Understanding Data Analytics

> Target audience Key benefits Key topics  – Meet the staff

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 percent 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 program Understanding Data Analytics (DAN) 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.
 

 

Target audience

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.

 

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
     

Meet the staff

Understanding Data Analytics

Dates
4. - 5. Jun 2019
Duration
2 Days
Location
Berlin
Tuition
2,600 €

Raji Jayaraman (Program Director)

is a tenured associate professor of economics. She received her PhD in economics from Cornell University and worked at the Center for Economic Studies (CES) in Munich before joining ESMT in 2007. Raji’s fields of interest are development economics and labor economics.

While using micro data on individuals, schools, and firms in India, Germany, and Canada, her research examines how people respond to incentives. She is currently serving as faculty lead for ESMT’s full-time MBA program.