How This Workflow Works
This workflow analyzes transaction data to identify records that appear more than once based on user-selected fields. It guides users through data validation, duplicate detection, and visualization, helping to flag suspicious or erroneous entries for further review.
Key Features:
- Detects potential duplicate transactions based on customizable field selection
- Validates data integrity across numeric, character, and date fields
- Visualizes duplicate patterns and summary statistics for easier interpretation
- Generates and shares comprehensive reports for audit or compliance purposes
Step-by-step:
1. Validate Data Quality:
The workflow first checks the integrity of the uploaded dataset. It reviews numeric, character, and date fields for inconsistencies, missing values, or out-of-range entries. This ensures that the analysis is based on reliable data and that any anomalies are flagged early.
2. Identify Duplicate Transactions:
Users select the fields they want to use for duplicate detection. The workflow then scans the dataset for records that have identical values in these fields, isolating potential duplicates. This step is central to uncovering errors or suspicious activity in transaction records.
3. Analyze and Visualize Results:
The workflow summarizes the findings, providing statistics on the number and distribution of duplicate records. It uses visual tools such as tables and charts to help users quickly grasp where duplicates occur and how significant the issue may be.
4. Generate and Share Reports:
Users can create detailed reports of the duplicate analysis, including visualizations and key statistics. The workflow supports exporting these reports in various formats and sharing them via email, making it easier to communicate findings with stakeholders or auditors.