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. Forensic accounting is the hot new field in accounting, involving essential investigative techniques that uncover accounting fraud and enable practitioners to be effective in covering the needs of the engagement. 'Using Analytics to Detect Possible Fraud: Tools and Techniques' presents a plain-English guide to forensic accounting, providing analytical tools and techniques that allow professionals analyzing financial statements to zero in on anomalies. Certified Fraud Examiner Pamela Mantone introduces a variety of techniques starting from the very basic, simple analytics to more advanced analytical tools that equip forensic accountants, forensic investigators, and fraud investigators to develop further investigative work. Featuring case studies throughout from four companies, illustrating the application of tools included in the book, 'Using Analytics to Detect Possible Fraud' demonstrates how to interpret the results of the testing in each case study, with techniques including: Liquidity ratios Profitability ratios Horizontal analysis Vertical analysis Cash realized from operations Analyzing cash realized from operations to net income from operations The Beneish M-Score Model Dechow-Dichev Accrual Quality Sloan's Accruals Jones Non-discretionary Accruals The Piotroski F-Score Model Lev-Thiagarajan's 12 Signals Benford's Law Z-Score Analysis Correlation Regression Analysis Essential reading for every financial investigator, 'Using Analytics to Detect Possible Fraud' allows practitioners to focus on areas that require further investigative techniques and to unearth deceptive financial reporting. 'I have had the pleasure of working with Pam Mantone over the past ten years, not only in the areas of fraud prevention and detection, but also in the area of litigation support involving significant fraud cases. Pam is a tenacious fraud examiner who has made a commitment to advance her skills to the highest level attainable in the profession. This exceptional book is an example of her dedication to the detection of fraud using advanced analytical techniques. In my opinion, her book should be required reading and an essential part of the technical library of any devoted fraud examiner.' --Mike Costello, CPA/CFE, Practice Leader, Litigation Support, Decosimo Advisory Services Proven tools and techniques for effective forensic accounting Enabling you to conduct effective and efficient internal investigations, 'Using Analytics to Detect Possible Fraud' clearly explains the investigative forensic process without unnecessary jargon or mathematical analysis. Certified Fraud Examiner Pamela Mantone provides an abundance of proven techniques gleaned from her broad experience, covering diverse areas of knowledge and proficiency. Featuring case studies of four companies, each undergoing distinct fraud investigations, 'Using Analytics to Detect Possible Fraud' comprehensively looks at: The basics everyone should know Cash flows and cash flow statements The Beneish M-Score Model Accruals Analysis techniques using historical financial statements Benford's Law Get a solid introduction to forensic accounting. 'Using Analytics to Detect Possible Fraud' prepares you for the forensic computer investigative process, revealing what it takes to uncover possible fraud, from beginning to end.