{"id":4560,"date":"2014-01-11T21:29:35","date_gmt":"2014-01-11T15:59:35","guid":{"rendered":"http:\/\/ivyproschool.com\/blog\/?p=4560"},"modified":"2024-11-09T16:45:54","modified_gmt":"2024-11-09T11:15:54","slug":"spotlight-fraud-analytics","status":"publish","type":"post","link":"https:\/\/ivyproschool.com\/blog\/spotlight-fraud-analytics\/","title":{"rendered":"Spotlight: Fraud Analytics"},"content":{"rendered":"<p><i>Is there an unauthorized payment transaction to a vendor?<\/i><\/p>\n<p><i>Does a suspicious amendment to banking details show up in payroll or supplier data records?<\/i><\/p>\n<p><i>Can weakness within the client system be identified to prevent fraud recurrence?<\/i><\/p>\n<p><i>How to detect SIM card cloning?<\/i><\/p>\n<p>With increase in the use of net, mobile, IVRS (Interactive Voice Response System), ATM, commercial and retail electronic transaction across various sectors (like banking, insurance, retail), manual systems and personal supervisions are no longer sufficient to detect or prevent fraud. This has driven a need for data mining and analysis techniques that uncover patterns or anomalies in transactions, customer applications and records. Besides, business reorganization or downsizing can weaken the information system of an organisation and present opportunities of <a href=\"http:\/\/www.nysscpa.org\/cpajournal\/2003\/0303\/features\/f032803.htm\">fraudulent financial reporting<\/a> and <a href=\"http:\/\/www.sbmonthly.com\/?p=2518\">asset misappropriation<\/a>.\u00a0 During <a href=\"http:\/\/www.fanews.co.za\/article\/fraud-crime\/5\/general\/1094\/the-effects-of-fraud-on-businesses-in-the-economic-downturn\/6479\">economic downturns<\/a>, the incidences of fraud increase, calling for real-time monitoring and controls of fraud. Use of Fraud Analytics in such scenarios facilitates transaction monitoring, risk profiling and client verification for minimal losses to the organisation..<\/p>\n<p><b>Defining Fraud Analytics<\/b><\/p>\n<p><i>An integrated methodology that uses statistical methods, techniques of analysis and data mining, with sophisticated tools or dedicated software; for continuous monitoring, investigation, detection and prevention of fraudulent transactions.<\/i><\/p>\n<p><b>Industry verticals using Fraud Analytics: <\/b>Banking, Financial Services, Insurance, Retail, Telecommunications<\/p>\n<p><a href=\"http:\/\/www.ag.unr.edu\/gf\/dm\/dmfraud.pdf\">Data mining<\/a> models, statistical analysis techniques using correlation, trend and time-series, behaviour profiling, peer analysis, artificial intelligence (AI), predictive modelling, link, collaborative and interactive analyses, transaction monitoring and risk profiling approaches, are various tools of Fraud Analytics applied for an integrated Fraud Management.<\/p>\n<p><b>Key roles<\/b><\/p>\n<p>Real time alerts of fraud<\/p>\n<p>Detecting fraudulent patterns<\/p>\n<p>Eliminating new frauds<\/p>\n<p>Minimising losses from fraud<\/p>\n<p>Protection against habitual offenders<\/p>\n<p>Internal fraud monitoring<\/p>\n<p>Supports forensic accounting<\/p>\n<p>The bottom line is that, the ability to quickly detect and deter fraudulent activity without impacting customer base or internal workforce culture, has a direct bearing on the growth and profits of an organisation. A great case study that exemplifies why Fraud Analytics is core to an enterprise is that of <a href=\"http:\/\/iveybusinessjournal.com\/topics\/the-organization\/management-controls-the-organizational-fraud-triangle-of-leadership-culture-and-control-in-enron#.UtH2XDdl8iQ\">Enron<\/a>.<\/p>\n<p>With systems becoming more complex, organizations are deploying <a href=\"http:\/\/www.sas.com\/en_us\/industry\/banking\/fraud-management.html\">customised enterprise-wide real-time fraud solutions<\/a> that offer flexible architectures and operational environments for fraud detection and prevention. As the <a href=\"http:\/\/www.digitaljournal.com\/pr\/1676657\">market for Fraud Prevention and Detection increases<\/a>, the career prospects in this niche analytics field are tremendous for those with a fascination for post-operational analysis and trouble shooting, or software developing skills.<\/p>\n<p><b>Suggested Reads<\/b>:<\/p>\n<p>Fraud Analytics: Strategies and Methods for Detection and Prevention (John Wiley &amp; Sons, Published 29 November 2013)<b> &#8211; <\/b>Delena D. Spann<\/p>\n<p><a href=\"http:\/\/deloitteblog.co.za\/wp-content\/uploads\/2013\/11\/The-importance-of-data-analytics-in-fraud-detection-and-prevention.pdf\">Forensic Data Analytics: The importance of Data Analytics in Fraud Detection and Prevention<\/a> &#8211; Deloitte<\/p>\n<p><a href=\"http:\/\/www.ey.com\/Publication\/vwLUAssets\/EY_-_Forensic_Data_Analytics\/$FILE\/EY-Data-Analytics-The-role-of-data-analytics-in-fraud-prevention.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">The Role in Data Analytics in Fraud Prevention<\/a> \u2013 Ernst &amp; Young<\/p>\n<p><a href=\"http:\/\/www.infosys.com\/FINsights\/Documents\/pdf\/issue10\/insurance-fraud-detection.pdf\">Using Analytics for Insurance Fraud Detection<\/a> &#8211; Infosys<\/p>\n","protected":false},"excerpt":{"rendered":"<p>As systems become more complex with widespread use of internet, mobile, ATM and cards,  organizations are deploying Fraud Analytics solutions for online and real-time fraud detection and prevention. Data analytics is also being leveraged for fraud management within organisations. What is Fraud Analytics? How does it help an organisation? What are the career prospects?<\/p>\n","protected":false},"author":7,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[137,134,133,135,125,132,136],"class_list":["post-4560","post","type-post","status-publish","format-standard","hentry","category-it-security","tag-career-prospects","tag-defintion","tag-fraud-analytics","tag-industry-verticals","tag-key-roles","tag-spotlight","tag-suggested-reads"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Fraud Analytics: Tools to Detect and Prevent Fraud<\/title>\n<meta name=\"description\" content=\"Learn how fraud analytics identifies suspicious patterns and safeguards organizations using AI, data mining, and predictive modeling.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, 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