DE

Modul

Service Analytics [M-WIWI-101506]

Credits
9
Recurrence
Jedes Semester
Duration
2 Semester
Language
German
Level
4
Version
9

Responsible

Organisation

  • KIT-Fakultät für Wirtschaftswissenschaften

Part of

Bricks

Identifier Name LP
T-WIWI-105777 Business Intelligence Systems 4.5
T-WIWI-111219 Artificial Intelligence in Service Systems - Applications in Computer Vision 4.5
T-WIWI-112152 Practical Seminar: Artificial Intelligence in Service Systems 4.5
T-WIWI-109940 Special Topics in Information Systems 4.5
T-WIWI-102899 Modeling and Analyzing Consumer Behavior with R 4.5
T-WIWI-105778 Service Analytics A 4.5
T-WIWI-102822 Industrial Services 4.5
T-WIWI-108715 Artificial Intelligence in Service Systems 4.5

Competence Certificate

The assessment is carried out as partial exams (according to Section 4 (2), 1-3 SPO) of the core course and further single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. The assessment procedures are described for each course of the module separately.

The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal

Students

  • knows the theoretical bases and the key components of Business Intelligence systems,

  • acquires the basic skills to make use of business intelligence and analytics software in the service context

  • are introduced into various application scenarios of analytics in the service context

  • are able to distinguish different analytics methods and apply them in context

  • learn how to apply analytics software in the service context

  • are trained for the structured compilation and solution of practice relevant problems with the help of commercial business intelligence software packages as well as analytics methods and tools

Prerequisites

None

Content

The importance of services in modern economies is most evident – nearly 70% of gross value added are achieved in the tertiary sector and a growing number of industrial enterprises add customer specific services to their material goods or transform their business models fundamentally. The growing availability of data “Big Data” and their intelligent processing by applying analytic methods and business intelligence systems plays a key role.

It is the goal of the module to give students a comprehensive overview on the subject Business Intelligence & Analytics focusing on service issues. Various scenarios illustrate how the methods and systems introduced help to improve existing services or create innovative data-based services.

Recommendation

The course Service Analytics A [2595501] should be taken.

Workload

The total workload for this module is approximately 270 hours. For further information see German version.