Business Analytics: Research Seminar (Winter Term)

Business Analytics: Research Seminar (Winter Term 2022/2023)

Business analytics (BA) is a systematic approach that applies qualitative, quantitative, and statistical computational tools and methods to analyze data, gain insights, inform, and support decision-making. In this respect, methods from the field of machine learning (ML) have gained particular attention as they give computers the ability to perform tasks without being explicitly programmed to do so. Advances in ML enable the development of intelligent systems with human-like cognitive capacity that penetrate our business and personal life in every conceivable way. This is demonstrated by many diverse examples, such as fraud detection, predictive maintenance, credit scoring, next-best offer analysis, speech and image recognition, or natural language processing.

In this research seminar, students will get to know business analytics as a scientific research field. In introductory block lessons, students will learn about the process of developing research ideas, strategies to efficiently pursue these research ideas, and guidelines on how to clearly convey their ideas in a research paper. Students will also get to know the publication process of research papers. After these introductory lessons, students will jump into the shoes of reviewers. For this, each participant will choose a research paper from a given pool of papers from the fields of computer science or information systems. Each paper will then be summarized, critically reviewed, and presented by the students and discussed in detail by all participants.