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As Prescriptive Analytics shifts from ‘good to have’ to ‘must have’ it is hard to overlook the tremendous role that optimization plays in this Business Analytics discipline.  According to the Chief Analytics Officer Forum Survey 2015, 56.3% of Chief Analytics Officers plan to invest in Business Optimization and Analytics applications in the next 12-24 months.


So in 2016, take your predictive models to the next level by making them actionable with optimization for strategic, tactical and operational decision making.


Join us for the Optimize It webinar and find out how optimization can help you:


  • Solve complex problems such as channel optimization, credit risk optimization, debt management optimization, operational optimization, and many more!
  • Make the most of your resources by managing competing business goals, aligning with budgets, and adhering to internal/external policies and constrains.
  • Evaluate the best treatment for a particular business problem and avoid costly mistakes.
  • Achieve maximum results with minimum loss under real-world constraints.

Your optimization solution awaits you, so don’t miss out on the Optimize It webinar as we walk you through real-world optimization business use cases and showcase our new optimization solution, InsightOPTIMIZER, via a live use case demo!


Who should attend: All Business Analytics Leaders such as but not limited to Chief Analytics Officers, Data Scientists, Strategic Consultants, Optimization Practitioners, Optimization Modelers, Pricing Analysts, Business Analysts, Financial Analysts, Operations Analysts, Marketing Analysts.

Chris Long
Solutions Specialist Lead
Angoss Software
  • Chris has 16 years in advanced predictive analytics including real-time data mining, text and optimization analytics.
  • Previous to Angoss, Chris has worked as a consultant for SAS and Infor Epiphany in the area of advanced and real-time analytics with global focus on the Retail Financial Services and Telecommunications.
  • Experienced in building proof of concept applications and involved in selling both applications and technical products to a wide audience, including business users, IT, and C-level executives.
  • Deep understanding of analytic strategies for fraud and marketing.
Michael Vallely
Senior Data Scientist
Angoss Software
  • Michael has over 10 years experience in predictive analytics, statistics and data mining.
  • Over the years, Michael has led numerous end-user software training projects and provides ongoing consultancy services within Angoss.
  • Extensive experience in building propensity and forecasting models as well as scorecard generation.

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