IIM Ahmedabad

Advanced Analytics for Management
Program Director: Prof. Rajanish Dass & Prof. Tathagata Bandyopadhyay
April 19-21, 2007
At IIM Ahmedabad
Fees: Rs. 30,000 (US$ 850 for participants from other countries)

Objectives: Currently, huge electronic data repositories are being maintained by businesses across the globe. Valuable bits of information are embedded in these data repositories. The huge size of these data sources make it impossible for a human analyst to come up with interesting information that will help in the decision making process.
Eventually, a number of companies have now understood the importance of advanced analytic techniques and the corresponding link to their value proposition. Moreover, the program would also like to point out the upcoming areas of analytics and show where the future business lies.

Business Intelligence focuses on discovering knowledge from various electronic data repositories, both internal and external, to support better decision making. Data mining techniques become important for this knowledge discovery from databases. In recent years, business intelligence systems have played pivotal roles in helping organizations to fine tune business goals such as improving customer retention, market penetration, profitability and efficiency. In most cases, these insights are driven by analyses of historical data.

This course will equip the participants with the concepts and techniques of data mining and other advanced analytical techniques. The program will also focus on how to use these techniques to fine tune business goals and enhance decision making with informed choices. The course will also update the participants about how these techniques are being extensively used in real-life for better decision making in risk mitigation, supply chain management, customer acquisition and retention and a host of other application areas.

For: The programme is intended for enabling practitioners, managers and decision makers for using advanced analytics for better decision making and in-depth understanding of these concepts using hands-on technique(s) and relating to business cases. The program may also be of interest to participants from various analytics organizations to better understand the underlying concepts of these advanced techniques.

Contents: The following topics will be covered (but will not be limited to) in the programme: -