Business Analytics: Leveraging the Power of Data

Course Description

Discover methods to measure activities and customer relationships with precision. Gain insight into customer behavior through analysis of data available. Learn data collection techniques and analyze gathered data as the basis on key business decisions. Learn from industry leaders in a panel discussion.

Course ID: MNGT 1040P
Course Format: Classroom

Available Classroom Sections

Start Date End Date Registration Deadline Format Location Cost CRN
Section Details May 15, 2018 May 16, 2018 May 15, 2018 Classroom Atlanta, GA $1,950 18446
View previous sections
View Previous Sections
CRN Start date End date Format Location Cost
16502 May 10, 2016 May 11, 2016 Classroom Atlanta, GA $1,950
16657 Nov 29, 2016 Nov 30, 2016 Classroom Atlanta, GA $1,950
17482 May 16, 2017 May 17, 2017 Classroom Atlanta, GA $1,950
17754 Aug 10, 2017 Aug 11, 2017 Classroom Omaha, NE $2,450

Special Discount

Alumni/Georgia Tech staff:   If you are a Georgia Tech alumni or current staff member, you can receive a 10% discount.   Use coupon code SCB-010x.

Who Should Attend

  • Senior managers, directors, vice presidents, and C-level executives involved in strategic, operational, tactical, or marketing decision-making
  • Leaders and managers from business-to-business or business-to-consumer companies and corporations who:
    • Determine and guide corporate direction
    • Rely on data to direct and justify decisions
    • Establish pertinent key metrics
    • Request analytics projects / insight development
    • Digest insights and turn them into implementable plans

How You Will Benefit

  • Develop a thorough understanding of the importance, potential usage, and strategic implications of data and analytic methods as they relate to your daily operations and long-term corporate goals
  • Gain insight into how operations metrics and market behaviors drive business objectives, impact future direction, and support the decision-making process
  • Learn how data can generate profits and effect organizational improvement


  • Developing and Managing Data Assets
  • Visualizing and Presenting Analytics
  • Business Problem Framing for Analytics
  • Building and Maintaining a Solid Data Analytics Team
  • Use of Artificial Intelligence for Analytics Solutions
  • Communicating the Data and Analytics Story
  • Advanced Modeling and Machine Learning
  • The Executive's Algorithms: Strategies for Making Data and Analytics Work
  • Taking the Learning Home—A 100 Day Action Plan



  • Books, instructional materials, breakfast, lunch, snacks, and parking.

For Course-Related Questions

Please contact the course administrator: Linda Read