...
【24h】

Spotlight on

机译:聚光灯

获取原文
获取原文并翻译 | 示例
           

摘要

What technologies are having the biggest impact on auditing? With advanced technologies growing exponentially, firms should embrace them quickly. Doing so will produce more efficient, higher-quality audits that are cost-effective for clients and also improve peer review. Consider that:1. Robotic process automation mimics a human's interaction with software, performing high-volume, repeatable tasks within seconds.2. Automation lets all auditors perform advanced analytics - whether they know code or not.3. Leveraging Al and machine learning increases efficiency by significantly reducing human error and enables studying historical data to cut costs.How are you helping auditors leverage technology?Our audit solutions use data to drive audits and Al to help perform them. Some examples include:1.TeamMate Analytics considers 100% population testing, letting auditors select tests, configure and chain them together for an automated workflow.2. Proactive diagnostics in CCH Axcess Knowledge Coach indicate recommended answers or potential errors, creating effective audits from the start. And automatic prompts alert auditors when to consider further document analysis of identified risks using Teammate Analytics.3. Through machine learning, CCH Axcess Financial Prep intelligently groups tax codes, automatically creates business tax reports, and instantly produces tax balances for preparing returns.
机译:什么技术对审计产生最大的影响?通过呈指数增长的先进技术,公司应快速拥抱它们。这样做会产生更高效,更高质量的审计,对客户具有成本效益,还可以改善同行评审。考虑一下:1。机器人过程自动化模仿人类与软件的互动,在秒内执行高卷,可重复任务。自动化让所有审计师都执行高级分析 - 无论他们是否知道代码.3。利用AL和机器学习通过显着减少人类错误来提高效率,并使历史数据能够降低成本。您是否帮助审计员利用技术?我们的审计解决方案使用数据来驱动审计和AL来帮助执行它们。一些示例包括:1。1. eAcmate分析考虑了100%的人口测试,让审计员选择测试,配置和将它们一起用于自动工作流程。 CCH Axcess知识教练中的主动诊断表示建议的答案或潜在错误,从开始时创建有效的审核。自动提示警告审计员何时考虑使用队友分析的识别风险的进一步文档分析.3。通过机器学习,CCH Axcess Financial Prep智能群体税收代码,自动创建业务税务报告,并立即生产税收余额来准备回报。

著录项

  • 来源
    《Accounting today》 |2021年第9期|1820222426|共5页
  • 作者

  • 作者单位
  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号