Artboard 33Artboard 16Artboard 18Artboard 13Artboard 42Artboard 21Artboard 4Artboard 5Artboard 45Artboard 22Artboard 7Artboard 42Artboard 23Artboard 12Artboard 28Artboard 17?Artboard 28Artboard 43Artboard 49Artboard 47Artboard 15Artboard 32Artboard 6Artboard 22Artboard 5Artboard 25Artboard 1Artboard 42Artboard 11Artboard 41Artboard 11Artboard 23Artboard 10Artboard 4Artboard 9Artboard 6Artboard 8Artboard 7Artboard 3Artboard 12Artboard 25Artboard 34Artboard 43Artboard 44Artboard 16Artboard 24Artboard 13Artboard 5Artboard 24Artboard 31Artboard 1Artboard 12Artboard 27Artboard 30Artboard 36Artboard 44Artboard 9Artboard 17Artboard 6Artboard 27Artboard 30Artboard 29Artboard 26Artboard 2Artboard 20Artboard 35Artboard 15Artboard 14Artboard 50Artboard 26Artboard 14Artboard 40Artboard 21Artboard 10Artboard 37Artboard 46Artboard 33Artboard 8

Fraud And Fraud Detection - A Data Analytics Approach + Website (Cód: 9235210)


John Wiley & Sons

Ooops! Este produto não está mais a venda.
Mas não se preocupe, temos uma versão atualizada para você.

Ooopss! Este produto está fora de linha, mas temos outras opções para você.
Veja nossas sugestões abaixo!

R$ 363,70

em até 10x de R$ 36,37 sem juros
Cartão Saraiva: 1x de R$ 345,52 (-5%)


Em até 1x sem juros de

Cartão Saraiva:


Em até 10x sem juros de

Fraud And Fraud Detection - A Data Analytics Approach + Website


Quer comprar em uma loja física? Veja a disponibilidade deste produto

Entregas internacionais: Consulte prazos e valores de entrega para regiões fora do Brasil na página do Carrinho.

ou receba na loja com frete grátis

Formas de envio Custo Entrega estimada

* Válido para compras efetuadas em dias úteis até às 15:00, horário de Brasília, com cartão de crédito e aprovadas na primeira tentativa.

X Consulte as lojas participantes

Saraiva MegaStore Shopping Eldorado Av. Rebouças, 3970 - 1º piso - Pinheiros CEP: 05402-600 - São Paulo - SP


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. Big data and other emerging technologies can be a fraudster's dream come true. It's a cinch to hide a few fraudulent transactions within enormous, difficult-to-manage databases. And tech-savvy fraudsters can use new software to automate their risky activities. Unhappily for them, big data can also simplify the process of fraud detection. That's where 'Fraud and Fraud Detection' comes in, showing auditors, investigators, and risk professionals how to use big data analytics to stay one step ahead of cyber criminals. Only a tiny fraction of businesses worldwide are using big data technologies to aid in fraud detection. Why? One reason could be the lack of clear resources supporting the implementation of a fraud mitigation approach that is still on the cutting-edge. 'Fraud and Fraud Detection' goes a very long way toward removing this obstacle. This hands-on book addresses all the major types of employee fraud, including cash skimming, billing schemes, payroll fraud, and many more. For each fraud type, author Sunder Gee provides tests that can be customized and automated, even for millions of transactions per day. Data analytics software is a crucial element in bringing fraud detection into the 21st century. The techniques in 'Fraud and Fraud Detection' can be used with any analytics software, and there is enough information here to develop a step-by-step plan for designing and implementing automated detection programs. Users of CaseWare's IDEA software will especially appreciate the downloadable IDEAScripts that can speed the process of making fraud detection automatic. On the companion website included with 'Fraud and Fraud Detection,' readers have access to a fully functional version of IDEA. A certain amount of fraud risk is acceptable in any organization--and Sunder Gee demonstrates this point artfully in 'Fraud and Fraud Detection.' Still, fraudsters are evolving with the times, and fraud mitigation professionals need to keep up. Right now, there is enormous potential to improve the efficiency of fraud detection through big data analytics, but almost no one is taking advantage of this opportunity. 'Fraud and Fraud Detection' opens up a clear path for accessing this untapped value. THE MUST-HAVE GUIDE TO USING BIG DATA AND AUTOMATION TO DETECT FRAUD FASTER Sooner or later, every fraudster makes a mistake. 'Fraud and Fraud Detection: A Data Analytics Approach' will show you how to automate statistical and data analytical tests to catch those mistakes, identify criminals, and 'eliminate' the fraud. With big data analytics, you can find and stop fraudulent transactions much more efficiently than ever before. Detecting a few tiny abnormalities among thousands or millions of legitimate transactions has become a simple matter thanks to big data analytics, and 'Fraud and Fraud Detection' explains how you can use these new techniques to mitigate losses and stop valuable resources from seeping through the cracks. 'Fraud and Fraud Detection' will help you reach the next phase in fraud mitigation so you can keep up with the latest challenges. You'll learn how to 'automatically' apply key tests, including variability from the center, Benford's Law, the number duplication test, the relevant size factor test, and many more, to all the major types of fraud. Starting with how to identify important data sets and ending with implementing a well-designed, automated fraud detection plan, this book covers every step of the process. 'Fraud and Fraud Detection' explains what you need to understand about big data and provides a step-by-step guide to implementing the most important tools and techniques--including templates, downloadable automation scripts, and access to the CaseWare IDEA software. This approach has been ready to go for 'years,' and it's time you took advantage of big data to uncover needless losses.


Peso 0.78 Kg
Produto sob encomenda Sim
Marca John Wiley & Sons
I.S.B.N. 9781118779651
Referência 028216600
Altura 26.20 cm
Largura 18.80 cm
Profundidade 3.00 cm
Número de Páginas 352
Idioma Inglês
Acabamento Capa dura
Cód. Barras 9781118779651
Ano da edição 2015