Win with Advanced Business Analytics: Creating Business Value from Your Data
- 6h 38m
- Jean Paul Isson, Jesse Harriott
- John Wiley & Sons (US)
- 2013
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.
About the Authors
Jean Paul Isson is an internationally recognized speaker and expert in advanced business analytics. He is the global vice president of business intelligence and predictive analytics at Monster Worldwide, Inc., having built the global business intelligence team from the ground up. He has successfully conceived and implemented global customer scoring/segmentation, predictive modeling, and Web-mining applications for Monster across North America, Europe, and the Asia-Pacific.
Prior to joining Monster, Isson led the global customer behavior modeling team at Rogers Wireless, where he pioneered advanced business analytics, including conjoint analysis for new price plans offering and the Customer Life Time Value (CLTV) Segmentation that is being used to prioritize customer services sales and marketing activities. He started his career as a statistician and holds a master's degree in mathematics and applied statistics from the University of Paris 6 in France.
Isson has been a speaker for TDWI (The Data Warehousing Institute), Forbes, SAS data-mining conferences, the Premier Business Leadership Series, Measure Up, Predictive Analytics World, IT World Canada, IT Business, 1 to 1 Media, IQCP, eMetrics Marketing Optimization Summit/SMX, and at other SAS and IDC events. He has more than 17 years of experience in advanced business analytics, focusing on customer behavior modeling, scoring, and market segmentation.
Dr. Jesse Harriott has been a research and analytics professional for more than 20 years and has held various client- and supplier-side analytics leadership positions. He is currently chief analytics officer at Constant Contact, an online marketing solutions company that helps more than 500,000 organizations generate repeat business and referrals through e-mail marketing, social media marketing, event marketing, local deals, and online surveys. Prior to Constant Contact, Harriott was the chief knowledge officer for Monster Worldwide, Inc., where he conceived and built a global analytics business division focused on the human capital marketplace in the United States, Europe, and Asia. Dr. Harriott also pioneered the creation of the Monster Employment Index, the first measure of online recruitment activity, which is currently in more than 30 countries and is followed by millions of people each month. He also led Web analytics, business intelligence, competitive intelligence, data governance, marketing research, and sales analytics departments for Monster.
Prior to Monster, Dr. Harriott created an analytics consulting practice for the e-commerce company Gomez, Inc., where his team led projects for Internet start-ups and well-known brands, including Orbitz.com, WebMD, and Fidelity. He has advised many private and public organizations regarding analytics and labor market issues, including the White House, the Department of Labor, the European Commission, the Federal Reserve, the National Governors Association, the Clinton Global Initiative, and various U.S. senators. He has authored several publications, including as coauthor of the book Finding Keepers, which has been published in North America, South America, Europe, and Asia and discusses the challenges faced by companies in today's talent market. Jesse has also taught at the University of Chicago and holds an MA and a PhD in Experimental Psychology from DePaul University. He has appeared in various media outlets, including CNBC, the Wall Street Journal, the New York Times, CBS radio, Bloomberg, and Reuters. Dr. Harriott has won several awards, including the Platinum Award from PR News and an Ogilvy Award from the Advertising Research Foundation, and was named by the Boston Business Journal as one of Boston's top 40 under 40.
In this Book
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The Challenge of Business Analytics
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Pillars of Business Analytics Success—The BASP Framework
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Aligning Key Business Challenges across the Enterprise
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Big and Little Data—Different Types of Intelligence
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Who Cares about Data?—How to Uncover Insights
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Data Visualization—Presenting Information Clearly—The CONVINCE Framework
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Analytics Implementation—What Works and What Does Not
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Voice-of-the-Customer Analytics and Insights
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Leveraging Digital Analytics Effectively
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Effective Predictive Analytics—What Works and What Does Not
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Predictive Analytics Applied to Human Resources
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Social Media Analytics
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The Competitive Intelligence Mandate
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Mobile Analytics
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Effective Analytics Communication Strategies
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Business Performance Tracking—Execution and Measurement
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Analytics and Innovation
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Unstructured Data Analytics—The Next Frontier
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The Future of Analytics