Photo of J.F.M. Feldberg
  • De Boelelaan 1105, VU Main Building A-wing, 5th floor

    1081 HV Amsterdam


If you made any changes in Pure these will be visible here soon.

Personal profile

Personal information

Frans Feldberg is Professor of Data Driven Business Innovation at the KNI-research group, School of Business and Economics at Vrije Universiteit Amsterdam. His actual research is on how organizations can create value from (big) data and analytics.

He is co-founder and member of the Executive Board of 'the Amsterdam Center for Business Analytics (, a multidisciplinary research institute in the field of big data, business analytics and data science. ACBA is working with a variety of companies on big data and business analytics projects.

Frans is also co-founder of Data Science Alkmaar (, a regional knowledge and innovation center in the field of data science and big data, in which regional municipalities, Vrije Universiteit (ACBA) and local businesses work together intensively.

As a business consultant, he has extensive experience in the development and implementation of data & analytics-driven business models, services and strategies for national and international companies.


His research is on the interface of business administration, organization sciences, cognitive psychology and computer sciences. He is specialized in decision making behavior and data-driven business innovation. His actual research projects focus on answering the question: How do organizations realize value from (big) data and analytics? 


Teaching courses:

Business Intelligence & Analytics

Digital Business & Information Systems

Entrepreneurship in Data Science & Analytics

eBusiness and Information Systems

Ancillary activities

  • C.S.G. Jan Arentsz | Alkmaar | Lid Raad van Toezicht | 2011-10-13
  • Pivot I&E Management BV | Alkmaar | Directeur/eigenaar | 2013-01-02
  • ONVZ Zorgverzekeraar | Houten | Member Board of Representatives | 2014-03-05

Ancillary activities are updated daily

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 4 Similar Profiles
Virtual reality Engineering & Materials Science
Information systems Engineering & Materials Science
Decision making Engineering & Materials Science
Testing Engineering & Materials Science
Motivation Medicine & Life Sciences
Cartoons Medicine & Life Sciences
Industry Engineering & Materials Science
Individuation Medicine & Life Sciences

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2003 2018

Postal service
Service organization
Empirical analysis
Postal service
Service organization
Open Access
Literature review
Big data
Systematic review
Postal services
Big data