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.”