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Leveraging Business Analytics for Decision Making

Leveraging Business Analytics for Decision Makers

Dates:  July 23-24, 2014

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Location:  Carnegie Mellon University
Tepper School of Business
Executive Education Center
Pittsburgh, PA 15213

Fee: $2,400

Can business analytics be your competitive advantage? The road to return on business analytics is not simple, but the performance gap between companies that have achieved that edge – using previously unavailable insights into pricing, customer relationships, inventory, supply chain visibility, segmentation and customer behavior – can be significant. Learn how to apply this to your business.

Program Overview

This is a pragmatic, actionable executive education program that works from the perspective of achieving the promise of analytics through decisions that are proactive and driven by insight. The executive education program faculty present essential insights into data opportunities and models that managers must capitalize on in order to champion and realize the value of analytics.  

Topics Include:

  • Data Competitiveness - Unlocking the potential to leverage data for competitive advantage
    An integrated understanding of the ‘business analytics ecosystem’: data opportunities, model quality, and how you as decision makers incorporate new insights into decision processes that lead to competitive advantage through analytics.
  • Models for Business Analytics and their Managerial Implications
    What do we need to understand about models and their ability to mediate the transition from data to decisions?  What are their limitations? 
  • Pragmatic, interactive discussions of Business Analytics opportunities in Operations/Supply Chain and Strategic Marketing
    What information are you NOT using that can be driven into the decision process?  What opportunities are there to jumpstart and further mature your use of analytics?  What new streams of data can provide valuable insights for decision makers?
  • Big Data
    What is the potential for turning Big Data into ‘Big Decision’?  What are the enabling technologies and challenges to realize the potential of Big Data?

  • Panel Discussion: How analytics is reshaping business
    Hear from senior managers from a variety of industries about how they are using analytics, the hurdles they have overcome, and what the future may promise.

Participants

You are a senior manager or functional leader who needs to:

  • Deepen your understanding of business analytics and the potential of statistical approaches
  • Gain insight into how other companies are navigating challenges to successfully use analytics
  • Learn to define and identify your highest value opportunities to generate bottom line results by leveraging the power of analytics
  • Move from a sense and respond decision orientation to a more effective predict and act approach

While this program can be particularly useful for senior operations and marketing managers who recognize the potential for business analytics, it can be equally rewarding for managers from a diverse functional spectrum, areas in which analytics have become a unique opportunity to create value.

Terms & Conditions

Fee: The program fee of $2,400 per person covers tuition, course materials, and most meals. Companies sending three or more participants, organizations with fewer than 500 employees, non-profits, and the government sector receive a 10% discount.

Accommodation: Rooms have been reserved at special seminar rates at a local hotel. Logistic details will be communicated to participants after registration. Cost of accommodation is not included in the program fee.

Cancellation policy: For cancellations received more than four weeks before the program, the program fee will be fully refunded, less a $300 administrative fee. For cancellations received 14 to 27 days before the program, a 35% refund will be provided. For cancellations received less than 14 days before the program, no refunds will be given. Feasible substitutions may be an option at the discretion of the Tepper School of Business.

 

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