Unstructured Data Analytics: How to Improve Customer Acquisition, Customer Retention, and Fraud Detection and Prevention

Turn unstructured data into valuable business insight

Unstructured Data Analytics provides an accessible, non-technical introduction to the analysis of unstructured data. Written by global experts in the analytics space, this book presents unstructured data analysis (UDA) concepts in a practical way, highlighting the broad scope of applications across industries, companies, and business functions. The discussion covers key aspects of UDA implementation, beginning with an explanation of the data and the information it provides, then moving into a holistic framework for implementation. Case studies show how real-world companies are leveraging UDA in security and customer management, and provide clear examples of both traditional business applications and newer, more innovative practices.

Roughly 80 percent of today's data is unstructured in the form of emails, chats, social media, audio, and video. These data assets contain a wealth of valuable information that can be used to great advantage, but accessing that data in a meaningful way remains a challenge for many companies. This book provides the baseline knowledge and the practical understanding companies need to put this data to work.

Supported by research with several industry leaders and packed with frontline stories from leading organizations such as Google, Amazon, Spotify, LinkedIn, Pfizer Manulife, AXA, Monster Worldwide, Under Armour, the Houston Rockets, DELL, IBM, and SAS Institute, this book provide a framework for building and implementing a successful UDA center of excellence.

You will learn:

• How to increase Customer Acquisition and Customer Retention with UDA
• The Power of UDA for Fraud Detection and Prevention
• The Power of UDA in Human Capital Management & Human Resource
• The Power of UDA in Health Care and Medical Research
• The Power of UDA in National Security
• The Power of UDA in Legal Services
• The Power of UDA for product development
• The Power of UDA in Sports
• The future of UDA

From small businesses to large multinational organizations, unstructured data provides the opportunity to gain consumer information straight from the source. Data is only as valuable as it is useful, and a robust, effective UDA strategy is the first step toward gaining the full advantage. Unstructured Data Analytics lays this space open for examination, and provides a solid framework for beginning meaningful analysis.

About the Author

Jean Paul Isson is Global Vice President for Predictive Analytics and Business Intelligence at Monster Worldwide, Inc., where he has built his global predictive analytics team from the ground up and successfully conceived and implemented global customer scoring, customer segmentation, predictive modeling, and web mining applications and talent analytics solutions across North America, Europe, and the Asia–Pacific region. Prior to joining Monster, Mr. Isson led the global customer behavior modeling team at Rogers Wireless, implementing churn models and pioneering customer lifetime value segmentation to optimize services, marketing, and sales activities.

Mr. Isson is a worldwide expert and an evangelist in Big Data and advanced business analytics. He is an internationally acclaimed speaker and a thought leader who specializes in helping organizations create business value from their Big Data or little data. Mathematician and statistician by training (he holds a master’s degree in mathematics and statistics), he loves helping executives to apply data science to business questions to tell the data story, and was named among the 180 leading data science, Big Data, and analytics bloggers in the world by Data Science Central.

Mr. Isson is frequently invited to be the keynote speaker at executive events on advanced analytics, human capital management, human resources analytics, and innovation in the United States, Canada, the United Kingdom, Germany, France, Denmark, the Netherlands, Poland, the Czech Republic, Australia, and China. He has more than 22 years of experience in advanced business analytics, focusing on predictive analytics, workforce analytics, behavior modeling, market segmentation, and sales coverage optimization. He teaches classes for the Executive Certificate in Advanced Business Analytics at Concordia university. He has delivered business analytics workshops at executive programs in the United States, Canada, Europe, Asia, and Australia.

He is the author (with Jesse Harriott) of Win with Advanced Business Analytics (John Wiley & Sons, 2012), a reference business analytics book that was translated into several languages, including Mandarin, and is a contributor to several local and international newspapers and online magazines, including the Journal of the American Management Association, the Wall Street Journal, the New York Times, MIT Sloan Management Review, EREMedia,the Guardian, Financial Post, National Post, Les Echos, Liberation,Wich50 (Australia), Le Journal du Net Silicon, Challenges, le Monde,the Gazette, and the Globe & Mail. Mr. Isson has appeared in various media outlets, including TV, to cover Big Data analytics, talent analytics, and employment conditions.