商品簡介
Plain English guidance for strategic business analytics and big data implementation
In 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 business
Companies 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.
作者簡介
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, ans sales analytics departments for Monster. Jesse has taught at the University of Chicago and was named one of Boston's Top 40 Under 40.
目次
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 InsightsAbhilasha Mehta, PhD
Chapter 9 Leveraging Digital Analytics EffectivelyJudah Phillips
Chapter 10 Winning with Predictive Analytics: What Works and What Does Not
Chapter 11 Predictive Analytics Applied to Human ResourcesJac Fitz-enz, Ph.D.
Chapter 12 Social Media AnalyticsJudah Phillips
Chapter 13 The Competitive Intelligence Mandate
Chapter 14 Mobile AnalyticsJudah 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
