Fraud Data Analytics Methodology

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Fraud Data Analytics Methodology

Leonard W. Vona
Fraud Data Analytics Methodology Book PDF

Author : Leonard W. Vona
Publisher : John Wiley & Sons
Page : 400 pages
File Size : 54,6 Mb
Release : 2017-01-04
Category : Business & Economics
ISBN : 9781119186793

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Fraud Data Analytics Methodology by Leonard W. Vona Pdf

Uncover hidden fraud and red flags using efficient data analytics Fraud Data Analytics Methodology addresses the need for clear, reliable fraud detection with a solid framework for a robust data analytic plan. By combining fraud risk assessment and fraud data analytics, you'll be able to better identify and respond to the risk of fraud in your audits. Proven techniques help you identify signs of fraud hidden deep within company databases, and strategic guidance demonstrates how to build data interrogation search routines into your fraud risk assessment to locate red flags and fraudulent transactions. These methodologies require no advanced software skills, and are easily implemented and integrated into any existing audit program. Professional standards now require all audits to include data analytics, and this informative guide shows you how to leverage this critical tool for recognizing fraud in today's core business systems. Fraud cannot be detected through audit unless the sample contains a fraudulent transaction. This book explores methodologies that allow you to locate transactions that should undergo audit testing. Locate hidden signs of fraud Build a holistic fraud data analytic plan Identify red flags that lead to fraudulent transactions Build efficient data interrogation into your audit plan Incorporating data analytics into your audit program is not about reinventing the wheel. A good auditor must make use of every tool available, and recent advances in analytics have made it accessible to everyone, at any level of IT proficiency. When the old methods are no longer sufficient, new tools are often the boost that brings exceptional results. Fraud Data Analytics Methodology gets you up to speed, with a brand new tool box for fraud detection.

Fraud and Fraud Detection, + Website

Sunder Gee
Fraud and Fraud Detection Website Book PDF

Author : Sunder Gee
Publisher : John Wiley & Sons
Page : 358 pages
File Size : 47,5 Mb
Release : 2014-12-03
Category : Business & Economics
ISBN : 9781118779651

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Fraud and Fraud Detection, + Website by Sunder Gee Pdf

Detect fraud faster—no matter how well hidden—with IDEA automation Fraud and Fraud Detection takes an advanced approach to fraud management, providing step-by-step guidance on automating detection and forensics using CaseWare's IDEA software. The book begins by reviewing the major types of fraud, then details the specific computerized tests that can detect them. Readers will learn to use complex data analysis techniques, including automation scripts, allowing easier and more sensitive detection of anomalies that require further review. The companion website provides access to a demo version of IDEA, along with sample scripts that allow readers to immediately test the procedures from the book. Business systems' electronic databases have grown tremendously with the rise of big data, and will continue to increase at significant rates. Fraudulent transactions are easily hidden in these enormous datasets, but Fraud and Fraud Detection helps readers gain the data analytics skills that can bring these anomalies to light. Step-by-step instruction and practical advice provide the specific abilities that will enhance the audit and investigation process. Readers will learn to: Understand the different areas of fraud and their specific detection methods Identify anomalies and risk areas using computerized techniques Develop a step-by-step plan for detecting fraud through data analytics Utilize IDEA software to automate detection and identification procedures The delineation of detection techniques for each type of fraud makes this book a must-have for students and new fraud prevention professionals, and the step-by-step guidance to automation and complex analytics will prove useful for even experienced examiners. With datasets growing exponentially, increasing both the speed and sensitivity of detection helps fraud professionals stay ahead of the game. Fraud and Fraud Detection is a guide to more efficient, more effective fraud identification.

Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques

Bart Baesens,Veronique Van Vlasselaer,Wouter Verbeke
Fraud Analytics Using Descriptive Predictive and Social Network Techniques Book PDF

Author : Bart Baesens,Veronique Van Vlasselaer,Wouter Verbeke
Publisher : John Wiley & Sons
Page : 406 pages
File Size : 47,9 Mb
Release : 2015-08-17
Category : Computers
ISBN : 9781119133124

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Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques by Bart Baesens,Veronique Van Vlasselaer,Wouter Verbeke Pdf

