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CSW:公共部门欺诈风险解决方案指南(英文版)(12页).PDF

上传人: 国*** 编号:56244 2021-11-29 12页 1.82MB

1、How to Detect and Stop Fraud, Waste, and Misuse in Employee Expenses A Best Practices Guide for Mitigating Purchase Card and Travel and Expense Risks 2021 SAP SE or an SAP affiliate company. All rights reserved. 1/12 sponsored by 2/12 2021 SAP SE or an SAP affiliate company. All rights reserved. How

2、 to Detect and Stop Fraud, Waste, and Misuse in Employee Expenses Occupational fraud is the silent killer of business. It is universally faced by all companies, whether large corporations or small- to mid-sized businessno one is immune. According to the Association of Certified Fraud Examiners (ACFE

3、) 2018 Global Fraud Study, the typical organisation loses 5% of revenues each year to fraud with a median loss of $130,000 per fraud case. The type of business youre in doesnt seem to matter either. Fraudsters can be found in every industry and across all geographies. Perpetrators range from high-le

4、vel executives to regular employees. Whats eye-opening is that roughly 89% of fraudsters are first-time offenders with clean employment histories. This means they are hard to spot before you hire them. In fact, they usually dont take a job with the intention to defraud their employer, but nonetheles

5、s they seize the opportunity and employers fall victim to their schemes. Among the most common types of fraud involves the use of purchase cards (P-Cards) and travel & expense (T&E) reimbursements, accounting for 14% of all fraud, according to the ACFE. Often, employees start with cheating on expens

6、e reports, then progress to other types of fraud. $7+ Billion in total losses worldwide annually due to fraud Fraud by the numbers 5% of revenues lost to fraud annually 14% of fraud involves expense reimbursement schemes 16 months median time before detection $130,000 median loss per case 89% of fra

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本文主要讨论了如何检测和阻止员工费用中的欺诈、浪费和滥用。文章指出,欺诈是企业普遍面临的问题,平均每年造成5%的营收损失,其中14%的欺诈涉及费用报销方案。文章强调,预防措施和控制系统的存在并不能完全避免欺诈,因此需要及时的检测系统来发现和解决问题。文章详细介绍了使用数据分析来发现异常行为和预防未来发生的问题,并强调了自动化数据分析在检测欺诈模式和预防未来发生的问题中的重要性。文章还讨论了如何通过数据分析来减少员工购买卡和差旅费用中的风险,并强调了持续监控在及时发现欺诈、浪费和滥用中的作用。最后,文章介绍了Concur Detect by Oversight解决方案,该解决方案结合了Oversight的支出管理和风险缓解专业知识与SAP Concur的数据和技术,以简化组织的费用审计和合规程序。
如何有效检测和阻止员工费用中的欺诈、浪费和滥用? 数据分析和人工智能如何帮助企业减少员工费用欺诈风险? 如何通过持续监控和自动化数据分析减少员工费用欺诈损失?
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