Fraud and Fraud Detection

Fraud and Fraud Detection
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How does a CEO, manager, or entrepreneur begin to sort out what defines and drives a good customer experience and how it can be measured and made actionable? If you know how well the customer experience is satisfying your customers and you know how to increase their satisfaction, you can then increase sales, return visits, recommendations, loyalty, and brand engagement across all channels. More reliable and more useful data leads to better decisions and better results. Innovating Analytics is also about the need for a comprehensive measurement ecosystem to accurately assess and improve the other elements of customer experience. This is a time of great change and great opportunity. The companies that use the right tools and make the right assessments of how to satisfy their customers will have the competitive advantage. Innovating Analytics introduces an index that measures a customer’s likelihood to recommend and the likelihood to detract. The current concept of the Net Promoter Score (NPS) that has been adopted by many companies during the last decade—is no longer accurate, precise or actionable. This new metric called the Word of Mouth Index (WoMI) has been tested on hundreds of companies and with over 1.5 million consumers over the last two years. Author Larry Freed details the improvement that WoMI provides within what he calls the Measurement Ecosystem. He then goes on to look at three other drivers of customer satisfaction along with word of mouth: customer acquisition, customer loyalty, and customer conversion.

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The Wiley Corporate F&A series provides information, tools, and insights to corporate professionals responsible for issues affecting the profitability of their company, from accounting and finance to internal controls and performance management.

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Fraud and Fraud Detection

A Data Analytics Approach

SUNDER GEE


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Copyright © 2015 by Sunder Gee. All rights reserved.

Published by John Wiley & Sons, Inc., Hoboken, New Jersey.

Published simultaneously in Canada.

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Library of Congress Cataloging-in-Publication Data:

Gee, Sunder.

Fraud and fraud detection: a data analytics approach/Sunder Gee.

pages cm. – (Wiley corporate F&A series)

Includes index.

ISBN 978-1-118-77965-1 (hardback) – ISBN 978-1-118-77967-5 (ePDF) – ISBN 978-1-118-77966-8 (ePub) – ISBN 978-1-118-93676-4 (oBook) 1. Fraud. 2. Managerial accounting. 3. Data mining. I. Title.

HV6691.G44 2014

658.4′73 – dc23

2014021352

Foreword

I MET SUNDER MANY YEARS ago when he was researching advanced methods to improve his work through Benford’s Law analysis. He immediately displayed a passion and excitement for thinking outside of the box that inspired a professional relationship based on our common enthusiasm for IDEA. Being a long-time IDEA user with experience in various types of audits, I have always been keen on learning new and innovative ways to use the tool and push it to its limits, especially now working on the development side of the product.

Today’s fast-paced society has enabled most actions, transactions, and activities to be captured and saved on various databases in a matter of minutes. Because of this, fraud has grown in sophistication and become increasingly difficult to identify. However, this influx of technology and data capturing has also provided fraud examiners with the ability to use fraud detection methods that rival perpetrators of fraud in both complexity and innovation. The increased amount of data collected by innumerable systems in turn increases the possibilities available to fraud examiners. It is through the use of data analytics that fraud examiners can combat fraud and detect anomalies in a timely and efficient manner.

This book will lead you through the possibilities I have mentioned and will explain in full detail the different mathematic models and advanced analytics available for use in the identification of suspicious transactions. It is with great enthusiasm that I recommend this book to enhance your fraud detection process. I am certain that this book will inspire all who read it to approach fraud creatively regardless of experience level. While the subject matter within this book may appear to be complex, Sunder eloquently outlines his ideas and experience along with research into various theoretical concepts that result in an easily digested guide by even the most novice of auditors while still providing valuable insight to seasoned auditors as well.



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