By: Eric Siegel, Founder, Predictive Analytics World

In anticipation of his upcoming conference presentation, Creating an industrial Revolution for Analytics at Predictive Analytics World San Francisco, May 14-18, 2017, we asked Paul Speaker, Senior Data Scientist at The Dow Chemical Company, a few questions about his work in predictive analytics.

Q: In your work with predictive analytics, what behavior or outcome do your models predict?

A: Our group’s work is involved in developing predictive and prescriptive analytics in the sales, commercial, and supply chain spaces. 

Q: How does predictive analytics deliver value at your organization – what is one specific way in which it actively drives decisions or operations?

A: We have a set of predictive models, which, when used together, can do anything from drive demand planning to prioritize the targeting of customers to prevent churn or other leakage.

Q: What surprising discovery or insight have you unearthed in your data?

A:  Looking at data at the transactional level always reveals behavior not just of customers but of everyone who is involved in “creating” the data.

Q: Sneak preview: Please tell us a take-away that you will provide during your talk at Predictive Analytics World.

A: While the primary focus of innovation in analytics has been from increasingly complex predictive algorithms, the creative combination of predictive results of relatively simple models can result in even more value.

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Don't miss Paul’s conference presentation, Creating an industrial Revolution for Analytics on Tuesday, May 16, 2017 from 3:55 to 4:15 pm at Predictive Analytics World San Francisco. Click here to register to attend.

By: Eric Siegel, Founder, Predictive Analytics World