Detect fraud earlier to mitigate loss and prevent cascading damage Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques is an authoritative guidebook for setting up a comprehensive fraud detection analytics solution. Early detection is a key factor in mitigating fraud damage, but it involves more specialized techniques than detecting fraud at the more advanced stages. This invaluable guide details both the theory and technical aspects of these techniques, and provides expert insight into streamlining implementation. Coverage includes data gathering, preprocessing, model building, and post-implementation, with comprehensive guidance on various learning techniques and the data types utilized by each. These techniques are effective for fraud detection across industry boundaries, including applications in insurance fraud, credit card fraud, anti-money laundering, healthcare fraud, telecommunications fraud, click fraud, tax evasion, and more, giving you a highly practical framework for fraud prevention. It is estimated that a typical organization loses about 5% of its revenue to fraud every year. More effective fraud detection is possible, and this book describes the various analytical techniques your organization must implement to put a stop to the revenue leak. Examine fraud patterns in historical data Utilize labeled, unlabeled, and networked data Detect fraud before the damage cascades Reduce losses, increase recovery, and tighten security The longer fraud is allowed to go on, the more harm it causes. It expands exponentially, sending ripples of damage throughout the organization, and becomes more and more complex to track, stop, and reverse. Fraud prevention relies on early and effective fraud detection, enabled by the techniques discussed here. Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques helps you stop fraud in its tracks, and eliminate the opportunities for future occurrence.

Forensic Analytics

Mark J. Nigrini
Forensic Analytics Book PDF

Author : Mark J. Nigrini
Publisher : John Wiley & Sons
Page : 549 pages
File Size : 42,6 Mb
Release : 2020-04-20
Category : Business & Economics
ISBN : 9781119585909

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Forensic Analytics by Mark J. Nigrini Pdf

Become the forensic analytics expert in your organization using effective and efficient data analysis tests to find anomalies, biases, and potential fraud—the updated new edition Forensic Analytics reviews the methods and techniques that forensic accountants can use to detect intentional and unintentional errors, fraud, and biases. This updated second edition shows accountants and auditors how analyzing their corporate or public sector data can highlight transactions, balances, or subsets of transactions or balances in need of attention. These tests are made up of a set of initial high-level overview tests followed by a series of more focused tests. These focused tests use a variety of quantitative methods including Benford’s Law, outlier detection, the detection of duplicates, a comparison to benchmarks, time-series methods, risk-scoring, and sometimes simply statistical logic. The tests in the new edition include the newly developed vector variation score that quantifies the change in an array of data from one period to the next. The goals of the tests are to either produce a small sample of suspicious transactions, a small set of transaction groups, or a risk score related to individual transactions or a group of items. The new edition includes over two hundred figures. Each chapter, where applicable, includes one or more cases showing how the tests under discussion could have detected the fraud or anomalies. The new edition also includes two chapters each describing multi-million-dollar fraud schemes and the insights that can be learned from those examples. These interesting real-world examples help to make the text accessible and understandable for accounting professionals and accounting students without rigorous backgrounds in mathematics and statistics. Emphasizing practical applications, the new edition shows how to use either Excel or Access to run these analytics tests. The book also has some coverage on using Minitab, IDEA, R, and Tableau to run forensic-focused tests. The use of SAS and Power BI rounds out the software coverage. The software screenshots use the latest versions of the software available at the time of writing. This authoritative book: Describes the use of statistically-based techniques including Benford’s Law, descriptive statistics, and the vector variation score to detect errors and anomalies Shows how to run most of the tests in Access and Excel, and other data analysis software packages for a small sample of the tests Applies the tests under review in each chapter to the same purchasing card data from a government entity Includes interesting cases studies throughout that are linked to the tests being reviewed. Includes two comprehensive case studies where data analytics could have detected the frauds before they reached multi-million-dollar levels Includes a continually-updated companion website with the data sets used in the chapters, the queries used in the chapters, extra coverage of some topics or cases, end of chapter questions, and end of chapter cases. Written by a prominent educator and researcher in forensic accounting and auditing, the new edition of Forensic Analytics: Methods and Techniques for Forensic Accounting Investigations is an essential resource for forensic accountants, auditors, comptrollers, fraud investigators, and graduate students.

