Wednesday, June 24, 2015

Predictive Data Analytics to Help Your Customers

Predictive Data Analytics to Help Your Customers

The @ExperianDataLab hosts a #DataTalk on Thursdays at 5 p.m. ET on Twitter. Join us.

This week, we talked about data preparation, model evaluation, testing effectiveness of predictive analytics, challenges, and trends in predictive analytics.

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.

Learn about past and upcoming chats at:
http://experian.com/datatalk
Published in: Data & Analytics

Transcript

  • 1. #DataTalkPredictive Data Analytics to Help Your Customers
  • 2. Join our #DataTalk on Thursdays at 5 p.m. ET This week, we tweeted with Michael Beygelman, Co-founder and CEO of Joberate, Berry Diepeveen, Partner and Enterprise Intelligence Leader at EY, and Chuck Robida, Chief Scientist for Experian Decision Analytics. Check out all tweets from this Twitter chat: ex.pn/predictive
  • 3. What is predictive analytics?
  • 4. Michael Beygelman CEO, Joberate @beygelman @joberate ex.pn/datatalk #DataTalk Predictive analytics is extracting information from data sets to determine patterns, predict outcomes and trends.
  • 5. Chuck Robida Chief Scientist, Experian @ExperianDA ex.pn/datatalk #DataTalk Predictive analytics is the ability to use data to predict future behavior based on past behavior.
  • 6. Berry Diepeveen Partner, EY @Berry_Diepeveen ex.pn/datatalk #DataTalk I think it is as old as business. Nobody can perfectly predict the future, but you want to be more accurate about what is likely to happen.
  • 7. Chuck Robida Chief Scientist, Experian @ExperianDA ex.pn/datatalk #DataTalk It’s the ability to analyze data in a way that can scale, be reproduced, and provide unbiased results.
  • 8. Michael Beygelman CEO, Joberate @beygelman @joberate ex.pn/datatalk #DataTalk Clever marketers are redefining predictive analytics into whatever suits them today, so we need to beware.
  • 9. Chuck Robida Chief Scientist, Experian @ExperianDA ex.pn/datatalk #DataTalk Some techniques get more attention than others like machine learning, but all are used to solve business problems.
  • 10. Berry Diepeveen Partner, EY @Berry_Diepeveen ex.pn/datatalk #DataTalk It is about being able to intervene. What is the point of finding out we lost a customer after he left? We need to prevent losing one before it happens.
  • 11. Michael Beygelman CEO, Joberate @beygelman @joberate ex.pn/datatalk #DataTalk I’ve always said that predictive analytics needs to be actionable like a brake system in a car. When you press, it does something.
  • 12. Chuck Robida Chief Scientist, Experian @ExperianDA ex.pn/datatalk #DataTalk Predictive analytics isn’t a crystal ball, but the value comes in identifying the propensity of certain behaviors.