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

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

Unstructured Data Analytics: How to Improve Customer Acquisition, Customer
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Unstructured Data Analytics: How to Improve Customer Acquisition, Customer Retention, and Fraud Detection and Prevention Hardback - 2018

by Isson, J.P

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Wiley, 2018. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. Dust jacket in fair condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,700grams, ISBN:9781119129752
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Details

  • Title Unstructured Data Analytics: How to Improve Customer Acquisition, Customer Retention, and Fraud Detection and Prevention
  • Author Isson, J.P
  • Binding Hardback
  • Pages 432
  • Volumes 1
  • Language ENG
  • Publisher Wiley
  • Publication date 2018
  • Bookseller's Inventory # 9425901
  • ISBN 9781119129752 / 1119129753
  • Weight 1.3 lbs (0.59 kg)
  • Dimensions 9 x 6.2 x 1.4 in (22.86 x 15.75 x 3.56 cm)
  • Category Computers - Accounting Packages

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From the publisher

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.

From the rear cover

Praise for UNSTRUCTURED DATA ANALYTICS

"Isson's book is an essential well-written guide for business leaders who want to create value from their unstructured data. I strongly recommend this book to any executive looking to discover insights buried in their Big Data to transform their organization analytics."
--MARK STOEVER, CEO, 2020 Inc., former CEO, Monster Worldwide Inc.

"Unstructured Data Analytics (UDA) will impact all of us, and this book provides a well-written summary of what you need to start your journey to stay ahead of your competition. JP Isson captures the essence of UDA in an easy to digest way that I highly recommend to the entire organization."
--JOANIE COURTNEY, President and Chief Operating Officer at EmployBridge, Professional Division, Employment Industry Executive, and Speaker

"If you are not analyzing your unstructured data you are probably missing more than 80 percent of insights from data. In this book JP Isson provides an easy to implement framework packed with real-world applications to make your company smarter by fully harnessing its data: structured and unstructured. A masterpiece to stay ahead of the competition."
--BRUNO AZIZA, Chief Marketing Officer (CMO), AtScale

"Putting aside hype and academic abstraction, this book brings us tangible case studies from real Unstructured Data Analytics implementations in marketing, fraud detection, insurance, HR, legal, security, sports, medical, and other application areas. As in Isson's prior books, the author brings this practical grounding together into a solid strategic vision. This is vital reading for managers and practitioners who are venturing into the real world of living data beyond rows and columns."
--PASHA ROBERTS, Chief Scientist, Cofounder, Talent Analytics

"Isson continues educating the masses on big data with a book that addresses the next frontier in this ever-evolving field: how to deal with unstructured data."
--STEPHANE BRUTUS, RBC Professor in Motivation and Employee Performance, Concordia University

About the author

JEAN PAUL ISSON is a recognized worldwide expert and evangelist in Big Data Analytics and Advanced Business Analytics, with over 22 years of experience. He is the author of Win with Advanced Business Analytics and People Analytics in the Era of Big Data.

As Global Vice President of Predictive Analytics & BI at Monster Worldwide Inc. he has built his team from the ground up and successfully conceived and implemented global customer scoring, predictive models and segmentation, machine learning and deep learning solutions, web mining applications, and people analytics solutions for Monster across North America, Europe, and Asia/Pacific. He is also the Founder of the People Analytics Institute.

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