Fraud Analytics

Delena D. Spann
Fraud Analytics Book PDF

Author : Delena D. Spann
Publisher : John Wiley & Sons
Page : 176 pages
File Size : 53,8 Mb
Release : 2014-07-22
Category : Business & Economics
ISBN : 9781118282731

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Fraud Analytics by Delena D. Spann Pdf

Proven guidance for expertly using analytics in fraud examinations, financial analysis, auditing and fraud prevention Fraud Analytics thoroughly reveals the elements of analysis that are used in today's fraud examinations, fraud investigations, and financial crime investigations. This valuable resource reviews the types of analysis that should be considered prior to beginning an investigation and explains how to optimally use data mining techniques to detect fraud. Packed with examples and sample cases illustrating pertinent concepts in practice, this book also explores the two major data analytics providers: ACL and IDEA. Looks at elements of analysis used in today's fraud examinations Reveals how to use data mining (fraud analytic) techniques to detect fraud Examines ACL and IDEA as indispensable tools for fraud detection Includes an abundance of sample cases and examples Written by Delena D Spann, Board of Regent (Emeritus) for the Association of Certified Fraud Examiners (ACFE), who currently serves as Advisory Board Member of the Association of Certified Fraud Examiners, Board Member of the Education Task Force of the Association of Certified Anti-Money Laundering Specialists ASIS International (Economic Crime Council) and Advisory Board Member of the Robert Morris University (School of Business), Fraud Analytics equips you with authoritative fraud analysis techniques you can put to use right away.

Using Analytics to Detect Possible Fraud

Pamela S. Mantone
Using Analytics to Detect Possible Fraud Book PDF

Author : Pamela S. Mantone
Publisher : John Wiley & Sons
Page : 368 pages
File Size : 46,5 Mb
Release : 2013-07-16
Category : Business & Economics
ISBN : 9781118715987

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Using Analytics to Detect Possible Fraud by Pamela S. Mantone Pdf

Detailed tools and techniques for developing efficiency and effectiveness in forensic accounting Using Analytics to Detect Possible Fraud: Tools and Techniques is a practical overview of the first stage of forensic accounting, providing a common source of analytical techniques used for both efficiency and effectiveness in forensic accounting investigations. The book is written clearly so that those who do not have advanced mathematical skills will be able to understand the analytical tests and use the tests in a forensic accounting setting. It also includes case studies and visual techniques providing practical application of the analytical tests discussed. Shows how to develop both efficiency and effectiveness in forensic accounting Provides information in such a way that non-practitioners can easily understand Written in plain language: advanced mathematical skills are not required Features actual case studies using analytical tests Essential reading for every investor who wants to prevent financial fraud, Using Analytics to Detect Possible Fraud allows practitioners to focus on areas that require further investigative techniques and to unearth deceptive financial reporting before it's too late.

Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques

Bart Baesens,Veronique Van Vlasselaer,Wouter Verbeke
Fraud Analytics Using Descriptive Predictive and Social Network Techniques Book PDF

Author : Bart Baesens,Veronique Van Vlasselaer,Wouter Verbeke
Publisher : John Wiley & Sons
Page : 406 pages
File Size : 45,9 Mb
Release : 2015-07-27
Category : Computers
ISBN : 9781119146834

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Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques by Bart Baesens,Veronique Van Vlasselaer,Wouter Verbeke Pdf

Detect fraud earlier to mitigate loss and prevent cascading damage Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques is an authoritative guidebook for setting up a comprehensive fraud detection analytics solution. Early detection is a key factor in mitigating fraud damage, but it involves more specialized techniques than detecting fraud at the more advanced stages. This invaluable guide details both the theory and technical aspects of these techniques, and provides expert insight into streamlining implementation. Coverage includes data gathering, preprocessing, model building, and post-implementation, with comprehensive guidance on various learning techniques and the data types utilized by each. These techniques are effective for fraud detection across industry boundaries, including applications in insurance fraud, credit card fraud, anti-money laundering, healthcare fraud, telecommunications fraud, click fraud, tax evasion, and more, giving you a highly practical framework for fraud prevention. It is estimated that a typical organization loses about 5% of its revenue to fraud every year. More effective fraud detection is possible, and this book describes the various analytical techniques your organization must implement to put a stop to the revenue leak. Examine fraud patterns in historical data Utilize labeled, unlabeled, and networked data Detect fraud before the damage cascades Reduce losses, increase recovery, and tighten security The longer fraud is allowed to go on, the more harm it causes. It expands exponentially, sending ripples of damage throughout the organization, and becomes more and more complex to track, stop, and reverse. Fraud prevention relies on early and effective fraud detection, enabled by the techniques discussed here. Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques helps you stop fraud in its tracks, and eliminate the opportunities for future occurrence.

