Business Intelligence for Business Development

Wendy Witte

ISBN 10: 1632400928 / ISBN 13: 9781632400925

Published by ML Books International - IPS, 2015

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - This book aims to help specialists in the field of informatics, with preoccupations in development of Business Intelligence systems, and to the beneficiaries of the same systems, comprising an essential scientific contribution. Specialists of this field contribute their new ideas and theories concerning the development of Business Intelligence applications and their adoption in organizations. The book presents an overview of Business Intelligence and an in-depth analysis of present applications and forthcoming new ways for this technology. It encompasses a wide range; inclusive of methods, concepts, and case studies regarding: formulating an enterprise business intelligence maturity model, establishing an agile architecture framework that leverages the strengths of business intelligence, decision management and service orientation, data mining based on neural networks.

Seller Inventory # 9781632400925

Bibliographic Details

• Title: Business Intelligence for Business Development
• Publisher: ML Books International - IPS
• Publication Date: 2015
• Language: English
• ISBN 10: 1632400928
• ISBN 13: 9781632400925
• Binding: Buch
• Condition: Neu
• Dimensions: 235W x 157H x 11D millimeters 235 millimeters width by 157 millimeters height by 11 millimeters depth
• Weight: 336 grams

About this title

Synopsis

This book aims to help specialists in the field of informatics, with preoccupations in development of Business Intelligence systems, and to the beneficiaries of the same systems, comprising an essential scientific contribution. Specialists of this field contribute their new ideas and theories concerning the development of Business Intelligence applications and their adoption in organizations. The book presents an overview of Business Intelligence and an in-depth analysis of present applications and forthcoming new ways for this technology. It encompasses a wide range; inclusive of methods, concepts, and case studies regarding: formulating an enterprise business intelligence maturity model, establishing an agile architecture framework that leverages the strengths of business intelligence, decision management and service orientation, data mining based on neural networks.