Here’s a sneak peek of what you can learn in our study:
- Why your data strategy should be linked to your business strategy
- Why data use cases are crucial elements of a data strategy
- Why every project should have defined KPIs
- When the main focus should be on technology and when it should be on people and processes
- The role of empowering employees to work with data
- What top management can do to support successful data projects
- What companies with a successful data strategy are doing better than others
The study is perfect for you if you have one of the following roles or responsibilities:
Prof. Dr. Eva Anderl is a professor at the Faculty of Business Administration at Munich University of Applied Sciences. She teaches and researches at the intersection between marketing and data science. Before her appointment at the Munich University of Applied Sciences, she worked as a consultant for data science and data strategy, helping a large number of companies to use their data in a targeted manner.
Dr. Isabelle Kes has been successfully advising clients from various industries on data strategy, digital strategy, and complex analytics & insights projects for over 10 years. She has been part of the FELD M team for 6 years. After studying business administration in Münster, she completed her doctorate at the Chair of Service Management at the TU Braunschweig on the subject of personalized advertising. In addition to her work for FELD M, she teaches and researches at Munich University of Applied Sciences and the IHK Nord Westfalen on the topics of data strategy, data-driven companies, and organization.
Antje Ebner was responsible for topics including digital marketing, audience development, and user research at companies such as Süddeutsche Zeitung Digitale Medien and the Scout24 Group. At FELD M, she advises clients in various sectors such as pharmaceuticals, insurance, banking and e-commerce. Her area of focus include data strategy, organization, and consumer research.
How to generate more value from your data