Forensic Analytics

Mark J. Nigrini
Forensic Analytics Book PDF

Author : Mark J. Nigrini
Publisher : John Wiley & Sons
Page : 480 pages
File Size : 47,8 Mb
Release : 2011-05-12
Category : Business & Economics
ISBN : 1118087631

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Forensic Analytics by Mark J. Nigrini Pdf

Discover how to detect fraud, biases, or errors in your data using Access or Excel With over 300 images, Forensic Analytics reviews and shows how twenty substantive and rigorous tests can be used to detect fraud, errors, estimates, or biases in your data. For each test, the original data is shown with the steps needed to get to the final result. The tests range from high-level data overviews to assess the reasonableness of data, to highly focused tests that give small samples of highly suspicious transactions. These tests are relevant to your organization, whether small or large, for profit, nonprofit, or government-related. Demonstrates how to use Access, Excel, and PowerPoint in a forensic setting Explores use of statistical techniques such as Benford's Law, descriptive statistics, correlation, and time-series analysis to detect fraud and errors Discusses the detection of financial statement fraud using various statistical approaches Explains how to score locations, agents, customers, or employees for fraud risk Shows you how to become the data analytics expert in your organization Forensic Analytics shows how you can use Microsoft Access and Excel as your primary data interrogation tools to find exceptional, irregular, and anomalous records.

Fraud Analysis Techniques Using ACL

David Coderre
Fraud Analysis Techniques Using ACL Book PDF

Author : David Coderre
Publisher : John Wiley & Sons
Page : 327 pages
File Size : 43,6 Mb
Release : 2009-07-23
Category : Business & Economics
ISBN : 9780470508480

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Fraud Analysis Techniques Using ACL by David Coderre Pdf

"When people ask me what they can do to better utilize ACL, I tell them, 'Take an instructor lead course, participate in the ACL Forum, and study (not read, study) David Coderre's Fraud Analysis Techniques Using ACL.' I studied this book, and would not be where I am today without it. Even without the anti-fraud material, the book is worth the investment as a tool to learning ACL!" —Porter Broyles, President and founder of the Texas ACL User Group, Keynote Speaker at ACL's 2009 San Francisco Conference, Official ACL Super User "For individuals interested in learning about fraud analysis techniques or the art of ACL scripting, this book is a must-read. For those individuals interested in learning both, this book is a treasure." —Jim Hess, Principal, Hess Group, LLC Your very own ACL Fraud Toolkit—at your fingertips Fraud Analysis Techniques Using ACL offers auditors and investigators: Authoritative guidance from David Coderre, renowned expert on the use of computer-assisted audit tools and techniques in fraud detection A website containing an educational version of ACL from the world leader in fraud detection software An accompanying website containing a thorough Fraud Toolkit with two sets of customizable scripts to serve your specific audit needs Case studies and sample data files that you can use to try out the tests Step-by-step instructions on how to run the tests A self-study course on ACL script development with exercises, data files, and suggested answers The toolkit also contains 12 'utility scripts' and a self-study course on ACL scripting which includes exercises, data files, and proposed answers. Filled with screen shots, flow charts, example data files, and descriptive commentary highlighting and explaining each step, as well as case studies offering real-world examples of how the scripts can be used to search for fraud, Fraud Analysis Techniques Using ACL is the only toolkit you will need to harness the power of ACL to spot fraud.

Real-time Fraud Detection Analytics on IBM System z

Mike Ebbers,Dheeraj Reddy Chintala,Priya Ranjan,Lakshminarayanan Sreenivasan,IBM Redbooks
Real time Fraud Detection Analytics on IBM System z Book PDF

Author : Mike Ebbers,Dheeraj Reddy Chintala,Priya Ranjan,Lakshminarayanan Sreenivasan,IBM Redbooks
Publisher : IBM Redbooks
Page : 70 pages
File Size : 52,8 Mb
Release : 2013-04-11
Category : Computers
ISBN : 9780738437637

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Real-time Fraud Detection Analytics on IBM System z by Mike Ebbers,Dheeraj Reddy Chintala,Priya Ranjan,Lakshminarayanan Sreenivasan,IBM Redbooks Pdf

Payment fraud can be defined as an intentional deception or misrepresentation that is designed to result in an unauthorized benefit. Fraud schemes are becoming more complex and difficult to identify. It is estimated that industries lose nearly $1 trillion USD annually because of fraud. The ideal solution is where you avoid making fraudulent payments without slowing down legitimate payments. This solution requires that you adopt a comprehensive fraud business architecture that applies predictive analytics. This IBM® Redbooks® publication begins with the business process flows of several industries, such as banking, property/casualty insurance, and tax revenue, where payment fraud is a significant problem. This book then shows how to incorporate technological advancements that help you move from a post-payment to pre-payment fraud detection architecture. Subsequent chapters describe a solution that is specific to the banking industry that can be easily extrapolated to other industries. This book describes the benefits of doing fraud detection on IBM System z®. This book is intended for financial decisionmakers, consultants, and architects, in addition to IT administrators.

