Isson / Harriott Win with Advanced Business Analytics
1. Auflage 2012
ISBN: 978-1-118-42051-5
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
Creating Business Value from Your Data
E-Book, Englisch, 416 Seiten, E-Book
Reihe: SAS Institute Inc
ISBN: 978-1-118-42051-5
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
Plain English guidance for strategic business analytics and bigdata implementation
In today's challenging economy, business analytics and big datahave become more and more ubiquitous. While some businesses don'teven know where to start, others are struggling to move from beyondbasic reporting. In some instances management and executives do notsee the value of analytics or have a clear understanding ofbusiness analytics vision mandate and benefits. Win withAdvanced Analytics focuses on integrating multiple types ofintelligence, such as web analytics, customer feedback, competitiveintelligence, customer behavior, and industry intelligence intoyour business practice.
* Provides the essential concept and framework to implementbusiness analytics
* Written clearly for a nontechnical audience
* Filled with case studies across a variety of industries
* Uniquely focuses on integrating multiple types of big dataintelligence into your business
Companies now operate on a global scale and are inundated with alarge volume of data from multiple locations and sources: B2B data,B2C data, traffic data, transactional data, third party vendordata, macroeconomic data, etc. Packed with case studies frommultiple countries across a variety of industries, Win withAdvanced Analytics provides a comprehensive framework andapplications of how to leverage business analytics/big data tooutpace the competition.
Autoren/Hrsg.
Weitere Infos & Material
Preface
Acknowledgments
Chapter 1 The Challenge of Business Analytics
Chapter 2 Pillars of Business Analytics Success: The BASP Framework
Chapter 3 Aligning Key Business Challenges across the Enterprise
Chapter 4 Big and Little Data: Different Types of Intelligence
Chapter 5 Who Cares About Data?: How to Uncover Insights
Chapter 6 Data Visualization: Presenting Information Clearly-The CONVINCE Framework
Chapter 7 Analytics Implementation: What Works and What Does Not
Chapter 8 Voice-of-the-Customer Analytics and Insights
Abhilasha Mehta, PhD
Chapter 9 Leveraging Digital Analytics Effectively
Judah Phillips
Chapter 10 Winning with Predictive Analytics: What Works and What Does Not
Chapter 11 Predictive Analytics Applied to Human Resources
Jac Fitz-enz, Ph.D.
Chapter 12 Social Media Analytics
Judah Phillips
Chapter 13 The Competitive Intelligence Mandate
Chapter 14 Mobile Analytics
Judah Phillips
Chapter 15 Effective Analytics Communication Strategies
Chapter 16 Business Performance Tracking: Execution and Measurement
Chapter 17 Analytics and Innovation
Chapter 18 Unstructured Data Analytics: The Next Frontier
Chapter 19 Future of Analytics
About the Authors