Predictive Data Analytics to Help Your Customers #DataTalk

The Experian Data Lab host a #DataTalk on Twitter on Thursdays at 5 p.m. ET.

In this chat, we learned from Michael Beygelman, Co-founder and CEO of Joberate and Berry Diepeveen, Partner and Enterprise Intelligence Leader at EY in South Africa, and Chuck Robida, Chief Scientist for Experian Decision Analytics.

Questions We Discussed:

  • Q1. What is predictive analytics?
  • Q2. How trustworthy is predictive analytics? When is it relevant?
  • Q3. What types of data do you see companies using for predictive analytics?
  • Q4. How much preparation needs to be done around the data before executing predictive analytics?
  • Q5. How often should models get updated?
  • Q6. What are the best ways to test the effectiveness of predictive analytics?
  • Q7. What are ways companies can use predictive analytics in new ways?
  • Q8. What are the challenges when working in predictive analytics?
  • Q9. What trends are happening in predictive analytics?
  • Q10. In what way could predictive analytics improve going forward?
  • Q11. Any final tips for companies working in predictive analytics?

Join our next #DataTalk as we discuss another big data topic.

Check out the complete Twitter chat:

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