It’s 2019. It’s been 20 years since the term “big data” was first coined by John Mashey, then Chief Scientist at Silicon Graphics. Yet, in many ways, organizations are still analyzing their big data like it’s 1999.

  • They are still beholden to the ETL process.
  • They are still forced to aggregate their data.
  • They are still expected to know what questions they want to ask before even seeing their data.

Though the dashboards look sexier and the pictures look prettier, the fundamentals of how organizations extract insight from data have changed startlingly little over the last 20 years. The time has come for that to change.

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