How This Workflow Works
This workflow analyzes transaction data to identify patterns that may indicate split transactions. It validates and processes the data, applies threshold-based logic to flag suspicious activity, and presents the results through visual dashboards and automated reporting.
Key Features:
- Detects potential split transactions by applying configurable thresholds and grouping logic.
- Validates numeric, date, and character fields to ensure data quality before analysis.
- Summarizes findings with vendor-wise breakdowns and threshold exceedance reports.
- Automates report generation and distribution for streamlined review.
Step-by-step:
1. Validate and Prepare Transaction Data:
The workflow first checks the integrity of the uploaded transaction data by validating numeric, date, and character fields. This step ensures that only accurate and complete records are used in the analysis, reducing the risk of false positives or missed cases.
2. Apply Split Transaction Detection Logic:
After validation, the workflow groups transactions by relevant identifiers (such as vendor or approval ID) and applies user-defined thresholds for amount and timing. It flags sets of transactions that, when combined, exceed authorization limits within a specified time window, highlighting potential split transactions.
3. Summarize and Break Down Results:
The workflow aggregates flagged transactions to provide a vendor-wise breakdown and identifies payments above set thresholds. This helps users quickly focus on areas or entities with a higher risk of control circumvention.
4. Visualize and Share Insights:
Results are presented in an interactive dashboard, and the workflow generates detailed reports that can be exported or sent via email. This supports efficient communication of findings to stakeholders and enables further investigation or action.