intelligence means Data Governance is a critical capability
Leaders feel pressure to deliver meaningful returns from AI initiatives. However, achieving value from AI hinges on having the right data foundation.
Overview
At Data Agility we define data governance as a collection of policies, frameworks, procedures, people and culture that collectively ensure the effective, efficient and reliable use of data to support your organisation achieve its objectives and vision.
This paper sets out how to implement Data Governance by
- Using a Phased Approach
- Not losing sight of the need to develop people capability and
- How to measure success
The companion paper Data Governance Foundations looks at what Data Governance is, why you need a framework and how to develop one, how to structure Data Governance and to how Plan it. The paper is a is available at dataagility.com/insights
In this ebook, we will talk about why data governance is key for AI success and how and why you should address:
- Data quality
- Data privacy and security
- Data access and usage control
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