Business Analytics

Instructors:

 

Vladimir Gorovoy,Can.Sc., Senior Lecturer, Department of Information Technologies in Management, Graduate School of Management, St.Petersburg University

Workload:

6,0 ECTS, 45 contact hours

 

Prerequisites: No

 

Aim of the Course:

 

Course is intended to introduce current IT trends to future managers and develop practical skills in the field of decision support technologies.

 

Course Content:

First part of the course introduces the role of the IT in modern enterprise. Second part of the course classifies the types of enterprise information systems.

The first two parts of the course will be enriched by visiting lecturers presenting their knowledge and practical expertise in the field of enterprise and manufacturing information systems. Third part of the course defines Business Intelligence as an enterprise wide process used in strategic and everyday decision making. Forth part of the course develops practical skills in building and deploying a complete BI solution. This part will be held in computer class, specially equipped for the course with latest BI software tools by Microsoft. Duration of labs is preliminarily considered as one third of the course’ timing.

 

Teaching Methods:

The course is based on interactive teaching style with intensive student participation. As a part of the course, students should prepare a software BI solution during their lab works.

 

Course Reading:

1. Information Technology for Management: Transforming Organizations in the Digital Economy (6th edition) by Efraim Turban , Dorothy Leidner , Ephraim McLean , James Wetherbe

2. Decision Support and Business Intelligence Systems (8th Edition) by Efraim Turban, Jay E. Aronson , Ting-Peng Liang , Ramesh Sharda  

 

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