Analytics and Decision-Making: Unlock the Power of Data

Harness the power of data to inform decisions and create impact.
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DATES: May 16-18, 2018

LOCATION: 

Carnegie Mellon University – Tepper School of Business
Executive Education
Pittsburgh, PA 15213

Harness the power of data to inform decisions and create impact.

As an experienced manager you understand that superior analytic capability spells competitive advantage — and success. The Carnegie Mellon executive program, Analytics and Decision-Making, uniquely features renowned Tepper School of Business professors with a keen focus on immediate impact for participants.

Participants master an understanding of techniques for collection, manipulation and interpretation of data to inform key business decisions. With a focus on application, the program successfully blends academic instruction with hand-on exercises. Participants immediately and directly apply expanded knowledge to create competitive advantage through data. 

Key objectives:

  • Build superior analytic and managerial capabilities for enhanced planning, strategic decision-making and organizational performance
  • Master accessible analytics tools and techniques to achieve competitive advantage
  • Understand machine learning and operations research approaches for decision support
  • Integrative analytics: How multi-channel analytics work together for enterprise performance

 

  • Program Overview

    Through interactive lectures by leading faculty and industry experts, case study and group exercises, Analytics and Decision-Making will boost both your quantitative analytic and your strategic decision-making skills, allowing you to lead your organization to greater heights of efficiency and effectiveness.

    Pre-Program

    Online Preparation

    Day 1

     

    Descriptive Analytics

    - From Analytics to Impact

    - Exploratory Data Analysis

    - Machine Learning

     

    Day 2

     

    Predictive Analytics

    - Forecasting models

    - Risk management

    - Choice modeling

     

    Day 3

     

    Prescriptive Models

    - Optimization models

    - Data interpretation

    - Integrative analytics

     

     

    * Program topics subject to change

     


    Companies Aricent, Bayer, BMW Group, Boeing, Bosch Group, Caterpillar, Coal India, Cognizant, Coromandel, Eicher Motors, Enzen Technologies, Genpact, iBanx, IBM, Joy Mining, Kennametal, Kirloskar Brothers Ltd., Komatsu Ltd., Mahindra & Mahindra, NEC Corporation, Nissan, NTT East Corporation, ProMetal RCT, PSA Peugeot Citroen, Qatar Telecom, Renault, Rinnai Corporation, Scania, Seagate, Sun Microsystems, SupplyOn AG, Swiss Automotive Group AG, Syngene International, Tata, Toyota Motor Corporation, Volvo Eicher Commercial Vehicles, Vulcano Termodomésticos SA
    Industries Aerospace & Defense, Agro Industry, Automotive, Building Technology, Chemicals & Pharmaceuticals, Consumer Goods & Electronics, Energy & Mining, Finance & Banking, Heavy Industry, Information Services, Industrial Technology, Media, Security Systems, Service Industries, Telecommunications
    Countries Austria, Belgium, Brazil, China, France, Germany, India, Italy, Japan, Netherlands, Panama, Portugal, Qatar, Russia, Saudi Arabia, Singapore, South Africa, South Korea, Spain, Sweden, Switzerland, United Kingdom, United States

    Companies Aricent, Bayer, BMW Group, Boeing, Bosch Group, Caterpillar, Coal India, Cognizant, Coromandel, Eicher Motors, Enzen Technologies, Genpact, iBanx, IBM, Joy Mining, Kennametal, Kirloskar Brothers Ltd., Komatsu Ltd., Mahindra & Mahindra, NEC Corporation, Nissan, NTT East Corporation, ProMetal RCT, PSA Peugeot Citroen, Qatar Telecom, Renault, Rinnai Corporation, Scania, Seagate, Sun Microsystems, SupplyOn AG, Swiss Automotive Group AG, Syngene International, Tata, Toyota Motor Corporation, Volvo Eicher Commercial Vehicles, Vulcano Termodomésticos SA
    Industries Aerospace & Defense, Agro Industry, Automotive, Building Technology, Chemicals & Pharmaceuticals, Consumer Goods & Electronics, Energy & Mining, Finance & Banking, Heavy Industry, Information Services, Industrial Technology, Media, Security Systems, Service Industries, Telecommunications
    Countries Austria, Belgium, Brazil, China, France, Germany, India, Italy, Japan, Netherlands, Panama, Portugal, Qatar, Russia, Saudi Arabia, Singapore, South Africa, South Korea, Spain, Sweden, Switzerland, United Kingdom, United States

  • Participants

    This program is not intended to develop data scientists. Instead, the course develops leaders who can solve problems through an advanced understanding of data – how to use the tools, how to interpret the data, how to communicate the data for business decisions. Ideal participants are managers and above responsible for making business decisions that can be better impacted based on data.

  • Featured Faculty

    Analytics and Decision-Making: Unlock the Power of Data will be led by distinguished professionals and faculty members from across Carnegie Mellon University.  

    Willem-Jan van Hoeve, Carnegie Bosch Associate Professor of Operations Research 

    Zico KolterAssistant Professor, Institute for Software Research Robotics Institute

    Vibs Abhishek, Assistant Professor of Information Systems

    Brandy Aven, Associate Professor of Organizational Behavior and Theory

    Alan Montgomery, Associate Professor of Marketing

    Nicola Secomandi, Professor of Operations Management, Head of Ph.D Program

     

  • Fee and Terms

    Fee: The program fee of $3,500 per participant covers instruction, course materials and on-campus meals. A non-refundable $250 deposit will be invoiced at the time of registration. The balance of the program fee is due prior to the start of the program.

    Accommodation: Logistic details will be communicated to participants after registration. Cost of accommodation is not included in the program fee. Recommendations for local hotel options can be provided, however rooms reservations and transportation are the responsibility of the participant.

    Cancellation policy:

    • All requests to cancel must be received in writing.
    • Qualified substitutes for registration can be accommodated.
    • Cancellations forfeit the deposit fee.