{"title":"Mark J. Nigrini","description":"\u003cp\u003eMark J. Nigrini is a distinguished author renowned for his insightful contributions to the realms of finance and investment, notably specialising in forensic analytics. His works are celebrated for their clarity and depth, making complex financial concepts accessible to professionals and enthusiasts alike.\u003c\/p\u003e\n\n\u003cp\u003eWith a focus on fraud detection and risk assessment, Nigrini's books are essential resources for anyone interested in understanding and applying forensic analytics in practical settings. His methodology often involves using data-driven techniques to uncover irregularities and potential financial misdemeanours, offering readers a robust toolkit for analysis.\u003c\/p\u003e\n\n\u003cp\u003eAmong his acclaimed publications is \u003cem\u003eForensic Analytics\u003c\/em\u003e, a pivotal work that delves into the techniques used to detect anomalies in financial data. Through this and his other works, Mark J. Nigrini empowers readers to critically evaluate financial statements and data, providing valuable skills that are in high demand across finance, auditing, and investigative professions.\u003c\/p\u003e\n\n\u003cp\u003eExplore Mark J. Nigrini's collection to enhance your understanding of forensic finance and investment strategies, and gain unique insights into a field that merges analytical prowess with financial acumen.\u003c\/p\u003e","products":[{"product_id":"forensic-analytics-by-mark-j-nigrini-9781119585763","title":"Forensic Analytics","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003e\u003cb\u003eBecome the forensic analytics expert in your organisation using effective and efficient data analysis tests to find anomalies, biases, and potential fraud—the updated new edition.\u003c\/b\u003e\u003c\/p\u003e\n\n\u003cp\u003e\u003ci\u003eForensic Analytics\u003c\/i\u003e 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 analysing their corporate or public sector data can highlight transactions, balances, or subsets of transactions or balances in need of attention.\u003c\/p\u003e\n\n\u003cp\u003eThese 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.\u003c\/p\u003e\n\n\u003cp\u003eThe 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.\u003c\/p\u003e\n\n\u003cp\u003eEmphasising 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:\u003c\/p\u003e\n\n\u003cul\u003e\n    \u003cli\u003eDescribes the use of statistically-based techniques including Benford’s Law, descriptive statistics, and the vector variation score to detect errors and anomalies.\u003c\/li\u003e\n    \u003cli\u003eShows how to run most of the tests in Access and Excel, and other data analysis software packages for a small sample of the tests.\u003c\/li\u003e\n    \u003cli\u003eApplies the tests under review in each chapter to the same purchasing card data from a government entity.\u003c\/li\u003e\n    \u003cli\u003eIncludes interesting case studies throughout that are linked to the tests being reviewed.\u003c\/li\u003e\n    \u003cli\u003eIncludes two comprehensive case studies where data analytics could have detected the frauds before they reached multi-million-dollar levels.\u003c\/li\u003e\n    \u003cli\u003eIncludes 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.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eWritten by a prominent educator and researcher in forensic accounting and auditing, the new edition of \u003ci\u003eForensic Analytics: Methods and Techniques for Forensic Accounting Investigations\u003c\/i\u003e is an essential resource for forensic accountants, auditors, comptrollers, fraud investigators, and graduate students.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Unknown","offers":[{"title":"Default Title","offer_id":47000622727404,"sku":"9781119585763","price":190.99,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/16804693482586.jpg?v=1763290327"}],"url":"https:\/\/bookhero.pro\/collections\/mark-j-nigrini.oembed","provider":"Book Hero","version":"1.0","type":"link"}