Products

Data Analytics

simplifies the process of ledger scrutiny and transactional analysis during statutory audits. It automates rule-based checks, highlights exceptions, and helps auditors identify irregularities efficiently — reducing manual effort and ensuring more reliable audit outcomes.
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Revolutionizing Your Analytical Process

AudTech’s Data Analytics Module simplifies the process of analyzing financial data and performing ledger scrutiny during statutory audits. Auditors often spend days reviewing transactions to detect irregularities or possible errors — a process that is highly manual, people-dependent, and prone to oversight.

To overcome these challenges, the module provides a cloud-based solution that automates key checks and analysis steps. Once data is imported, it runs predefined rule-based tests across multiple parameters and generates exception reports instantly. This helps auditors identify anomalies, strengthen compliance, and improve audit efficiency and accuracy — all without the need for complex setups or specialized expertise.

Automated
Ledger Scrutiny

Simplify data review with automated processing of imported ledgers. The system runs multiple rule-based checks to identify irregularities, saving hours of manual effort while ensuring complete coverage.

Comprehensive Exception Reporting

Instantly generate exception reports highlighting anomalies, duplications, or inconsistencies in financial data. This enables auditors to focus on critical areas and strengthen overall audit quality.

Easy Setup
and Execution

No technical expertise is required. Simply import your accounting data, and the system automatically applies predefined rules and generates clear, actionable reports for review.

Consistent
and Reliable Analysis

Reduce dependence on manual judgment and maintain accuracy across every engagement. The tool ensures all entries are processed systematically, minimizing oversight even in large data volumes.

Beyond Manual Scrutiny

Traditional data analysis and ledger scrutiny are time-intensive, inconsistent, and often dependent on individual expertise. Especially when reviewing large transaction volumes. AudTech’s Data Analytics Module was built to eliminate these challenges by automating the key stages of data analysis. Once the data is imported, the system applies predefined rule-based checks, highlights irregular entries, and generates detailed exception reports. This approach enables auditors to detect potential errors quickly, reduce manual effort, and enhance accuracy across all audit engagements.

Cutting-edge tools
that drive performance

AudTech’s Data Analytics Module helps auditors analyze large volumes of financial data efficiently and accurately. By applying multiple rule-based checks, it highlights exceptions, identifies irregularities, and produces clear exception reports. Enabling faster, more consistent, and ready for compliance audits.

Effortless
Data Import

Simply upload your accounting data and let the system process it automatically. The module performs predefined analytical checks without requiring complex setup or technical expertise.

Quick
Report Generation

Convert raw transactional data into clear analytical summaries within minutes. Exception reports are automatically created to highlight key findings and simplify auditor review.

Detect Irregularities Efficiently

Identify potential errors, unusual entries, or data inconsistencies quickly. The system applies rule-based analysis to help auditors focus on areas that require closer examination.

Comprehensive Data Coverage

Ensure every transaction is analyzed thoroughly, even in large data sets. The tool minimizes the risk of missed entries and maintains accuracy across every audit engagement.