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The Rise of Chief Data Officers and the Fall of Database Administrators

Dataversity

The post The Rise of Chief Data Officers and the Fall of Database Administrators appeared first on DATAVERSITY. This added growth also brings added complexity, resulting in increased difficulty for database professionals to monitor application performance and mitigate issues as […].

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Dark Data: How to Find It and What to Do with It

Timo Elliott

If you’re trying to become a data-driven organization, it makes sense to hire someone whose job it is to care about data – like a chief data officer. Without such a role, your dark data may be much more likely to stay dark. The point of finding your dark data is to generate insight from it.

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Data Speaks for Itself: What Could Possibly Go Wrong?

The Data Administration Newsletter

I had a great experience attending the MIT Chief Data Officer and Information Quality Symposium in Cambridge this July. It was truly enlightening to hear from so many experienced data leaders. This year, there were 2,855 registered attendees from 63 countries, including 1,218 Chief Data Officers.

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Data Quality Framework: What It Is and How to Implement It

Astera

What is a data quality framework? A data quality framework is a set of guidelines that enable you to measure, improve, and maintain the quality of data in your organization. It’s not a magic bullet—data quality is an ongoing process, and the framework is what provides it a structure.

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Increasing the Business Impact of Data Management Using Force-Field Analysis

Dataversity

This article introduces Force-Field Analysis (FFA) [1], a tool that one of us (Tom) has used for many years to help understand and summarize the impacts of multiple factors in the data space. The post Increasing the Business Impact of Data Management Using Force-Field Analysis appeared first on DATAVERSITY.

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Deriving Business Value Through Data Governance

Dataversity

Growing companies often find themselves floating on an “ocean” of underutilized or misused datadata that doesn’t reach the people who would most benefit from it or reaches them at the wrong time. Preventing these issues is one of the primary objectives of Data Governance.

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Data Governance, Data Leadership or Data Architecture: What Matters Most?

Dataversity

Robert Seiner and Anthony Algmin faced off – in a virtual sense – at the DATAVERSITY® Enterprise Data World Conference to determine which is more important: Data Governance, Data Leadership, or Data Architecture.