Course in Business Intelligence Tools and Techniques II

At IIM-C we firmly believe that information is power. In the years to come the need for increased sharing of information will govern the changes in organizational structure. A basic understanding of information systems is thus mandatory. We endeavor to ensure that you drive the e-commerce revolution. These courses not only equip you with software tools but also impart an understanding of the hardware which will help you set design your own database. It's time you started your own dotcom at IIMC.
Course Objectives

Course Objective:

This course provides a holistic overview and understanding of Business Intelligence.
Course Content

It gives a comprehensive overview of all the major areas of study such as Competitive Intelligence, Knowledge Management, Data Warehousing and Data Mining, which are related to or constitute the area of Business Intelligence. In this course, the students are exposed to the need of BI and how to tackle the quest for gaining intelligence successfully. The major aspect of the course will be on showing various applications of Business Intelligence in various facets of today's management. The course also emphasizes on the knowledge discovered from the data as a strategic asset for the organization and looks into how it can be used for Competitive Intelligence (CI) in today's world of cut-throat competition.

The course will make the students go through a number of articles and cases related to Business Intelligence and will encourage class-room discussion on how Business Intelligence can creep into other areas of decision making as well. Hands on sessions will also be conducted on SAS data mining software.

In brief, this course is aimed at helping students understand and appreciate the following:

1. Explain the nature and role of business intelligence in contributing to the delivery of business value in modern organizations.
2. Understand the key processes underlying competitive intelligence and learn the tools & techniques of competitive intelligence
3. Distinguish between the concepts of knowledge Management and Business intelligence.
4. Relate the business intelligence environment, specifically data warehousing and data mining, to different organizational contexts.
5. Explain the need for a data integration process, data profiling, data cleansing and data enhancement, and their contribution to adding value to data
6. Application of Business Intelligence to various facets of Management like: Marketing, Strategy and Finance.

Pedagogy:

Classroom Lectures, Case Discussions, Presentations and Lab sessions.