DATA SCIENCE: HOW DATA BECOMES DECISIONS

Prof. Dr. Michael Lenke, head of the KBS, provides an insight into the world of data.

A portrait of Prof. Dr. Michael Lenke wearing glasses. He smiles.
18.05.2021
Data Science
Startseite » News » DATA SCIENCE: HOW DATA BECOMES DECISIONS

A lot of data is constantly being generated in every company. The task of a data scientist is to collect, link and process this volume of data in order to be able to make well-founded decisions in the company based on it. In October, the part-time certificate course Data Science and Business Analytics will start again at Kempten Business School. Prof. Dr. Michael Lenke, head of the KBS, provides an insight into the world of data.

Prof. Dr. Michael Lenke, what does the term Data Science mean?
Prof. Dr. Michael Lenke: In addition to the classic corporate data from ERP, production and logistics, data from social media, the Internet of Things or other public sources must also be included in corporate analysis today. This amount of generated data is increasing rapidly. Data Science is not just about capturing data technically. In order to draw concrete conclusions, the data must be brought together, correlated, processed and analyzed. The science of data should thus support decision-making at all levels of the company.

How can companies benefit from data science and business analytics?
Prof. Dr. Michael Lenke: It usually starts with a specific question. The answer can be found in the company’s data, but often not all responsible persons have sufficient access to it. The first step is to identify where the data should come from and what quality it should have. Data analysis can also identify hidden errors in the data situation and use this knowledge to improve corresponding processes in the company. With the help of artificial intelligence rules, difficulties in deliveries can be predicted and possibly avoided. New technologies such as big data, data mining, predictive maintenance, machine learning and graphical visualizations also offer innovative approaches to solutions and are part of data science and business analytics.

For whom is the Data Science and Business Analytics certificate course suitable?
Prof. Dr. Michael Lenke: In the part-time Data Science and Business Analytics certificate course, participants learn to collect, process and analyze data volumes. The participants come from a wide variety of industries: For example, from banking, mechanical engineering companies, hospitals, media companies, international logistics companies or humanitarian aid organizations. The mix of participants means that they not only benefit from the content of the course, but also from each other. When participants come to the certificate course from their companies, theory meets practice. They get to know tools as well as procedures and also go into depth in a very short time. The exchange of ideas during the case discussions, as well as the discussions among each other, directly contribute to the solution of current and upcoming projects in the company of the participants.

The successful in-service certificate course in Data Science and Business Analytics will start again in October. There are still a few places available for the course. Registration is possible until July 15.