Understanding Data Analytics - Seminar / Kurs von ESMT Berlin - European School of Management and Technology GmbH


  • 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


At the end of this course, participants will understand how data can and cannot be used to guide decision making. They will be able to spot bad analytics when they see it and feel empowered to question the data analytics presented to them. In addition, they will have mastered the basics of running an experiment to inform managerial decisions.Organizations are often overwhelmed with big data. Part of this is because big data is viewed as a technical or data-science problem. Even though investments in technology and data scientists are necessary in order to leverage big data for decision making, they are not enough. At its core, (big) data analytics is an issue of leadership. It involves managerial judgement and has to be problem-driven. Participants will return knowing how to use big data and will be able to critically assess the material that is presented to them.


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.

SG-Seminar-Nr.: 1802247

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