✍️ 🧑‍🦱 💚 Autor:innen verdienen bei uns doppelt. Dank euch haben sie so schon 376.746 € mehr verdient. → Mehr erfahren 💪 📚 🙏

Reference Model for Business Intelligence to Predict Bankruptcy

Reference Model for Business Intelligence to Predict Bankruptcy

von Martin Aruldoss und Prasanna Venkatesan Venkatasamy
Softcover - 9783659773150
82,90 €
  • Versandkostenfrei
Auf meine Merkliste
  • Hinweis: Print on Demand. Lieferbar in 2 Tagen.
  • Lieferzeit nach Versand: ca. 1-2 Tage
  • inkl. MwSt. & Versandkosten (innerhalb Deutschlands)

Autorenfreundlich Bücher kaufen?!

Beschreibung

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.

A Stepwise Comprehensive Solution for Business Intelligence: Model, Architecture and Application

Details

Verlag LAP LAMBERT Academic Publishing
Ersterscheinung 01. September 2015
Maße 22 cm x 15 cm x 1.7 cm
Gewicht 423 Gramm
Format Softcover
ISBN-13 9783659773150
Seiten 272