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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

Like the proverbial man looking for his keys under the streetlight , when it comes to enterprise data, if you only look at where the light is already shining, you can end up missing a lot. With more dark data visible in a unified view, you’re in a better position to reveal hidden insights. Use people.

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“Data is the closest thing to magic in the modern world…”

Timo Elliott

This is a English translation of an article by Thérèse van Bellinghen that first appeared on the SAP News Blog. . Yves Lombaerts, Sales Manager for the Belgian market, picked up our Global Innovation Evangelist Timo Elliott for an interesting ride to SAP’s offices in Brussels. Because all that info is sorted in data silos.

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The Rise of the Data Executive

Sisense

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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Analyst, Scientist, or Specialist? Choosing Your Data Job Title

Sisense

We live in a constantly-evolving world of data. That means that jobs in data big data and data analytics abound. The wide variety of data titles can be dizzying and confusing! Programming and statistics are two fundamental technical skills for data analysts, as well as data wrangling and data visualization.

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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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Deriving Business Value Through Data Governance

Dataversity

Growing companies often find themselves floating on an “ocean” of underutilized or misused data – data 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.