[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-159654-105":59,"doc-detail-159654-en":135},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":128,"head_meta":130,"extra_data":132,"updated_unix":134},105,"en","data-analytics-and-the-auditor-key-considerations-for-auditors","Data analytics and the auditor - Key considerations for auditors","","The article explains how auditors should consider and apply data analytics when planning and performing audits. It links data analytics to the Advanced Audit and Assurance syllabus outcomes, emphasizing understanding of “data analytics,” improved audit efficiency, and the impact of emerging technologies such as big data and AI. It defines data analytics, outlines common business uses, describes how audit firms implement it via platforms and CAATs, and gives practical audit procedure examples and resulting benefits.",{"@graph":69,"@context":127},[70,84,106],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":20,"@type":76,"position":81},"https://docshare.wps.com/document/exam/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/data-analytics-and-the-auditor-key-considerations-for-auditors/159654/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/data-analytics-and-the-auditor-key-considerations-for-auditors/159654.png","ImageObject",300,407,{"name":92,"@type":93},"Olivia Brown","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-11-01","2026-08-29",true,{"@type":102,"interactionType":103,"userInteractionCount":105},"InteractionCounter",{"@type":104},"ViewAction",15,{"@type":107,"mainEntity":108},"FAQPage",[109,115,119,123],{"name":110,"@type":111,"acceptedAnswer":112},"How does the article define data analytics and what value does it bring to business?","Question",{"text":113,"@type":114},"Data analytics is described as examining available data to draw conclusions. It helps businesses identify opportunities, realize cost savings, and make faster, more effective decisions.","Answer",{"name":116,"@type":111,"acceptedAnswer":117},"What kinds of learning outcomes does the Advanced Audit and Assurance syllabus include regarding data analytics?",{"text":118,"@type":114},"It covers how IT supports the auditor, including appropriate use of CAATs and data analytics, and it discusses developments in emerging technologies such as big data and their potential impact on audit conduct and audit quality.",{"name":120,"@type":111,"acceptedAnswer":121},"How can audit firms use data analytics in practice?",{"text":122,"@type":114},"Audit firms use data analytics to reduce risk and add value by extracting and analysing client data, using visual tools to present patterns and correlations, and tailoring audit programmes to client-specific risks.",{"name":124,"@type":111,"acceptedAnswer":125},"What audit procedure examples does the article provide, and what benefits follow?",{"text":126,"@type":114},"Examples include NRV testing, revenue trend analysis, matching purchase orders to invoices and payments, and segregation of duties testing. Benefits highlighted are improved audit quality and efficiency through better understanding and consistent application of analytics tools.","https://schema.org",{"og:url":83,"og:type":129,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":131,"canonical":83},"index,follow",{"doc_id":133,"site_id":62},159654,1788020809,{"code":4,"msg":5,"data":136},{"doc_id":133,"user_id":137,"nickname":92,"user_avatar":138,"doc_module":4,"category_id":19,"category_name":20,"doc_title":65,"doc_description":67,"doc_content":139,"file_id":140,"file_url":141,"file_type":142,"file_size":143,"view_count":105,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":19,"language":144,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":145,"faqs":146,"seo_title":147,"seo_description":67,"update_tm":134,"read_time":52},16904993612988,"https://ap-avatar.wpscdn.com/davatar_a8503ba1806abce46bf441b54a3ca4cd","Data analytics and the auditor | ACCA Global [https://www.accaglobal.com/hk/en/student/exam-support-resources/profe..](https://www.accaglobal.com/hk/en/student/exam-support-resources/profe..) .  \nData analytics and the auditor  \nACCA-[https://www.accaglobal.com](https://www.accaglobal.com)  \nThis article provides some insight into the matters which need to be considered by  \nauditors when using data analytics. The Advanced Audit and Assurance syllabus  \nincludes the following learning outcomes:  \n Assess and describe how IT can be used to assist the auditor and recommend the use of Computer-assisted audit techniques (CAATs) and data analytics  \nwhere appropriate, and  \n Discuss current developments in emerging technologies, including big data and the use of data analytics and the potential impact on the conduct of an  \naudit and audit quality.  \nIn addition, candidates are expected to have a broad understanding of what is  \nmeant by the term 'data analytics', how it may be used in the audit and how it can  \nimprove audit efficiency.  \nWhat is data analytics?  \nData analytics has been around in various forms for a long time, but businesses are  \nfinding increasingly sophisticated and timely methods to utilise data analytics to  \nenhance their operations. Data analytics enable businesses to identify new  \nopportunities, to harness costs savings and to enable faster more effective decision making. Whether it is the ability to identify potential for new products and services or to detect the potential loss of clients in order to direct efforts to encourage them  \nto stay, data analytics is everywhere in business today.  \nAt a basic level data analytics is examining the data available to draw conclusions.  \nThis isn’t a new concept but there are growing trends towards more integrated and more timely use of data from multiple sources to help inform business decisions or  \nto draw conclusions. The data used by companies is likely to be both internal and  \nexternal and include quantitative and qualitative data. This is often aided by  \nspecialised software which may have to be developed to enable the information  \nfrom many different sources and formats to be first combined and then analysed. In some cases the formats covered include audio and visual analysis in addition to the  \nusual text and number formats.  \nWhat are the uses of data analytics?  \nThe possible uses for data analytics are as diverse as the businesses that use them.  \nThey can be as simple as production of Key Performance Indicators from  \nunderlying data to the statistical interrogation of scientific results to test  \nhypotheses. Firms may use data analytics to predict market trends or to influence  \nconsumer behaviour. Data mining of customer feedback for repeated common  \nphrases might give insights into where improvements in customer service are  \nneeded or to which competitor customers may be most likely to move to. Voice  \npattern recognition can be used to identify areas of customer dissatisfaction. Police  \n1 of 4 09/01/2021, 16:22  \nData analytics and the auditor | ACCA Global [https://www.accaglobal.com/hk/en/student/exam-support-resources/profe..](https://www.accaglobal.com/hk/en/student/exam-support-resources/profe..) .  \nforces can collate crime reports to identify repeat frauds across regions or even  \ncountries, enabling consolidated overview to be taken. The possibilities with data  \nanalytics can appear limitless as emerging artificial intelligence can allow for faster  \nanalysis and adaptation than humans can undertake.  \nHow can data analytics be used by audit firms?  \nThe IAASB defines data analytics for audit as the science and art of discovering and  \nanalysing patterns, deviations and inconsistencies, and extracting other useful  \ninformation in the data underlying or related to the subject matter of an audit  \nthrough analysis, modelling and visualisation for the purpose of planning and  \nperforming the audit  \nThe larger audit firms and incre","cbCaini1UsHlE18K","https://ap.wps.com/l/cbCaini1UsHlE18K","pdf",220541,"English","# What is data analytics?\n# What are the uses of data analytics?\n# How can data analytics be used by audit firms?\n# Examples of the use of data analytics to perform audit procedures\n# Benefits of data analytics","[{\"question\":\"How does the article define data analytics and what value does it bring to business?\",\"answer\":\"Data analytics is described as examining available data to draw conclusions. It helps businesses identify opportunities, realize cost savings, and make faster, more effective decisions.\"},{\"question\":\"What kinds of learning outcomes does the Advanced Audit and Assurance syllabus include regarding data analytics?\",\"answer\":\"It covers how IT supports the auditor, including appropriate use of CAATs and data analytics, and it discusses developments in emerging technologies such as big data and their potential impact on audit conduct and audit quality.\"},{\"question\":\"How can audit firms use data analytics in practice?\",\"answer\":\"Audit firms use data analytics to reduce risk and add value by extracting and analysing client data, using visual tools to present patterns and correlations, and tailoring audit programmes to client-specific risks.\"},{\"question\":\"What audit procedure examples does the article provide, and what benefits follow?\",\"answer\":\"Examples include NRV testing, revenue trend analysis, matching purchase orders to invoices and payments, and segregation of duties testing. Benefits highlighted are improved audit quality and efficiency through better understanding and consistent application of analytics tools.\"}]","Data analytics and the auditor - Key considerations for auditors | PDF"]