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

by Jean Paul Isson

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 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.

432 pages, Hardcover

Published March 13, 2018

Reviews

[Jay French · Rating 2 out of 5]

I have a background working in unstructured content, including analytics. I hoped to learn something new from this book about content analytics. However, the book was more an overview of some of the technology used for analyzing unstructured content and industry use cases. To the good, the author included a number of interviews of managers from various companies using or selling content analytics software. What I didn’t find as useful were the large numbers of lists. The author includes hundreds of lists in this book. It seems the book combed a number of sources for lists and put them together, often covering unrelated aspects of a topic. I also noted that this was mostly about analytics in general, and much of what was covered was analytics of structured data, sometimes combined with analytics of unstructured data, sometimes not. The unstructured data that the author focused on were typical web form fields (think comment fields on surveys) and video analysis, but other sources were mentioned, often in long lists. I’d say this was a good book to introduce the concept to a business analyst in order to give ideas of usage, but the process and technology coverage might be confusing to that audience, and already dated.