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

    1081 HV Amsterdam

    Netherlands

20032018
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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 (www.acba.nl), 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 (www.datasciencealkmaar.nl), 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.

Research

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

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

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Research Output 2003 2018

Strategizing
Postal service
Service organization
Empirical analysis
Resources
Strategizing
Postal service
Service organization
Open Access
Economics
Literature review
Big data
Stakeholders
Systematic review
Gold
Postal services
Processing
Big data