標(biāo)題: Titlebook: Audit Analytics; Data Science for the J. Christopher Westland Book 2024Latest edition The Editor(s) (if applicable) and The Author(s), unde [打印本頁(yè)] 作者: Encomium 時(shí)間: 2025-3-21 18:08
書(shū)目名稱Audit Analytics影響因子(影響力)
作者: 耐寒 時(shí)間: 2025-3-21 22:42
Foundations of Audit Analytics, language for analytics, and offers many features that reduce the cost of data acquisition, preparation, exploration, and summarization. It provides a scientific basis for audit decisions underlying the auditor’s opinion. Effective legal defense of audit methods is predicated on data analytics and s作者: GENUS 時(shí)間: 2025-3-22 04:22 作者: 不朽中國(guó) 時(shí)間: 2025-3-22 08:28 作者: nerve-sparing 時(shí)間: 2025-3-22 10:40
Analytical Review: Technical Analysis,a. They are used in all stages of the audit including planning, substantive testing, and final review stage. This chapter surveys a range of R packages that ease technical analysis and data collection tasks in analytical review.作者: 披肩 時(shí)間: 2025-3-22 16:54
Analytical Review: Intelligence Scanning,h information were spotty, unreliable, and scarce, and that, indeed, was considered a prime reason for markets needing annual, audited financial statements. Today, there are numerous social networks, news, and discussion boards that offer both raw and curated, streaming sources of useful business in作者: parallelism 時(shí)間: 2025-3-22 17:37 作者: 憲法沒(méi)有 時(shí)間: 2025-3-22 22:24 作者: 剛開(kāi)始 時(shí)間: 2025-3-23 03:39 作者: 瑣事 時(shí)間: 2025-3-23 06:15 作者: Project 時(shí)間: 2025-3-23 13:28 作者: altruism 時(shí)間: 2025-3-23 15:06 作者: Texture 時(shí)間: 2025-3-23 21:25 作者: Adj異類的 時(shí)間: 2025-3-24 02:00
2197-5736 the application of modern data analytics.Analyzes evidence .This book, using R and RStudio, demonstrates how to render an audit opinion that is legally and statistically defensible; analyze, extract, and manipulate accounting data; build a risk assessment matrix to inform the conduct of a cost-effe作者: cuticle 時(shí)間: 2025-3-24 06:17
Engineering Materials and Processes scientific basis for audit decisions underlying the auditor’s opinion. Effective legal defense of audit methods is predicated on data analytics and statistical methods. This chapter summarizes the subset of R capabilities that are germane to an audit.作者: 得意人 時(shí)間: 2025-3-24 09:58
https://doi.org/10.1007/1-84628-359-0al, and even counterproductive in auditing. This chapter delineates the idiosyncrasies of accounting transactions and summaries, and describes tools to cost-effectively prepare and render decisions from client accounting data.作者: 袋鼠 時(shí)間: 2025-3-24 11:36
Integrated Circuits and Systemsly applied. This chapter delineates construction of the risk assessment matrix-a collaborative “l(fā)earning” worksheet to support a scientific foundation for audit scope, planning, and budgeting prior to initiation of audit field tests.作者: Cholecystokinin 時(shí)間: 2025-3-24 17:28 作者: 鎮(zhèn)痛劑 時(shí)間: 2025-3-24 20:33 作者: 濃縮 時(shí)間: 2025-3-25 02:22 作者: 碎石 時(shí)間: 2025-3-25 06:08
Book 2024Latest editionulate accounting data; build a risk assessment matrix to inform the conduct of a cost-effective audit program; and more. ..Today, information technology plays a pivotal role in financial control and audit: most financial data is now digitally recorded and dispersed among servers, clouds and networks作者: Ancestor 時(shí)間: 2025-3-25 09:21
Engineering Materials and Processesampling and computer tools to conduct statistical samples and opinions based on them are an integral part of modern auditing. This chapter surveys the state of the profession and what the twenty-first century auditor needs to know.作者: Critical 時(shí)間: 2025-3-25 14:25
Plasma-Assisted Molecular Beam Epitaxy 1telligence. The auditor who does not scan for such client and industry intelligence both increases the cost of auditing, and can be considered negligent in not investigating all available information about the financial health of their client.作者: 營(yíng)養(yǎng) 時(shí)間: 2025-3-25 18:41
https://doi.org/10.1007/978-3-031-47464-4Data Science; Machine Learning; Accounting; Auditing; Statistics; Artificial Intelligence作者: 五行打油詩(shī) 時(shí)間: 2025-3-25 22:27
