[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-169032-en":3,"doc-seo-169032-105":30,"detail-sidebar-cat-1-en-105":93},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":11,"category_id":12,"category_name":13,"doc_title":14,"doc_description":15,"doc_content":16,"file_id":17,"file_url":18,"file_type":19,"file_size":20,"view_count":4,"is_deleted":4,"is_public":11,"is_downloadable":11,"audit_status":11,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":15,"update_tm":28,"read_time":29},169032,687207017582,"Ethan Miller","https://ap-avatar.wpscdn.com/davatar_994ba38a5ba835b3df7d355c54d3ed8d",1,11,"Presentations","Applications of Data Analytics in Auditing - Course Presentation Overview","A focused course presentation on how data analytics enhances external auditing by improving accuracy and reducing human bias in complex problem solving. It explains the role of analytics in the external audit, defines criteria for selecting analytics-capable audit candidates, and highlights common pitfalls that can undermine successful engagements. Key advantages include customization, predictability, population-level testing, data visualization and insight, and overall efficiency through performance and better information structuring.","www.pwc.com\nApplications of data analytics in auditing\n1\nCourse contents\nOverview\nKey areas of application\n2a Internal controls\n2b Substantive testing\n2c Risk assessment\nCase study\nQuestions\n2\nOverview\nThe right mix of mind and machine can help reduce the impact of human bias and yield more accurate answers, even for complex problems.\n3\nhttp://www.pwc.com/us/en/advisory-services/data-possibilities/big-decision-survey.html\nLearning objectives\nAt the end of this section, students will be able to–\nExplain the role data analytics has in the external audit\nOutline the criteria used to gauge potential analytics candidates\nIdentify common pitfalls that can undermine a successful audit\n4\nAdvantages of data analytics in audit\nHow can data analytics create advantages for external audit work?\n5\nAdvantages of data analytics in audit\n6\nCustomization\nTailor the analytics solutions to support client needs (e.g. journal entry testing)\nPredictability\nAbility to replicate processes across type of work and client engagements\nTest Size\nProvides ability to test entire population instead of a sample\nData Insight\nVisualization and analytics tools allow for a better view of the data and pinpoints areas of interest for auditors\nEfficiency\nPerformance of data analytics maximizes time spent structuring data into information\nFramework for selecting analytics–enabled audit(s)\n7\nData availability & complexity\nAvailability: Is data available for the process in an easy to access and use format?\nStart\nNot a likely analytics candidate\nPotential analytics candidate\nStrong analytics candidate\n?\nFramework for selecting analytics–enabled audit(s) (continued)\n8\nData availability & complexity\nAvailability: Is data available for the process in an easy to access and use format?\nComplexity:Are there multiple sources? Is the data able to be validated for consistency and completeness?\nNo\nYes\nStart\nNot a likely analytics candidate\nPotential analytics candidate\nStrong analytics candidate\n?\n?\nFramework for selecting analytics–enabled audit(s) (continued)\n9\nData availability & complexity\nAvailability: Is data available for the process in an easy to access and use format?\nFamiliarity: Does the team have knowledge of the business process to understand the risks and data?\nComplexity:Are there multiple sources? Is the data able to be validated for consistency and completeness?\nNo\nNo\nYes\nYes\nStart\nNot a likely analytics candidate\nPotential analytics candidate\nStrong analytics candidate\nProcess and data knowledge\n?\n?\n?\nFramework for selecting analytics–enabled audit(s) (continued)\n10\nData availability & complexity\nAvailability: Is data available for the process in an easy to access and use format?\nRepeatability: Does the area represent a common audit focus areas that would repeat in the future?\nFamiliarity: Does the team have knowledge of the business process to understand the risks and data?\nComplexity:Are there multiple sources? Is the data able to be validated for consistency and completeness?\nNo\nNo\nNo\nYes\nYes\nStart\nNot a likely analytics candidate\nPotential analytics candidate\nStrong analytics candidate\nProcess and data knowledge\nAbility to leverage in future\n?\n?\n?\n?\nYes\nFramework for selecting analytics–enabled audit(s) (continued)\n11\nData availability & complexity\nAvailability: Is data available for the process in an easy to access and use format?\nRepeatability: Does the area represent a common audit focus areas that would repeat in the future?\nFamiliarity: Does the team have knowledge of the business process to understand the risks and data?\nComplexity:Are there multiple sources? Is the data able to be validated for consistency and completeness?\nApplicability: Is the dataset or risk area applicable to other potential audits or business units?