Tepper School of Business

Analytics and Decision-Making Unlock the Power of Data

Available dates

Nov 11—13, 2020
3 days
Pittsburgh, PA, USA
USD 4100
USD 1366 per day
Nov 9—11, 2021
3 days
Pittsburgh, Pennsylvania, United States
USD 4100
USD 1366 per day

Disclaimer

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About the course

Master techniques for the collection, manipulation and interpretation of data to inform key business decisions and create impact.

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.

Program Schedule

Day 1

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.

Day 2

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.

Day 3

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.

Key Takeaways

  • Gain deeper understanding of analytic tools: both advantages and pitfalls
  • Recognize potential opportunities and appropriate techniques
  • Learn to effectively communicate results and recommendations to executive level management
  • Prepare to credibly advocate for vital organizational culture change
  • Recognize how to use data analytics to innovate and improve operational efficiency.

Who should attend

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.

Trust the experts

Brandy Aven

PHONE 412-268-6347 OFFICE POS - Posner Hall - Room 378 AREA OF EXPERTISE Organizational Behavior and Theory EDUCATION Stanford University - Ph D (Sociology) - 2010 Stanford University - MA (Sociology) - 2004 University of California at Los Angeles - BA (Sociology) - 2000 PUBLICATI...

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Alan Montgomery

PHONE 412-268-4562 OFFICE GSIA - Tepper School of Business - Room 228A AREA OF EXPERTISE Marketing EDUCATION University of Chicago - MBA - 1994 University of Chicago - Ph D - 1994 University of Illinois at Chicago - BS - 1989 TEACHING AND RESEARCH INTERESTS Electronic Marketing, ...

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Nicola Secomandi

PHONE 412-268-9596 OFFICE POS - Posner Hall - Room 358 AREA OF EXPERTISE Operations Management EDUCATION University of Houston - Ph D - 1998 University of Houston - MS - 1993 Universitá di Venezia, Cá Foscari - Laurea - 1992 PUBLICATIONS Relationship between Least Squares Monte ...

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Willem Jan Van Hoeve

PHONE 412-268-9655 OFFICE POS - Posner Hall - Room 239 AREA OF EXPERTISE Operations Research EDUCATION University of Amsterdam, Centrum voor Wiskunde en Informatica - Ph D (Computer Science) - 2005 University of Twente - MS (Applied Mathematics) - 2000 TEACHING AND RESEARCH INTERES...

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