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: 評(píng)論者 時(shí)間: 2025-3-26 01:37 作者: 桶去微染 時(shí)間: 2025-3-26 04:20 作者: handle 時(shí)間: 2025-3-26 10:46 作者: Abominate 時(shí)間: 2025-3-26 13:16 作者: milligram 時(shí)間: 2025-3-26 19:46
Blockchains, Large Language Models, Cybercrime, and Forensics,pter reviews the most encountered security and encryption technologies, with guides to how auditors should assess and manage them. Substantial new capabilities are now available through machine learning and large language models, which are reviewed in this chapter.作者: 粗糙濫制 時(shí)間: 2025-3-27 00:14
Simulated Transactions for Auditing Service Organizations,itors in these reviews can test automated controls by reading a “deck” of known transactions and comparing these with the accounting reports generated by a client’s automated system. This chapter delineates procedures for constructing and using these methods.作者: Licentious 時(shí)間: 2025-3-27 01:31 作者: 結(jié)果 時(shí)間: 2025-3-27 06:03
Use R!http://image.papertrans.cn/b/image/164997.jpg作者: fender 時(shí)間: 2025-3-27 12:37
Engineering Materials and Processes and that accounting systems are well controlled, legal, and accurate. Auditing has become such a ubiquitous phenomenon in the world that academics have chronicled the transition to “Audit Societies.” The early twentieth century saw the standardization of auditors’ tests and reporting. Statistical s作者: intrude 時(shí)間: 2025-3-27 16:45
Engineering Materials and Processes language for analytics, and offers many features that reduce the cost of data acquisition, preparation, exploration, and summarization. It provides a scientific basis for audit decisions underlying the auditor’s opinion. Effective legal defense of audit methods is predicated on data analytics and s作者: 伙伴 時(shí)間: 2025-3-27 18:02
https://doi.org/10.1007/1-84628-359-0utions and characteristics of accounting transactions mean that statistical methods that are applied in other disciplines are likely to prove suboptimal, and even counterproductive in auditing. This chapter delineates the idiosyncrasies of accounting transactions and summaries, and describes tools t作者: CANE 時(shí)間: 2025-3-28 01:33 作者: 沉積物 時(shí)間: 2025-3-28 04:40 作者: SEVER 時(shí)間: 2025-3-28 08:45
Plasma-Assisted Molecular Beam Epitaxy 1h information were spotty, unreliable, and scarce, and that, indeed, was considered a prime reason for markets needing annual, audited financial statements. Today, there are numerous social networks, news, and discussion boards that offer both raw and curated, streaming sources of useful business in作者: VAN 時(shí)間: 2025-3-28 10:59
Metal Organic Chemical Vapor Deposition 2xposed to the experimental and control conditions that are determined by nature or by other factors outside the control of the auditors. This chapter details the cost-effective planning for an audit, based on a deep understanding of natural experiments and the proper analytical tools needed to draw 作者: 粉筆 時(shí)間: 2025-3-28 17:39 作者: 車(chē)床 時(shí)間: 2025-3-28 20:11 作者: Jogging 時(shí)間: 2025-3-28 23:01 作者: 高腳酒杯 時(shí)間: 2025-3-29 04:18 作者: arousal 時(shí)間: 2025-3-29 10:34
Audit Analytics978-3-031-47464-4Series ISSN 2197-5736 Series E-ISSN 2197-5744 作者: 徹底檢查 時(shí)間: 2025-3-29 14:16 作者: Sinus-Node 時(shí)間: 2025-3-29 18:57 作者: 填料 時(shí)間: 2025-3-29 20:32 作者: AVANT 時(shí)間: 2025-3-30 01:45 作者: ellagic-acid 時(shí)間: 2025-3-30 04:07
Das normale Galliumszintigramm,pter reviews the most encountered security and encryption technologies, with guides to how auditors should assess and manage them. Substantial new capabilities are now available through machine learning and large language models, which are reviewed in this chapter.作者: 不溶解 時(shí)間: 2025-3-30 09:54 作者: Induction 時(shí)間: 2025-3-30 12:50
Metal Organic Chemical Vapor Deposition 2Substantive testing directly supports the auditor’s opinion that economic events in the real world are or are not accurately summarized in the financial statements of a firm. This chapter delineates the statistical tools used to insure cost-effective substantive testing in the audit.
