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Top Challenges and Opportunities for Chief Data Officers

Sisense

Whatever a company does, how it uses data is a key differentiator in its success or failure. Whether that data is generated internally or gathered from an external application used by customers, organizations now use on-demand cloud computing resources to make sense of the data, discover trends, and make intelligent forecasts.

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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. Storing data isn’t enough. Use people.

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The Analytics Sandwich: Understanding the Business Value of Data and AI

The Data Administration Newsletter

In discussions with data management professionals, conversations often veer toward the technical intricacies of migration to the cloud or algorithm optimization, overshadowing the core business objectives that originally spurred these initiatives.

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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! Data analysts might report to a CIO, a Chief Data Officer (CDO), or possibly to a data scientist or business analyst team leader.

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What Data Practitioners Need to Know (and Do) About Common Language

Dataversity

Redman) served as the judge in a mock trial of a data architect (played by Laura Sebastian Coleman) […]. The post What Data Practitioners Need to Know (and Do) About Common Language appeared first on DATAVERSITY. Weinberg [1] In March 2019, one of us (Thomas C.