Dr. Nicolas Bissantz
AI pioneer, software businessman, visualization expert, author, speaker
Pioneer of business intelligence with AI
Dr. Nicolas Bissantz brings together business intelligence, AI and data visualization – scientifically sound, entrepreneurially proven
Dr. Nicolas Bissantz completed his doctorate from 1993 to 1996 at Friedrich-Alexander University Erlangen-Nuremberg (FAU) in the Department of Business Informatics. During his doctoral studies, he focused on the automation of operational data analysis. Together with his colleague and now co-managing partner Dipl.-Inf. Michael Westphal, he developed fundamental concepts for the algorithmic support of controlling processes.
Dr. Bissantz is thus one of the leading minds in business intelligence in the German-speaking area. He was one of the first to work methodically with data mining, neural networks and rule-based AI in controlling. Early on, he systematically incorporated mathematics, statistics, machine learning and modern query languages into business analyses. His work is also based on neurobiological findings on human perception, from which clear design rules for reports and dashboards emerge.
AI in controlling
AI is helpful when it noticeably reduces the workload in everyday controlling tasks: in routines, explanations, preparing analyses – and especially where complexity slows down decision-making. Dr. Nicolas Bissantz has a background in AI research in controlling and consistently translates the topic into practical applications.
Research
Visualization in business intelligence is interpretation guidance. Dr. Nicolas Bissantz approaches perception from a neurobiological perspective: What do people grasp immediately – and where do misunderstandings arise? This results in visualizations that shorten discussions, clarify responsibilities and lead to faster decisions.
Business intelligence
For Dr. Nicolas Bissantz, BI is not just about gathering data, but rather about creating a solid framework for organizing complex information and making informed decisions. Good BI therefore not only answers “What is in the data?”, but more importantly: “What does it mean?” and “What do we do now?”