Web-Based Data Analytics Tool for Effective Audit Processes
This web-based data analytics tool aims to improve the effectiveness of audit processes conducted by SAIs by visualizing auditor's data, simplifying identification of priority areas and suspicious transactions, and reducing administrative burden. It provides auditors with Red-Flag alerts through exploratory data analysis. The tool utilizes datasets such as money transfers from suspicious individuals, government expenditure data, and simulated money laundering cases. It also helps in identifying patterns in government procurements and extracting text from image files efficiently. Additionally, it integrates social media data to collect public opinion on government programs for a more holistic audit recommendation.
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Presentation Transcript
About A Web-based Data Analytics Tool for: Visualizing auditor s data Improving the effectiveness of audit processes carried out by SAIs while saving costs Simplifying auditors' work in identifying priority areas or suspicious transactions Reducing the administrative burden Providing auditors with Red-Flag through Exploratory Data Analysis
Datasets Money transfer from 5 suspicious people [Modified] Government Expenditure FY 2019 Well-formatted data from auditor during field audit. Twitter data
Identifying Suspicious Money Transfer Activities due to either kick-back or money laundering Simulated Data of Money Laundering Case through Follow-the-Money Concept. The poeple are fictitious
Identifying the pattern of government procurements G2B realationship. Using Association Rule to find out the indication of Bid-Rigging in government procurement.
Extracting text in an image file. Help auditors to resume many of scanned documents efficiently.
Using Social Media to collect public opinion on government programs. In conducting Performance Audit, financial information or traditional structured data to some extent is not sufficient to derive a recommendation. Unstructured data or non-financial information is needed to conclude a fair audit recommendation
