In this Webcast, Tonya Balan, SAS Analytics Product Manager, provides us with a 50,000-foot tour of Analytics. She will define a variety of analytical approaches, talk about how they’re applied in business and why we should care.
Balan will review Statistics, Predictive Modeling, Text analytics, Forecasting and Optimization. She’ll help us understand how statistics can help us see customer choice patterns and develop public opinion polls; how modeling can surface underlying reasons for customer loyalty, reduce risk exposure with more accurate credit scoring and save on down time with predictive maintenance.
We’ll hear how text analytics can help better predict the efficacy of a drug and also identify fraudulent insurance claims. She’ll underscore forecasting benefits like improving staffing and inventory accuracies, reducing costs and ensuring availability of energy.
Don’t miss this valuable tutorial on the basics of Analytics!
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SAS Analytics can be applied to a vast range of business challenges across many industries and departments. To learn more about what you can achieve with SAS Analytics, explore the SAS Analytics Info Kit.
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About Tonya Balan, Analytics Product Management, SAS
As manager of the Analytics Product Management team, Tonya Balan is responsible for providing strategic direction for all aspects of SAS’ suite of analytical products. Her team works closely with SAS customers and development partners to define requirements and influence enhancements to SAS’ data mining, forecasting, text mining, operations research and statistical analysis products.
Prior to joining the product management division, Balan worked as a technical consultant for data mining and taught numerous statistics and data mining courses for SAS’ Education Division. In addition to her experience at SAS, she has extensive consulting experience and has served on the faculty of the North Carolina State University Department of Statistics.
Balan holds a Ph.D. in Statistics from North Carolina State University in Raleigh, NC.
