03-use-cases-notes - European and Mediterranean Conference...

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European and Mediterranean Conference on Information Systems 2010 ( EMCIS2010 ) April 12-13 2009, Abu Dhabi, UAE Agha Khan et al Drivers and Barriers to Business Intelligence Adoption: A Case of Pakistan 1 DRIVERS AND BARRIERS TO BUSINESS INTELLIGENCE ADOPTION: A CASE OF PAKISTAN Agha Muhammad Ali Khan , Westminster Business School, University of Westminster, UK agha.khan@my.westminster.ac.uk Nadia Amin , Westminster Business School, University of Westminster, UK aminn@westminster.ac.uk Nick Lambrou , Westminster Business School, University of Westminster, UK lambrox@westminster.ac.uk Abstract This research project deals with the Drivers and Barriers to Business Intelligence Adoption. The Drivers and Barrier Methodology (DBM) is a useful tool for measuring how a particular technology such as Business Intelligence (BI) brings tangible benefits to a business enterprise such as a Consumer Bank or Telecommunications Company. This research helps us determine the key factors which force a company to adopt a certain technology and at the same time points out likely impediments and road blocks on the path to successful project completion. A previous body of work both on DBM and on the vast amount of research done in the domain of Business Intelligence and Data warehousing is used as foundation for this research project. A case of Pakistan is used apply the aforementioned methodolgy. The research concludes that depending on a secific user type such as a Power user, IT User or Business user a ’peculiar preference’ in drivers and unique aversion to barriers exist. The challenges and problems faced at each step of the adoption cycle are also highlighted.The findings provide valuable recommendations to application designers, IT Vendors, business analysts, marketers and solution providers. Keywords: Drivers and Barriers, Business Intelligence, Information Technology Adoption Cycle, IT Case Study, CIO Interviews, Information Technology Strategy, Business Analytics, Data warehousing, Data –Driven Decision making, Business Applications, IT Solution Selling, Marketing, Customer Insight, Data Mining. 1. INTRODUCTION More and more organizations are turning to data driven decision making to address the challenges of complex business decisions. Firms are piling huge amounts of data with little insight into the behaviour of their customers. Vast amounts of data presents problems of complexity and is hard to analyse by business managers unless a Business Intelligence (BI) application is in place aggregating, analysing and storing mountains of corporate data collected by organizations on their customers (Turban, Sharda, Aronson and King, 2008) . The paper explains investigates the key factors that force a company to adopt a certain technology. It also explores the barriers that come in the way of new IT motions such as Customer Relationship Management (CRM) implementation or other projects. The objectives of the research are threefold:
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03-use-cases-notes - European and Mediterranean Conference...

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