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Summary: This is a summary of an article originally published by The New Stack. Read the full original article here →
https://www.linkedin.com/in/ram-chakravarti-a59966/ Today, the world runs on data. From our GPS to our cell phones, to apps, to ATMs, to the sensors on planes, trains and every form of transportation and utility, data is everywhere.
By implementing DataOps, organizations can overcome many of the challenges that have caused previous attempts to harness and monetize data through data and analytics initiatives to fail, such as: Exponential data growth, in number and type of data.
DataOps can solve for these issues and help organizations capitalize on their data and evolve their business through: Extensive collaboration across the data management ecosystem and the personas spanning business and IT.
DataOps, including automation technologies and extensive cross-business collaboration, can help enforce the delivery discipline required for successful data and analytics transformations, as organizations strive to become a data-driven business and an Autonomous Digital Enterprise.
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