Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Data analytics is revolutionizing the landscape for professionals in audit, accounting, and finance worldwide. When conducting any audit, whether your goal is to uncover fraud or to recognize anomalies, trends, or patterns, it is essential to have a solution that ensures the delivery of superior audits consistently. The IDEA® Data Analysis Software stands out as a robust, user-friendly data analysis tool crafted by experts in the auditing field. Featuring a sleek, intuitive design and sophisticated analytical capabilities, IDEA enhances the efficiency of data analytics, offers a seamless user experience, and facilitates deeper insights swiftly and economically, leading to more strategic business decisions. It allows for seamless data importation from various sources while maintaining the integrity of the original data through read-only access. With over 100 audit functions available, users can conduct thorough analyses, visually identify patterns, trends, and anomalies, and rely on a clear audit trail for consistent repeatability in their analyses. Ultimately, this software equips professionals with the tools necessary to elevate their auditing practices significantly.
Description
Benford's law serves as a tool for uncovering patterns indicative of improper disbursements. It involves examining audit trail reports from QuickBooks or other bookkeeping software to pinpoint unusual activities like voids and deletions. Additionally, it entails identifying multiple payments made for identical amounts on the same day. A thorough review of payroll runs is conducted to detect any payments exceeding the established salary or hourly rates. Payments made on non-business days are also scrutinized. Statistical calculations help in identifying outliers that may suggest fraudulent activity, and duplicate payments are tested for validation. Vendor files in accounts payable are analyzed for names that may be suspiciously similar, and investigations are conducted to uncover fictitious vendors. Comparisons of vendor and payroll addresses are evaluated using Z-Scores and relative size factor tests. While data monitoring and surprise audits have shown to significantly reduce fraud losses, only 37% of organizations implement these critical controls. For businesses employing fewer than 100 individuals, the average loss due to fraud is estimated at $200,000, highlighting that smaller enterprises often lack the necessary resources to effectively detect and address fraudulent activities. Consequently, it is essential for small businesses to adopt more robust fraud detection mechanisms to safeguard their financial integrity.
API Access
Has API
API Access
Has API
Integrations
Doc.It by IRIS
Microsoft Excel
Microsoft Power BI
Qlik Sense
QuickBooks Online
Sage 200
Tableau
Xero
Integrations
Doc.It by IRIS
Microsoft Excel
Microsoft Power BI
Qlik Sense
QuickBooks Online
Sage 200
Tableau
Xero
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$1,400 one-time payment
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
CaseWare International
Country
Canada
Website
idea.caseware.com/products/idea
Vendor Details
Company Name
MedCXO
Country
United States
Website
medcxo.com/fraud/
Product Features
Audit
Alerts / Notifications
Audit Planning
Compliance Management
Dashboard
Exceptions Management
Forms Management
Issue Management
Mobile Access
Multi-Year Planning
Risk Assessment
Workflow Management
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Product Features
Fraud Detection
Access Security Management
Check Fraud Monitoring
Custom Fraud Parameters
For Banking
For Crypto
For Insurance Industry
For eCommerce
Internal Fraud Monitoring
Investigator Notes
Pattern Recognition
Transaction Approval