Step into the future of business with our exciting Predictive Analytics seminar! As technology rapidly evolves, successful leaders are turning to digital tools to gain a competitive edge. Don't miss out on this exclusive opportunity to revolutionize your decision-making processes and take your business to the next level.

Our seminar is tailored to provide practitioners with the essential Predictive Analytics tools to tackle real-world problems and seize new opportunities in crucial areas like marketing, finance, and logistics. Join us and unlock the power of data-driven insights to empower your business and stay ahead of the curve!

 

Course Objectives

  • Predicting sales for existing products using time series and multiple regression analysis
  • Forecasting sales for new products with bass modelling
  • Identifying the most profitable consumer segments and product preferences with lifetime value
  • and logistic regression analysis
  • Converting sales leads to business opportunities with logistics regression analysis
  • Making decisions under uncertainty with Monte Carlo simulation

Learning Objectives

We use real-life case studies and apply concepts and principles to real-life data sets. At the end of the seminar, participants will be able to:

  • Predict sales volume and revenue for new and existing products
  • Effectively segment the marketplace
  • Make decisions under uncertainty
  • Use data to make decisions under uncertainty

Practical Key Takeaways

Upon completion of this seminar participants will be able to:

  • Implement effective management tactics using the data analytics framework
  • Predict sales for new and existing products
  • Assess what segments of the marketplace should the company pursue, given scarce resources
  • Qualify sales leads

 

The Facilitator

Professor Paul Dion – Professor of Data Analysis, Susquehanna University of Pennsylvania, USA and Data Science Consultant. Paul Dion earned his PhD from the University of Toronto's Rotman School of Business in Management Studies with a statistics minor. He has published many articles in business journals such as the Journal of Business Research, Industrial Marketing Management, Journal of Purchasing Management, and the Journal of Academy of Marketing Analytics in marketing, distribution and logistics. He is a reviewer for several journals specializing in the methodology and statistical analysis area. Since 2000, his primary research area of interest has been advanced data analytic techniques. He is currently a data science consultant for several international companies. He has taught doctoral programs in Germany, England, Northern Ireland, Thailand (Fulbright specialist fellow 2014), South Africa, and at the University of the West Indies (St. Augustine campus), Trinidad.

 

Pricing Information

Seminar Fee: TT$2,800/US$400

  • Discount: Get a 10% group discount. Applicable to:
    • Groups of three or more individuals attending from the same organization
    • The UWI campus community
  • Online payment option (bank charges of 3% applies).

When and Where

The seminar will be hosted by the Business Development Unit of the Faculty of Social Sciences, The University of the West Indies. It will utilize interactive pedagogy strategies to promote an engaging learning experience. You will be able to join this workshop via Zoom to participate in discussions, interactive presentations, group exercises, resource videos, and valuable articles and case examples.

 

The seminar will follow the schedule below:

Dates: April 26th, April 27th, May 3rd and May 4th, 2023

Live Lecture via Zoom.

Don't hesitate to contact Darnell at sta-fssbdu@sta.uwi.edu, or visit https://sta.uwi.edu/fss/business-development-unit  for registration details or complete the registration form.

Apply Now!

 

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