scholarly journals A Malaysian Secondary Standard Dosimetry Laboratory participation in the IAEA/WHO Postal Dose Quality Audit: Data Analysis 2009 – 2019

2021 ◽  
Vol 1106 (1) ◽  
pp. 012003
Author(s):  
N Abdullah ◽  
M T Dolah
Keyword(s):  
Data Analysis ◽  
Secondary Standard ◽  
Quality Audit ◽  
Audit Data

Updating Audit Standard—Enabling Audit Data Analysis

2013 ◽  
Vol 27 (1) ◽  
pp. 325-331 ◽  
Author(s):  
William R. Titera
Keyword(s):  
Data Analysis ◽  
Audit Process ◽  
Private Company ◽  
Continuous Auditing ◽  
External Auditors ◽  
Financial Statement Audit ◽  
Audit Data ◽  
Depth Analysis ◽  
Audit Standard ◽  
Audit Standards

ABSTRACT This paper highlights the emerging role of data analysis on the financial statement audit and its value throughout the audit process, particularly in providing audit evidence. It raises the issue of needed revisions to the Audit Standards, whether for public or private company audits, and illustrates how certain of the current Audit Standards inhibit the external auditors' use of enhanced data analysis and continuous auditing techniques. While this whitepaper identifies a few audit standards that could be revised in light of current technological capabilities, it does not purport to address all needed revisions. Rather, it recommends that a more in-depth analysis be undertaken to develop needed guidance, as well as a list of recommended changes to the standards.

scholarly journals General Foundation Programs (GFPs) Student Entry and Exit Standards

2021 ◽  
Author(s):  
Ibtisam Saed Al-Rusheidi
Keyword(s):  
Quality Assurance ◽  
Data Analysis ◽  
Frequency Of Occurrence ◽  
Analysis Method ◽  
Entry And Exit ◽  
Descriptive Data ◽  
Sustainable Practices ◽  
Quality Audit ◽  
Audit Reports ◽  
Distribution Frequency

This paper assessed the performance of General Foundation Programs (GFPs) in Oman in the area of 'Student Entry and Exit Standards'. Data was collected from the GFP quality audit reports prepared and published by Oman Authority for Academic Accreditation and Quality Assurance of Education (OAAAQA). The study adopted a simple descriptive data analysis method, consisting of identifying the formal conclusions issued by OAAAQA (Commendations, Affirmations, and Recommendations) and analyzing their distribution (frequency of occurrence and percentages) and the issues they covered. The study found out that (a) HEIs are yet to establish sustainable practices in their GFPs in relation to entry and exit standards; and (b) the systems in the GFP are still underdeveloped and practices are largely unsystematic. The paper ended by highlighting four improvement suggestions in order to ensure GFP effectiveness.

scholarly journals General Foundation Programs (GFPs) Student Entry and Exit Standards

2021 ◽  
Vol 4 (4) ◽  
Author(s):  
Ibtisam Saed Al-Rusheidi ◽  
Keyword(s):  
Quality Assurance ◽  
Data Analysis ◽  
Frequency Of Occurrence ◽  
Analysis Method ◽  
Entry And Exit ◽  
Descriptive Data ◽  
Sustainable Practices ◽  
Quality Audit ◽  
Audit Reports ◽  
Distribution Frequency

This paper assessed the performance of General Foundation Programs (GFPs) in Oman in the area of 'Student Entry and Exit Standards'. Data was collected from the GFP quality audit reports prepared and published by Oman Authority for Academic Accreditation and Quality Assurance of Education (OAAAQA). The study adopted a simple descriptive data analysis method, consisting of identifying the formal conclusions issued by OAAAQA (Commendations, Affirmations, and Recommendations) and analyzing their distribution (frequency of occurrence and percentages) and the issues they covered. The study found out that (a) HEIs are yet to establish sustainable practices in their GFPs in relation to entry and exit standards; and (b) the systems in the GFP are still underdeveloped and practices are largely unsystematic. The paper ended by highlighting four improvement suggestions in order to ensure GFP effectiveness.

scholarly journals Evaluasi Penerapan Audit Mutu Internal Pada STAIN Curup

2017 ◽  
Vol 1 (1) ◽  
pp. 61
Author(s):  
Hamengkubuwono Hamengkubuwono
Keyword(s):  
Data Analysis ◽  
Evaluation Model ◽  
Internal Quality ◽  
Evaluation Standard ◽  
Quality Audit ◽  
Self Reflection ◽  
Data Coding ◽  
Data Editing ◽  
Audit Form

