CITNEZINE |
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A newsletter from the Srini Raju Centre for IT and the Networked Economy (SRITNE)
Issue III, October 2009
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Industry Connect
Does BI add value to the Indian Retail Industry?
Arun O Gupta – Customer Care Associate & Group Chief Technology Officer, Shoppers Stop talks about relevance of BI tools in the retail segment
15% of IT budget at Shoppers Stop goes in Business Intelligence and Data Warehousing. With international retailers coming in India, the competition would only be more intense. As always, the key would lie in knowing the consumer. Read about Shoppers Stop BI journey, which the Group CTO describes as: Exciting and Topsy-Turvy
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Faculty Research & Case Study
Professor Ravi Bapna investigates on Data Warehousing as a Strategic Tool at Bharati Airtel in a case study.
In today’s information age organisations face mammoth challenges in managing and effectively using the information available to them. Bharti Airtel’s case highlights the day to day operational challenges faced by rapidly growing organisations, which strive to use information as a source of competitive advantage.
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Pacific Asia Conference on Information System
SRITNE at ISB hosted the premiere Pacific Asia Conference on Information System from July 10-12 for the first time in India
The conference theme was ‘IT services in a Global Environment’. The conference saw academic paper presentations, poster sessions, a doctoral consortium and panel discussions. Some of the renowned panelists were Manish Sabharwal, Teamlease; S Sivakumar, ITC; Hari Kumar, Deloitte, social entrepreneurs like Dr. Balaji Utla, HMRI besides other business luminaries. The conference brought research scholars and executives from the industry together.
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Student's Corner
Experiential Learning Programme (ELP) for the PGP students allows them to work in teams with the industry on real world business issues. ELPs give them a chance to apply the learning outside classroom settings and gain new perspectives on business and major global issues. The objective of our project was to identify the core data mining applications required by the retail sector. Specifically, the project involves the following:
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