2 - Challenges to Capitalizing on Oil & Gas Data Analytics (with Kiran Sathaye)
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2 - Challenges to Capitalizing on Oil & Gas Data Analytics (with Kiran Sathaye)
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Engineers and analysts spend 80% to 90% of their time cleaning up hybrid datasets for machine learning models and analytics. Listen in as Novi Technical Advisors Ted Cross and Kiran Sathaye talk about oil and gas industry challenges with an emphasis on managing data quality, cumbersome workflows and spacing calculation complexity.
Novi Data Engine addresses these challenges and more by shortening time to insights through automation and enabling scalability. As a result, our software empowers teams to invest their valuable time deriving accurate insights that matter.
The end game is all about maximizing the return on your data. As Kiran explains, “The way that a manager in an oil company should think about this is if you have data and are not getting the max value out of it, it is wasted. That is just as much of an economic waste as pumping profit into a well that you didn’t get any uplift from. It’s money going down the drain.”
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