Data Collection Metadata ROI Statistics 
O'Reilly on Data
MARCH 31, 2020
All you need to know for now is that machine learning uses statistical techniques to give computer systems the ability to “learn” by being trained on existing data. After training, the system can make predictions (or deliver other results) based on data it hasn’t seen before. Machine learning adds uncertainty.
DataKitchen
JUNE 24, 2021
Bergh added, “ DataOps is part of the data fabric. You should use DataOps principles to build and iterate and continuously improve your Data Fabric. Agility as a concept in business is really powerful and certainly deserves a place in every data and analytics team.”. DataOps Maximizes Your ROI. Design for measurability.
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Jet Global
MAY 1, 2023
Return on Investment Now we bring it all together to calculate the ROI on embedded analytics. Costs: The investment in developing and maintaining the solution. “-1”: The formula assures that a positive ROI is achieved only when benefits exceed the costs. The formula looks like this: ($750k / $250k) = 3, so the ROI is 200 percent.
Andrew White
JANUARY 9, 2022
We found anecdotal data that suggested things such as a) CDO’s with a business, more than a technical, background tend to be more effective or successful, and b) CDOs most often came from a business background, and c) those that were successful had a good chance at becoming CEO or CEO or some other CXO (but not really CIO).
Alation
SEPTEMBER 1, 2022
By definition, a data intelligence platform must serve a wide variety of user types and use cases – empowering them to collaborate in one shared space. The problem Data Intelligence Platforms solve. Why is a data intelligence platform needed in the first place? Get the new IDC Marketscape for Data Catalogs to learn more.
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