analytic velocity

Accelerating Analytic Velocity

To be competitive, all businesses today must be much faster at asking the right questions and making decisions quickly, with the ultimate customer experience always top of mind. (Think Amazon.com) However, in enterprises, this agility has been painfully impeded by…

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Mastering Data Variety

Data variety — the middle child of the three Vs of Big Data — is in big trouble.  It’s in the critical path of enterprise data becoming an asset. And it’s been slow to benefit from the kind of technology…

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Stop Putting the AI Cart Before the Data Horse

Flush with Big Data and an accelerated way to capitalize on it (AI), many large enterprises are making a classic mistake. They’re assuming that their data is good enough to leverage as an asset. It is not.   In a recent…

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The People of DataOps

To produce a great piece of music, orchestras require a variety of independent, skilled musicians working together under an equally skilled conductor. With all the innovations in their instrumentation and the talent of composers, success for an orchestra comes down…

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Data as an Asset: The Potential of DataOps in the Enterprise

As modern enterprises embrace the potential value of data to their organization, they are beginning to build out a new generation of data infrastructure and human behavioral norms to complement their traditional legacy infrastructure and data culture. The technical methods…

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The Key Components of a DataOps Ecosystem

There are many ways to think about the potential components of a next gen enterprise data engineering ecosystem. Our friends at DataKitchen have done a great job with this post which refers to some solid work by the Eckerson Group.…

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Key Principles of a DataOps Ecosystem

Having worked with dozens of Global 2000 Customers on their data/analytics initiatives, I have seen a consistent pattern of key principles of a DataOps ecosystem that is in stark contrast to traditional “single vendor,” “single platform” approaches that are advocated…

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