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: