Win With Advanced Business Analytics - Creating Business Value From Your Data

Informationen zum Autor JEAN PAUL ISSON is an internationally recognized speaker and an expert in advanced business analytics. He is Global Vice President of BI and predictive analytics at Monster Worldwide, Inc., where he has built his team from the ground up and successfully conceived and implemented advanced analytics and web mining solutions. Prior to joining Monster, Isson led the global customer behavior modeling team at Rogers Wireless, implementing churn models and pioneering the Customer Lifetime Value segmentation to optimize services marketing and sales activities. JESSE S. HARRIOTT, PHD, is Chief Analytics Officer for Constant Contact. Previously, Jesse was Chief Knowledge Officer at Monster Worldwide where he helped drive annual revenue from $300 million to over $1.3 billion. Harriott started an international analytics division at Monster and created the Monster Employment Index, now tracked in the United States, Europe, and Asia by millions of people. He also led web analytics, business intelligence, competitive intelligence, data governance, marketing research, and sales analytics departments for Monster. Jesse has taught at the University of Chicago and was named one of Boston's Top 40 Under 40. Klappentext Plain English guidance for strategic business analytics and big data implementationIn today's challenging economy, business analytics and big data have become more and more ubiquitous. While some businesses don't even know where to start, others are struggling to move from beyond basic reporting. In some instances management and executives do not see the value of analytics or have a clear understanding of business analytics vision mandate and benefits. Win with Advanced Analytics focuses on integrating multiple types of intelligence, such as web analytics, customer feedback, competitive intelligence, customer behavior, and industry intelligence into your business practice.* Provides the essential concept and framework to implement business analytics* Written clearly for a nontechnical audience* Filled with case studies across a variety of industries* Uniquely focuses on integrating multiple types of big data intelligence into your businessCompanies now operate on a global scale and are inundated with a large volume of data from multiple locations and sources: B2B data, B2C data, traffic data, transactional data, third party vendor data, macroeconomic data, etc. Packed with case studies from multiple countries across a variety of industries, Win with Advanced Analytics provides a comprehensive framework and applications of how to leverage business analytics/big data to outpace the competition. Zusammenfassung Plain English guidance for strategic business analytics and big data implementationIn today's challenging economy, business analytics and big data have become more and more ubiquitous. While some businesses don't even know where to start, others are struggling to move from beyond basic reporting. In some instances management and executives do not see the value of analytics or have a clear understanding of business analytics vision mandate and benefits. Win with Advanced Analytics focuses on integrating multiple types of intelligence, such as web analytics, customer feedback, competitive intelligence, customer behavior, and industry intelligence into your business practice.* Provides the essential concept and framework to implement business analytics* Written clearly for a nontechnical audience* Filled with case studies across a variety of industries* Uniquely focuses on integrating multiple types of big data intelligence into your businessCompanies now operate on a global scale and are inundated with a large volume of data from multiple locations and sources: B2B data, B2C data, traffic data, transactional data, third party vendor data, macroeconomic data, etc. Packed with case studies from multiple countries across a variety of industrie...

Sommario

Preface xv
 
Acknowledgments xvii
 
Chapter 1 The Challenge of Business Analytics 1
 
The Challenge from Outside 5
 
The Challenge from Within 9
 
Chapter 2 Pillars of Business Analytics Success: The BASP Framework 15
 
Business Challenges Pillar 18
 
Data Foundation Pillar 20
 
Analytics Implementation Pillar 22
 
Insight Pillar 26
 
Execution and Measurement Pillar 29
 
Distributed Knowledge Pillar 31
 
Innovation Pillar 32
 
Conclusion 33
 
Chapter 3 Aligning Key Business Challenges across the Enterprise 35
 
Mission Statement 36
 
Business Challenge 38
 
Identifying Business Challenges as a Consultative Process 39
 
Identify and Prioritize Business Challenges 41
 
Analytics Solutions for Business Challenges 45
 
Chapter 4 Big and Little Data: Different Types of Intelligence 51
 
Big Data 57
 
Little Data 61
 
Laying the Data Foundation: Data Quality 62
 
Data Sources and Locations 65
 
Data Definition and Governance 69
 
Data Dictionary and Data Key Users 72
 
Sanity Check and Data Visualization 72
 
Customer Data Integration and Data Management 73
 
Data Privacy 74
 
Chapter 5 Who Cares about Data?
 
How to Uncover Insights 77
 
The IMPACT Cycle 79
 
Curiosity Can Kill the Cat 82
 
Master the Data 86
 
A Fact in Search of Meaning 87
 
Actions Speak Louder Than Data 88
 
"Eat Like a Bird, Poop Like an Elephant" 89
 
Track Your Outcomes 91
 
The IMPACT Cycle in Action: The Monster Employment Index 92
 
Chapter 6 Data Visualization: Presenting Information
 
Clearly: The CONVINCE Framework 95
 
Convey Meaning 97
 
Objectivity: Be True to Your Data 99
 
Necessity: Don't Boil the Ocean 101
 
Visual Honesty: Size Matters 103
 
Imagine the Audience 104
 
Nimble: No Death by 1,000 Graphs 107
 
Context 107
 
Encourage Interaction 109
 
Conclusion 109
 
Chapter 7 Analytics Implementation: What Works and What Does Not 113
 
Analytics Implementation Model 117
 
Vision and Mandate 118
 
Strategy 119
 
Organizational Collaboration 121
 
Human Capital 122
 
Metrics and Measurement 123
 
Integrated Processes 124
 
Customer Experience 125
 
Technology and Tools 125
 
Change Management 126
 
Chapter 8 Voice-of-the-Customer Analytics and Insights 131
 
By Abhilasha Mehta, PhD
 
Customer Feedback Is Invaluable 132
 
The Makings of an Effective Voice-of-the-Customer Program 137
 
Strategy and Elements of the VOC System 152
 
Common VOC Program Pitfalls 162
 
Chapter 9 Leveraging Digital Analytics Effectively 165
 
By Judah Phillips
 
Strategic and Tactical Use of Digital Analytics 173
 
Understanding Digital Analytics Concepts 174
 
Digital Analytics Team: People Are Most Important for Analytical Success 184
 
Digital Analytics Tools 187
 
Advanced Digital Analytics 191
 
Digital Analytics and Voice of the Customer 192
 
Analytics of Site and Landing Page Optimization 194
 
Call to Action: Unify Traditional and Digital Analytics 195
 
Chapter 10 Effective Predictive Analytics: What Works and What Does Not 199
 
What Is Predictive Analytics? 201
 
Unlocking Stage 203
 
Prediction Stage 206
 
Optimization Stage 210
 
Diverse Applications for Diverse

Dettagli sul prodotto

• Autori: Harriott, Jesse Harriott, Harriott Jesse, Isson, Jean Paul Isson, Jean Paul Harriott Isson, Jean-Pau Isson, Jean-Paul Isson, Jean-Paul Harriott Isson, Jean-paul/ Harriott Isson, Jp Isson
• Editore: Wiley, John and Sons Ltd
• Lingue: Inglese
• Formato: Copertina rigida
• Pubblicazione: 26.10.2012
• EAN: 9781118370605
• ISBN: 978-1-118-37060-5
• Pagine: 416
• Serie: SAS Institute Inc; Wiley and SAS Business Series; Wiley and SAS Business; SAS Institute Inc; Wiley and SAS Business Series; Wiley & SAS Business
• Categorie: Scienze sociali, diritto, economia > Economia > Management; Strategisches Management, Business & management, Strategic management, Wirtschaft u. Management