Next Generation Business Intelligence, 1/e

Next Generation Business Intelligence, 1/e

Authors : Rajendra M Sonar

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About the Author

Rajendra M Sonar :- Rajendra M Sonar has been with Shailesh J. Mehta School of Management, IIT Bombay, for almost 8 years. Associate Professor, Information Systems/Technology, he holds a PhD degree in Computer Science from Pune University. Knowledge-based systems and hybrid intelligent systems have been his areas of research for more than 15 years now. He is well versed with various software technologies and has published articles extensively in international journals such as Information and Software Technology, Expert Systems with Applications, national journals and in conference proceedings. Before joining IIT Bombay, he worked with National Institute of Bank Management (NIBM), Pune, as an assistant professor in IT. Prof. Sonar is also, Founder, iKen Solutions, a company incubated at IIT Bombay´s Business Incubator specializing in developing business solutions backed by hybrid artificial intelligence. iKen Solutions is a research spin-off of IIT Bombay, based on Prof. Sonar´s work.

About the Book

Business Intelligence (BI) has been successfully deployed by modern businesses to serve their customers and stakeholders. However, organizations increasingly look at BI to be all pervasive and realize its higher level of potential, instead of following it conventionally. The book covers the techniques, technologies and frameworks that can be used to build next generation BI.
  • is operational—looks into each opportunity on an on-going basis
  • works at a granular level analysing one entity, such as one
  • customer at a time
  • is integrated into operational systems
  • uses the right combination of machine and human intelligence
  • is delivered through services and
  • is acted upon in real-time or within a time frame


  • Introduction: A Next Generation BI
  • Knowledge and Knowledge Modelling
  • Web 2.0, Semantic Web and Knowledge Management
  • Introduction to Intelligent Systems
  • Hybrid Intelligent Systems
  • Filtering Techniques
  • N=1 and R=G Analytical Services
  • A Generic Knowledge-based BI Framework
  • A Software Framework Implementing KB, BIF and Case Study

Key Features

  • The book il lustrates how the web, web 2.0, semantic web, intelligent systems and filtering techniques can contribute to building next generation of intelligence
  • Unlike other books in this genre, this goes far beyond traditional BI approaches centred around technologies like OLAP, data mining and data warehouse
  • The framework is supported by case studies that have been implemented in the commercial environment successfully