Fraud Risk Assessment

Leonard W. Vona
Fraud Risk Assessment Book PDF

Author : Leonard W. Vona
Publisher : John Wiley & Sons
Page : 164 pages
File Size : 49,5 Mb
Release : 2012-06-29
Category : Business & Economics
ISBN : 9781118429082

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Fraud Risk Assessment by Leonard W. Vona Pdf

Providing a comprehensive framework for building an effective fraud prevention model, Fraud Risk Assessment: Building a Fraud Audit Program presents a readable overview for developing fraud audit procedures and building controls that successfully minimize fraud. An invaluable reference for auditors, fraud examiners, investigators, CFOs, controllers, corporate attorneys, and accountants, this book helps business leaders respond to the risk of asset misappropriation fraud and uncover fraud in core business systems.

Unstructured Data Analytics

Jean Paul Isson
Unstructured Data Analytics Book PDF

Author : Jean Paul Isson
Publisher : John Wiley & Sons
Page : 432 pages
File Size : 47,6 Mb
Release : 2018-03-13
Category : Computers
ISBN : 9781119129752

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Unstructured Data Analytics by Jean Paul Isson Pdf

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.

The Fraud Audit

Leonard W. Vona
The Fraud Audit Book PDF

Author : Leonard W. Vona
Publisher : John Wiley & Sons
Page : 404 pages
File Size : 40,8 Mb
Release : 2011-08-09
Category : Business & Economics
ISBN : 9780470647264

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The Fraud Audit by Leonard W. Vona Pdf

Essential guidance for creation of an effective fraud audit program in core business systems The Association of Certified Fraud Examiners has reported that U.S. businesses lose up to $4 billion annually due to fraud and abuse. Discover fraud within your business before yours becomes another business fraud statistic. The Fraud Audit provides a proven fraud methodology that allows auditors to discover fraud versus investigating it. Explains how to create a fraud audit program Shows auditors how to locate fraud through the use of data mining Focuses on a proven methodology that has actually detected fraudulent transactions Take a look inside for essential guidance for fraud discovery within specific corporate F&A functions, such as disbursement, procurement, payroll, revenue misstatement, inventory, journal entries, and management override.

Fraud Analytics with SAS

Anonim
Fraud Analytics with SAS Book PDF

Author : Anonim
Publisher : Unknown
Page : 108 pages
File Size : 46,7 Mb
Release : 2019-06-21
Category : Electronic
ISBN : 1642954756

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Fraud Analytics with SAS by Anonim Pdf

SAS software provides many different techniques to monitor in real time and investigate your data, and several groundbreaking papers have been written to demonstrate how to use these techniques. Topics covered illustrate the power of SAS solutions that are available as tools for fraud analytics, highlighting a variety of domains, including money laundering, financial crime, and terrorism. Also available free as a PDF from: sas.com/books.

Analytics in a Big Data World

Bart Baesens
Analytics in a Big Data World Book PDF

Author : Bart Baesens
Publisher : John Wiley & Sons
Page : 256 pages
File Size : 44,7 Mb
Release : 2014-04-15
Category : Business & Economics
ISBN : 9781118892749

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Analytics in a Big Data World by Bart Baesens Pdf

The guide to targeting and leveraging business opportunities using big data & analytics By leveraging big data & analytics, businesses create the potential to better understand, manage, and strategically exploiting the complex dynamics of customer behavior. Analytics in a Big Data World reveals how to tap into the powerful tool of data analytics to create a strategic advantage and identify new business opportunities. Designed to be an accessible resource, this essential book does not include exhaustive coverage of all analytical techniques, instead focusing on analytics techniques that really provide added value in business environments. The book draws on author Bart Baesens' expertise on the topics of big data, analytics and its applications in e.g. credit risk, marketing, and fraud to provide a clear roadmap for organizations that want to use data analytics to their advantage, but need a good starting point. Baesens has conducted extensive research on big data, analytics, customer relationship management, web analytics, fraud detection, and credit risk management, and uses this experience to bring clarity to a complex topic. Includes numerous case studies on risk management, fraud detection, customer relationship management, and web analytics Offers the results of research and the author's personal experience in banking, retail, and government Contains an overview of the visionary ideas and current developments on the strategic use of analytics for business Covers the topic of data analytics in easy-to-understand terms without an undo emphasis on mathematics and the minutiae of statistical analysis For organizations looking to enhance their capabilities via data analytics, this resource is the go-to reference for leveraging data to enhance business capabilities.