In this episode of the ShiftShapers Podcast, David talks to Hugh O’Toole. Hugh is CEO of Innovu, a company that offers analysis services and well-designed products to help companies seamlessly integrate data across all programs. David and Hugh discuss the use of data to help advise companies.
Hugh explains the process of cleaning data sets to set them up for proper analytics. He demonstrates how to utilize data sets to monitor and predict healthcare for employees, organize worker’s compensation, and identify fraud within a system. Hugh talks about particular insights gained after data analysis and how reconciling different perspectives generates the right modeling, reports and predictions.
What You’ll Learn From this Episode:
- 3:02 Cleaning data
- 6:05 Healthcare and workers’ compensation
- 12:52 Different lenses and views
- 16:32 Real time data and transparency
- 19:59 Accessibility of data services
“Big data that doesn’t create answers, in our opinion, is not very useful.”
“One of the things that’s really important when you get a data set in, you’re going to need to clean that data, you’re going to make sure that it’s accurate.”
“From our perspective, if you want market share, if you want to retain your business, if you’re not running something that creates transparency, accountability, ROI for your clients, I believe you’re already behind.”