Analytics and Decision-Making: Unlock the Power of Data
Executive Education Open Enrollment Program
Master techniques for the collection, manipulation and interpretation of data to inform key business decisions and create impact.
2019 Dates: Nov. 6-8, 2019
2020 Dates: Nov. 11-13, 2020
Location: Carnegie Mellon University
Superior analytic capability spells competitive advantage — and success. With today's ubiquity of data, every organization needs leaders who can understand the impact of data, advocate for its effective use and interpret analysis. Through a three-day deep-dive into the descriptive, predictive, and prescriptive levels of analytics, learn from renowned Carnegie Mellon University faculty – leading experts with cutting edge knowledge and a focus on application and results.
This program will equip you not only with deeper understanding of the tools and techniques available, but an ability to identify potential use cases in your own organization, and importantly, to clearly convey insights garnered to executive management - driving implementation and results.
Contact a program director at 412-268-2304 or email@example.com to learn more.
Learn More About the Analytics and Decision-Making Program
This program is designed for middle managers or higher who have a holistic view of their companies and are responsible for making business decisions based on data insights. Participants should understand use cases and recognize opportunities. Often these candidates have a lot of data but may not know what to do with it. The course develops leaders who can solve problems through an advanced understanding of data — how to use data tools, how to interpret the data and how to communicate the data for business decisions.
Descriptive Analytics: Prioritizing use cases
Assess the scope and depth of opportunities for analytics while understanding both the strengths and limitations of data analytical approaches. Identify the value from data and recognize the progression of descriptive, predictive and prescriptive models.
Predictive Analytics: Managing Uncertainty
Introduce the role of prescriptive modeling and understand the cycle of assessment, model and evaluate for data-based decision making. Identify specific risks and hurdles on the path to creating impact with analytics.
Prescriptive Analytics: Executing based on insight
Emphasis on using analytical models for strategic, tactical, or operations decision making. Identify the sources of data risk and strategies for alleviating them.
Willem-Jan van Hoeve
Carnegie Bosch Associate Professor of Operations Research
Assistant Professor, Institute for Software Research Robotics Institute
Assistant Professor of Information Systems
Associate Professor of Organizational Behavior and Theory
Associate Professor of Marketing
Professor of Operations Management, Head of Ph.D. Program