European School of Management and Technology

Understanding Data Analytics

Available dates

Jun 8—9, 2020
2 days
Berlin, Germany
EUR 2600 ≈USD 2874
EUR 1300 per day


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About the course

A recent study by the Boston Consulting Group and Amazon, which looked at 167 companies in five sectors, showed that leaders in big data generate an average of 12% more revenue than those that do not maximize their use of analytics. However, in order to maximize that benefit, managers require the insight and understanding of how to utilize big data effectively.

The English language program Data Analytics for Decision Making aims to turn participants into informed and empowered managers of data. The combination of case studies, lectures and class discussions will facilitate an understanding of the role of big data in managerial decision making. Participants will apply critical thinking to assess material presented to them, and learn to distinguish good analytics from bad analytics.

Key benefits

  • Understand use of data to guide decision making
  • Develop ability to spot bad analytics
  • Feel empowered to critically question and assess data analytics
  • Mastery of basics of running an experiment to inform managerial decisions

Key topics

  • Why managers need big data and big data needs them
  • The difference between descriptive, predictive, and prescriptive analytics
  • How to distinguish between good and bad data analytics
  • The new gold standard: Business experiments for managerial decision making

Who should attend

This program has been designed for mid or junior-level managers who need to understand the role of big data in managerial decision making. Participants are not required to have any mathematical or statistical prowess in order to follow its content or benefit from it.

Trust the experts

Rajshri Jayaraman

Raji Jayaraman holds the Karl-Heinz Kipp Chair in Research at ESMT Berlin. She has a PhD from Cornell University and worked at the Center for Economic Studies at the University of Munich prior to joining ESMT in 2007. She is a development economist whose research has focused broadly on the role ...


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