\nNo\nNo\nNo\nNo\nYes\nYes\nYes\nStart\nNot a likely analytics candidate\nPotential analytics candidate\nStrong analytics candidate\nProcess and data knowledge\nAbility to leverage in future\n?\n?\n?\n?\n?\nYes\nFramework for selecting analytics–enabled au","cbCaijjKA7E7LWNg","https://ap.wps.com/l/cbCaijjKA7E7LWNg","pptx",1815566,57,"English","en",105,"# Course contents\n## Overview\n## Key areas of application\n### Internal controls\n### Substantive testing\n### Risk assessment\n## Learning objectives\n## Advantages of data analytics in audit\n## Framework for selecting analytics-enabled audit(s)\n## Data availability & complexity\n## Case study\n## Barriers to success\n## Common pitfalls to avoid","[{\"question\":\"How does data analytics help improve external audit quality?\",\"answer\":\"It combines “mind and machine” to reduce the impact of human bias and produce more accurate answers, even for complex problems.\"},{\"question\":\"What criteria are used to gauge whether an audit is a good analytics candidate?\",\"answer\":\"The selection framework evaluates data availability, complexity, team familiarity with the process and risks, repeatability, and applicability to other audits or business units.\"},{\"question\":\"What are common pitfalls that can undermine a successful audit when using analytics?\",\"answer\":\"Failing to update audit methodology when internal controls change—such as modifications in key calculation logic—is highlighted as a common pitfall to avoid.\"}]","Applications of Data Analytics in Auditing - Course Presentation Overview | PPTX",1788243514,20,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":14,"keywords":34,"description":15,"schema_data":35,"social_meta":88,"head_meta":90,"extra_data":92,"updated_unix":28},"applications-of-data-analytics-in-auditing-course-presentation-overview","",{"@graph":36,"@context":87},[37,54,70],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":11},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/template/","Template",2,{"item":49,"name":13,"@type":43,"position":50},"https://docshare.wps.com/template/presentations/",3,{"item":52,"name":14,"@type":43,"position":53},"https://docshare.wps.com/template/applications-of-data-analytics-in-auditing-course-presentation-overview/169032/",4,{"url":52,"name":14,"@type":55,"author":56,"headline":14,"publisher":58,"fileFormat":61,"inLanguage":23,"description":15,"dateModified":62,"datePublished":63,"encodingFormat":61,"isAccessibleForFree":64,"interactionStatistic":65},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/vnd.openxmlformats-officedocument.presentationml.presentation","2026-09-05","2026-09-01",true,{"@type":66,"interactionType":67,"userInteractionCount":69},"InteractionCounter",{"@type":68},"ViewAction",5,{"@type":71,"mainEntity":72},"FAQPage",[73,79,83],{"name":74,"@type":75,"acceptedAnswer":76},"How does data analytics help improve external audit quality?","Question",{"text":77,"@type":78},"It combines “mind and machine” to reduce the impact of human bias and produce more accurate answers, even for complex problems.","Answer",{"name":80,"@type":75,"acceptedAnswer":81},"What criteria are used to gauge whether an audit is a good analytics candidate?",{"text":82,"@type":78},"The selection framework evaluates data availability, complexity, team familiarity with the process and risks, repeatability, and applicability to other audits or business units.",{"name":84,"@type":75,"acceptedAnswer":85},"What are common pitfalls that can undermine a successful audit when using analytics?",{"text":86,"@type":78},"Failing to update audit methodology when internal controls change—such as modifications in key calculation logic—is highlighted as a common pitfall to avoid.","https://schema.org",{"og:url":52,"og:type":89,"og:title":14,"og:site_name":59,"og:description":15},"article",{"robots":91,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":94},[95,98,103,108,113,118,123,128,132],{"id":12,"doc_module":11,"doc_module_name":46,"category_name":13,"show_sort_weight":96,"slug":97},90,"presentations",{"id":99,"doc_module":11,"doc_module_name":46,"category_name":100,"show_sort_weight":101,"slug":102},12,"Resumes",80,"resumes",{"id":104,"doc_module":11,"doc_module_name":46,"category_name":105,"show_sort_weight":106,"slug":107},14,"Invoices",70,"invoices",{"id":109,"doc_module":11,"doc_module_name":46,"category_name":110,"show_sort_weight":111,"slug":112},15,"Posters",60,"posters",{"id":114,"doc_module":11,"doc_module_name":46,"category_name":115,"show_sort_weight":116,"slug":117},16,"Social Media",50,"social-media",{"id":119,"doc_module":11,"doc_module_name":46,"category_name":120,"show_sort_weight":121,"slug":122},17,"Forms",40,"forms",{"id":124,"doc_module":11,"doc_module_name":46,"category_name":125,"show_sort_weight":126,"slug":127},18,"Letters",30,"letters",{"id":129,"doc_module":11,"doc_module_name":46,"category_name":130,"show_sort_weight":69,"slug":131},21,"Paper Templates","papers-templates",{"id":133,"doc_module":11,"doc_module_name":46,"category_name":134,"show_sort_weight":4,"slug":135},158,"General","general-158"]