Information Systems and Business Analytics
Transfer
Information Systems and Business Analytics 

Transfer

We work closely with industry partners on research related to AI-driven value creation, supporting the development of their products and services as well as their customer interactions in the digital world. Companies benefit from innovative solutions in analytics, customer engagement, and digitalization. In return, our research team gains access to data and intelligent products and can regularly validate results through field studies and pilot projects, publishing findings in scientific outlets (including the Journal of Strategic Information Systems and California Management Review) that have received multiple awards.
An overview of our cooperation projects can be found on the pages of the Bits to Energy Lab, a joint initiative with ETH Zurich and the University of St. Gallen where much of our work is conducted.

Transfer activities

News

Deniz Oruç Çelik will present initial findings from his study on career success among data scientists at the TDWI Conference in Munich (23–25 June 2026). The contribution, “The Overlooked Profession in the Age of AI? Initial Insights into Data Science Career Success,” examines which observable career factors can explain professional success in the data science occupation. Based on professional networking data, the study shows how established predictors from career research can be used to analyse an emerging IT profession.

Prof. Dr. Konstantin Hopf and Deniz Oruç Çelik will present the talk “Crafting AI: Tensions Between Data Science Craftsmanship and Management Expectations” at data2day 2026 in Cologne. The contribution examines why data science and AI projects in organizations often fail to deliver the expected value. It focuses on the tension between management expectations of technically plannable AI solutions and the craft-based, exploratory nature of practical data science work. Based on more than 100 interviews, the talk presents 15 tactics for more effective management of AI projects.

Two articles were published in the Heise AI column this year. In the article AI Navigator #13: Artificial Intelligence Overtakes the Daily, Heise AI Column 08/2025, Konstantin Hopf, Karoline Glaser (TU Dresden) and Daniel Dorsch (QualityMinds GmbH) describe the influence of AI on agile working methods. In the article AI Navigator #9: Between creativity and predictability 01/2025, Konstantin Hopf describes the tension between management expectations and practical implementation in data science projects.

The AI Navigator Conference is the meeting place for the professional application of AI in companies and organisations and its impact on politics, business and society. Marcel Merkel spoke about the working practices of data scientists at the interface between specialist departments, IT and data in his presentation ‘AI and the rest of the world: Successful collaboration in data science projects’. Dr Konstantin Hopf held a full-day training course ‘From data to decisions – Machine learning as an analysis tool in companies’.