Business Intelligence: A Managerial Perspective on Analytics, Global Edition
3rd Edition
Published on 23. April 2014
Book
Paperback/Softback
416 pages
978-1-292-00487-7 (ISBN)
Description
For courses on Business Intelligence or Decision Support Systems.
A managerial approach to understanding business intelligence systems.
To help future managers use and understand analytics, Business Intelligence provides students with a solid foundation of BI that is reinforced with hands-on practice.
A managerial approach to understanding business intelligence systems.
To help future managers use and understand analytics, Business Intelligence provides students with a solid foundation of BI that is reinforced with hands-on practice.
More details
Edition
3rd edition
Language
English
Place of publication
Harlow
United Kingdom
Target group
Professional and scholarly
Dimensions
Height: 254 mm
Width: 203 mm
Thickness: 19 mm
Weight
773 gr
ISBN-13
978-1-292-00487-7 (9781292004877)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
Ramesh Sharda | Dursun Delen | Efraim Turban
Business Intelligence: A Managerial Approach, Global Edition
Book
11/2017
4th Edition
Pearson Education Limited
€101.69
Shipment within 10-20 days
Previous edition
Efraim Turban | Ramesh Sharda | Dursun Delen
Business Intelligence: Pearson New International Edition
Book
07/2013
2nd Edition
Pearson Education Limited
€49.51
Article exhausted; check for reprint
Content
Chapter 1. An Overview of Business Intelligence, Analytics and Decision Support
Chapter 2. Data Warehousing
Chapter 3. Business Reporting, Visual Analytics & Business Performance Management
Chapter 4. Data Mining
Chapter 5. Text, Web, and Social Analytics
Chapter 6. Big Data and Analytics
Chapter 7. Business Analytics: Emerging Trends and Future Directions
Chapter 2. Data Warehousing
Chapter 3. Business Reporting, Visual Analytics & Business Performance Management
Chapter 4. Data Mining
Chapter 5. Text, Web, and Social Analytics
Chapter 6. Big Data and Analytics
Chapter 7. Business Analytics: Emerging Trends and Future Directions