Roland Zimmermann

upon request

Roland Zimmermann

Prof. Dr.


Vice dean of the faculty of business administration

Curriculum vitae

Since 2017, Prof. Dr. Roland Zimmermann is Professor at the Technische Hochschule Nürnberg within the faculty of business administration. His teaching topics focus on Information Systems as well as on Analytics (Statistics) which he aggregates under the larger topic of "Data Literacy".

Prof. Zimmermann focuses on methods to develop analytic architectures for data-centric management. The concept of 'Data Literacy' consists of five main competencies required to create analytical systems: business-driven design of indicator systems, data management, quantitative analytics and planning, visualization and interaction with analytical results as well as security and privacy issues of data usage.

Before entering the academic world, Prof. Zimmermann spent more than ten years with a specialized German Business Intelligence software company where he was responsible with his team for Business Development and Partner Management. During this time he managed selected key customers on an international level with a special focus on the mobility sector. He developed successful new business models based on analytic solutions with implementation partners as well as with international technology partners such as Microsoft, IBM or Oracle.


TDWI Europe, Chairman of the Roundtable Nuremberg

Teaching areas

Information Systems and Statistics

especially: Data Literacy and Information Desing within the realms of Datenkompetenz Business Intelligence & Big Data, as well as applications of Artificial Intelligence in business environments


The research focus is on the design of analytical IT systems: Data Literacy, Information Design, conceptualization of integrated analytics solutions and Machine Learning in various application fields are at the core of research. Current topics include knowledge graphs and natural language processing for technology and innovation management as well as Synthetic Reasoning for Business Intelligence Applications.


Research group Future Engineering - NLP and Knowledge Graphs

Labor für Künstliche Intelligenz in der Betriebswirtschaft

Künstliche Intelligenz im OP-Management





  • Business Intelligence (BW)
  • Artificial Intelligence in Business (BW)





Bachelor and master theses can be written within the topics stated below, there are also some examples of finished theses.

Please feel free to contact me by email regarding your upcoming theses well in advance, to discuss options.

Topics (not limited to, but focus areas):

  • Business Intelligence
  • Big Data and Analytics
  • Textanalytics and Natural Language Processing
  • Artificial Intelligence, especially applications of neural networks
  • Blockchain applications

Finished theses:

  • Entwicklung eines Business-Intelligence-Prozesses zur Absatzsteigerung von technischen Prüfleistungen am Beispiel von Krankenhäusern
  • Möglichkeiten eines BI-Tools zur Automatisierung der Kennzahlenerstellung in den Bereichen Fertigung und Produktion am Beispiel der Aufzugswerke Schmitt + Sohn GmbH & Co. KG.
  • Einsatzmöglichkeiten von Smart Contracts im Supply Chain Management und deren Auswirkungen auf die Spitzenkennzahl Return on Capital Employed im Controlling
  • Technischer und wirtschaftlicher Vergleich gängiger Kryptowährungen
  • Evaluation of economic benefits inside adidas Group in Western Europe through more accurate demand planning forecast construction
  • Konzipierung eines serviceorientierten Geschäftsmodells anhand einer Automatisierungslösung im Rahmen von Industrie 4.0
  • Konzeption eines digitalisierten Prozessmodells am Praxisbeispiel des SF6-Gas-Handlings der Siemens AG - berücksichtigend der Perspektive der Circular Economy
  • Entscheidungsunterstützung für datengetriebenes Marketing mithilfe automatisierten Reporting am Beispiel von der Lidl Digital International GmbH & Co. KG
  • Process Mining am Beispiel des IT Service Managements der DATAGROUP SE
  • Entwicklung eines prototypischen Empfehlungssystems unter Einbeziehung von Machine Learning - Fallstudie in Kooperation mit der GABO mbH & Co. KG und der CHOICE GmbH zur Steuerung der Kunden im Bereich der Autovermietung



Prof. Zimmermann graduated in business administration at the Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg with a focus on Information Systems, Logistics and Controlling. He did his PhD within a research program of the DFG (Deutsche Forschungsgemeinschaft) on "Agent-based Supply Network Event Management". In 2006 he received a PhD award from the German Staedtler-Stiftung. The agent-based approach has become even more relevant today with the advent of Internet-of-Things and Industry 4.0 approaches.

Since then, he has been an active publisher with various international publications. His focus shifted during his years in the Business Intelligence industry to topics of logistics and IT-services analytics, data mining solutions and BI-as-a-Service solutions.

For an overview on relevant publications before 2019, see dblp Computer Science Bibliography


Analytical Architect for the Forschungsgruppe Future Engineering of Fraunhofer SCS

Research study "Veränderung von M&A durch Digitalisierung (2019)" for the Bundesverband Mergers & Acquisitions e.V. (BM&A)