By: Eric Siegel, Founder, Predictive Analytics World
In anticipation of his upcoming conference presentation, Listening Down the Value Chain: 
Using Text-based Predictive Models to Find New Opportunities for B-to-B Business, at Predictive Analytics World San Francisco, May 14-18, 2017, we asked Michael Dessauer, 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 market listening modeling efforts focus on two types of predictions: consumer sentiment relative to our current value propositions and consumer needs to validate / identify future technology focus areas.
Q: How does predictive analytics deliver value at your organization – what is one specific way in which it actively drives decisions or operations?
A: One specific example is identifying cross-selling opportunities using our custom-developed recommender engine.
Q: Can you describe a quantitative result, such as the predictive lift of your model or the ROI of an analytics initiative?
A: We have assisted businesses on price optimization which significantly lifted their margins while reducing business resources needs.
Q: What surprising discovery or insight have you unearthed in your data?
A: We have been able to better quantify a market disruption by eCommerce-exclusive brands which was surprising in its significance.
Q: Sneak preview: Please tell us a take-away that you will provide during your talk at Predictive Analytics World.
A: The audience will hopefully leave with a clear understanding of market listening’s importance and value for B-to-B businesses through real-life examples.
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Don't miss Michael’s conference presentation, Listening Down the Value Chain: Using Text-based Predictive Models to Find New Opportunities for B-to-B Business on Tuesday, May 16, 2017 4:20 to 4:40 pm, at Predictive Analytics World San Francisco. Click here to register to attend.
By: Eric Siegel, Founder, Predictive Analytics World