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Bankruptcy is a financial failure of a business or an organization. It leads to catastrophic results to the whole community. Different kinds of bankruptcy prediction techniques are proposed to predict it. But, they are restricted as techniques in predicting the bankruptcy and not addressing the associated activities like acquiring the suitable data and delivering the results to the user after processing it. This situation demands to look for a comprehensive solution for predicting bankruptcy with intelligence. In this book, to model a comprehensive intelligence solution for bankruptcy prediction a Reference Model for buSiness inTelligence to prEdict bankruPtcy (RM-STEP) is designed by applying unit operations as hierarchical structure with abstract components. To realize the proposed reference model, ARCHitecture for buSiness inTelligence to prEdict bankruPtcy (ARCH-STEP) has been designed. Research experiment is designed for ARCH-STEP and the architectural experience of applying RM-STEP is reported. This book is essential toolkit for bankers, business executives, software architects, BI professionals and researchers who wish to provide the BI solution for various domains.
About the author
Aruldoss Martin received the Ph.D. in CSE(Banking Technology). His research interests include business intelligence and multi-criteria reporting and received 129 citations for his publications in these areas since 2010. Venkatasamy Prasanna Venkatesan received Ph.D(CSE). He has 20+ years of teaching experience and received more than 200 citations.
