{"product_id":"fraud-and-fraud-detection-website-a-data-analytics-approach-hardcover","title":"Fraud and Fraud Detection, + Website: A Data Analytics Approach - Hardcover","description":"\u003cp\u003eby \u003cb\u003eSunder Gee\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003cb\u003eDetect fraud faster--no matter how well hidden--with IDEA automation\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003ci\u003eFraud and Fraud Detection\u003c\/i\u003e 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.\u003c\/p\u003e \u003cp\u003eBusiness 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 \u003ci\u003eFraud and Fraud Detection\u003c\/i\u003e 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: \u003c\/p\u003e \u003cul\u003e \u003cli\u003eUnderstand the different areas of fraud and their specific detection methods\u003c\/li\u003e \u003cli\u003eIdentify anomalies and risk areas using computerized techniques\u003c\/li\u003e \u003cli\u003eDevelop a step-by-step plan for detecting fraud through data analytics\u003c\/li\u003e \u003cli\u003eUtilize IDEA software to automate detection and identification procedures\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eThe 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. \u003ci\u003eFraud and Fraud Detection\u003c\/i\u003e is a guide to more efficient, more effective fraud identification.\u003c\/p\u003e\u003ch3\u003eFront Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eBig 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 \u003ci\u003eFraud and Fraud Detection\u003c\/i\u003e comes in, showing auditors, investigators, and risk professionals how to use big data analytics to stay one step ahead of cyber criminals.\u003c\/p\u003e \u003cp\u003eOnly 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. \u003ci\u003eFraud and Fraud Detection\u003c\/i\u003e 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.\u003c\/p\u003e \u003cp\u003eData analytics software is a crucial element in bringing fraud detection into the 21\u003csup\u003est\u003c\/sup\u003e century. The techniques in \u003ci\u003eFraud and Fraud Detection\u003c\/i\u003e 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 \u003ci\u003eFraud and Fraud Detection\u003c\/i\u003e, readers have access to a fully functional version of IDEA.\u003c\/p\u003e \u003cp\u003eA certain amount of fraud risk is acceptable in any organization--and Sunder Gee demonstrates this point artfully in \u003ci\u003eFraud and Fraud Detection\u003c\/i\u003e. 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. \u003ci\u003eFraud and Fraud Detection\u003c\/i\u003e opens up a clear path for accessing this untapped value.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eBig 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 \u003ci\u003eFraud and Fraud Detection\u003c\/i\u003e comes in, showing auditors, investigators, and risk professionals how to use big data analytics to stay one step ahead of cyber criminals. \u003c\/p\u003e\u003cp\u003eOnly 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. \u003ci\u003eFraud and Fraud Detection\u003c\/i\u003e 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. \u003c\/p\u003e\u003cp\u003eData analytics software is a crucial element in bringing fraud detection into the 21\u003csup\u003est\u003c\/sup\u003e century. The techniques in \u003ci\u003eFraud and Fraud Detection\u003c\/i\u003e 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 \u003ci\u003eFraud and Fraud Detection\u003c\/i\u003e, readers have access to a fully functional version of IDEA. \u003c\/p\u003e\u003cp\u003eA certain amount of fraud risk is acceptable in any organization--and Sunder Gee demonstrates this point artfully in \u003ci\u003eFraud and Fraud Detection\u003c\/i\u003e. 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. \u003ci\u003eFraud and Fraud Detection\u003c\/i\u003e opens up a clear path for accessing this untapped value.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eSUNDER GEE\u003c\/b\u003e spent much of his career at the Canada Revenue Agency, including holding the position of Electronic Commerce Audit Advisor for the Head Office. He has advised tax authorities around the world on the topic of computer-assisted audit techniques (CAAT). Sunder has prepared widely respected corporate training material and college courses on forensic accounting, anti-money laundering, and data analytics.\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 352\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.3 x 10 x 7.1 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e December 03, 2014\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":42127776481415,"sku":"9781118779651","price":97.92,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0601\/2623\/2711\/files\/314e10978e611ff56937d4bdcf7a4d74.webp?v=1732590574","url":"https:\/\/booksby.splitshops.com\/products\/fraud-and-fraud-detection-website-a-data-analytics-approach-hardcover","provider":"Books by splitShops","version":"1.0","type":"link"}