365-1120-00L Executive Business Analytics
| Semester | Frühjahrssemester 2019 |
| Dozierende | S. Feuerriegel |
| Periodizität | jährlich wiederkehrende Veranstaltung |
| Lehrsprache | Englisch |
| Kommentar | For MAS MTEC students (second semester) but classes are together with MSc students. Students, who have already successfully completed the course “Business Analytics (363-1098-00L)” can't register again. |
| Kurzbeschreibung | This course will teach what distinguishes the varying capabilities across business analytics – namely the underlying methods. Participants will learn different strategies for data collection, data analysis, and data visualization. Sample approaches include dimension reduction of big data, data visualization, model selection, clustering and forecasting. |
| Lernziel | Forecasting: How can historical values be used to make predictions of future developments ahead of time? How can firms utilize unstructured data to facilitate the predictive performance? What are metrics to evaluate the performance of predictions? Data analysis: How can one derive explanatory power in order to study the response to an input? Clustering: How can businesses group consumers into distinct categories according to their purchase behavior? Dimension reduction: How can businesses simplify a large amount of indicators into a smaller subset with similar characteristics? |
| Inhalt | Prior to the start of the Information Age in the late 20th century, companies were forced to collect data from non-automated sources manually. Companies back then lacked the computing capabilities necessary for data to be analyzed, and as a result, decisions primarily originated not from knowledge but from intuition. With the emergence of ubiquitous computing technology, company decisions nowadays rely strongly on computer-aided “Business Analytics”. Business analytics refers to technologies that target how business information (or sometimes information in general) is collected, analyzed and presented. Combining these features results in software serving the purpose of providing better decision support for individuals, businesses and organizations. |
| Voraussetzungen / Besonderes | Students, who have already successfully completed the course “Business Analytics (363-1098-00)” can't register again. |