This study at evaluating the implementation of internal quality audit at STAIN Curup. The data for this study are collected through interview and documentation. Stake or countenance evaluation model is used in this study. Thus, the data analysis involves some following step as: data editing, data coding, tabulating the data, interpreting the data, and drawing conclusion. The result of this study indicates that (1) The Planning internal quality audit is relevant with, attempting to fulfill costumer’s demand, to is relevan with audi vision, audit schedule, the formulation of audit purpose, and the audit form, (2) the implementation of audit is reasonably inappropriate with the purpose and the scope of the audit, and (3) the follow up audit is relevant with the established evaluation standard. As the final thought, this study recommends STAIN Curup conduct well planned and well program internal quality audit continuously so that it can serve as self-reflection for the insitution. Keywords : Evaluation, Internal Quality Audit.

scholarly journals Research on Audit Data Analysis under the Background of Big Data

2021 ◽  
Vol 5 (3) ◽  
pp. 28-33
Author(s):  
Li Zhang
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Rapid Development ◽  
Social Economy ◽  
Urgent Problem ◽  
Cloud Data ◽  
Audit Data ◽  
Audit Technology ◽  
Operation Status ◽  
Data Audit

With the arrival of the era of big data, the audit thinking mode has been promoted to change. Under the influence of big data, audit will become an activity of continuous behavior. Through cloud data, the staff can control the operation status and risk assessment of the whole enterprise, timely analyze, control and respond to risks, and protect the enterprise to reduce risks. With the advent of the era of big data, audit data analysis is becoming more and more important. At the same time, a large amount of data analysis also brings challenges to auditors. Methods to deal and solve the challenges has become an urgent problem to be solved at present. This paper mainly studies the challenges and countermeasures brought by the changes of audit approaches and methods to audit data analysis under the background of big data, so as to continuously innovate and practice the improvement of audit technology and promote the healthy and rapid development of social economy.

PAKDD-2007

2010 ◽  
pp. 320-328
Author(s):  
Thierry Van de Merckt ◽  
Jean-François Chevalier
Keyword(s):  
Variable Selection ◽  
Data Quality ◽  
Statistical Evaluation ◽  
Predictive Modelling ◽  
Data Transformation ◽  
Quality Audit ◽  
Business Information ◽  
Audit Data ◽  
The Cross ◽  
Tools And Techniques

This chapter presents VADIS Consulting’s solution for the cross-selling problem of the PAKDD_2007 competition. For this competition, the authors have used their in-house developed tool RANK, which automates a lot of important tasks that must be done to provide a good solution for predictive modelling projects. It was for them a way of benchmarking their 3 years of investment effort against other tools and techniques. RANK encodes some important steps of the CRISP-DM methodology: Data Quality Audit, Data Transformation, Modelling, and Evaluation. The authors have used RANK as they would do in a normal project, however with much less access to the business information, and hence the task was quite elementary: they have audited the data quality and found some problems that were further corrected, they have then let RANK build a model by applying its standard recoding, and then applied automatic statistical evaluation for variable selection and pruning. The result was not extremely good in terms of prediction, but the model was extremely stable, which is what the authors were looking for.

The Influence of Ethnic, Gender, and Qualification of Directors on Company Performance

2021 ◽  
Vol 6 (2) ◽  
pp. 15-20
Author(s):  
Rifki Putra Ananda ◽  
Desi Ilona ◽  
Anita Ade Rahma
Keyword(s):  
Data Analysis ◽  
Board Of Directors ◽  
Stock Exchange ◽  
Control Variable ◽  
Company Performance ◽  
Quality Audit ◽  
Performance Quality ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Board Of Directors

This study aims to determine the effect of ethnic, gender and qualification of the board of directors on company performance. Two control variable are quality audit and company age. The sample in this study was taken random at the companies listing on the Indonesia Stock Exchange, which were 266 companies with a study period of 7 years from 2011-2017. Data analysis by used panel data regression. The results of this study indicate that gender has a negative and significant effect on company performance, while ethnic and qualification have no significant effect on company performance. Quality audit and company age have no significant effect on company performance.

scholarly journals PENGARUH KOMPETENSI, INDEPENDENSI, PROFESIONALISME TERHADAP KUALITAS AUDIT

2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Rudi Hartono
Keyword(s):  
Data Analysis ◽  
Multiple Regression ◽  
Audit Quality ◽  
Area Coverage ◽  
Survey Area ◽  
Public Accounting ◽  
Accounting Firm ◽  
Quality Audit ◽  
Study Population

This study aimed to test whatever there is influence of Competence, Independence, Professionalism, Integrity, and Objectivity of the Quality Audit. The study was conducted by distributing questionnaires. The study population was Affiliates Medium Public Accountants and Public Accounting Firm Medium Non Affiliates. Data analysis is done using multiple regression. The result showed that the competence, independence, professionalism, integrity and objectivity  affect audit quality on an ongoing basis. In addition, this study proves that the partial competency, independence and Professionalism while simultaneously all influence the quality of audits. For research in the future, this study suggests the development of survey area coverage and the addition of more variables that affect audit quality

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