Context

In the era of big data, business leaders are turning toward digital tools to learn, understand and make informed decisions. Successful businesses are moving beyond the basic spreadsheet and revolutionizing their decision-making processes with data Analytics. Data Analytics is an interdisciplinary field that uses scientific algorithms, methods, techniques, and approaches to extract valuable insights from data.  Data Analytics provides the intelligence to empower managers and decision-makers to adopt optimal solutions and pay attention to the issues that matter.

 

This seminar is specifically focused on giving practitioners the data Analytics tools to tackle common problems and opportunities in areas such as marketing, finance, and logistics.

It will expose the fundamental principles in data Analytics and provide the basic skills to use big data to solve real-world business problems. Participants will learn how to extract information and knowledge from a large body of data and utilize various predictive models and visualization tools to wrangle, analyze, and visualize data.

This 4-day seminar is ideal for all business executives who either work with data or wish to acquire

knowledge in data analytics to make more profitable decisions.

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 20th, April 27th, May 04th and May 11th

Delivery Mode:Live Lecture via Zoom.

Email contact: sta-fssbdu@sta.uwi.edu 

Visit Us:sta.uwi.edu/fss/business-development-unit  

Registration Link: https://uwi.jotform.com/220655323766862

 

 

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