The Data Administration Newsletter

JANUARY 18, 2022

The role of a Chief Data Officer (CDO) is relatively new and hence, laden with many new challenges. But knowing these issues beforehand can help you be equipped to solve them.

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Chief Data Officer Data Quality Data Governance Government 52

Astera

APRIL 3, 2024

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.

Data Quality 52

Data Quality Data Governance Government Monitoring 52

Dataversity

FEBRUARY 15, 2021

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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The Data Administration Newsletter

AUGUST 16, 2022

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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The Data Administration Newsletter

AUGUST 15, 2023

Yes, let’s talk about data governance, that thing we love to hate. I just attended the 17th Annual Chief Data Officer and Information Quality Symposium in July, and there, I heard many creative suggestions for renaming data governance.

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Sisense

MARCH 19, 2021

Twenty years ago, no one had heard of a chief data officer. The rise in prominence of data executives goes hand in hand with the rise of the importance of data in the modern business world: Every company must become truly data-driven, and data executives play an outsized role in making that happen.

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Chief Data Officer Vision Data Quality Data Security 52

Sisense

SEPTEMBER 3, 2020

Programming and statistics are two fundamental technical skills for data analysts, as well as data wrangling and data visualization. Data analysts in one organization might be called data scientists or statisticians in another. Combining datasets is key to unlocking more advanced insights.

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