COURSE OVERVIEW

This practical and highly-interactive course includes real-life case studies and exercises where participants will be engaged in a series of interactive small groups and class workshops.
This course is designed to provide participants with a detailed and up-to-date overview of data analytics for managerial decision making. It covers how analytics is transforming organizational decision making and innovation, pitfalls and payoffs for business; the descriptive analytics, what data to collect and what it is telling you; the data visualization techniques to envision important factors and relationships, quantifying data, data variability and dealing with limited data; and the predictive analytics and what is likely to occur based on what has happened in the past.
During this interactive course, participants will learn the customer demand and preferences by mining data, strategies and tactics for deploying predictive analytics initiatives; the prescriptive analytics and understanding data to make better decisions; the “what if” scenario analysis, minimizing pitfalls such as process variability and the “flaw of averages” and outcome optimization; the best-in-practice analytics methods, analytics best practices and implementation challenges; and get started with analytics methods that can be applied to your organization.