How This Workflow Works
This workflow processes uploaded transaction data to generate a detailed summary of transaction volumes by day, week, month, and year. It validates and analyzes the data, aggregates key metrics, and presents the results through interactive tables and visualizations, supporting further reporting and sharing.
Key Features:
- Summarize transaction volumes by multiple time periods (day, week, month, year)
- Identify peak and low transaction periods for both count and dollar volume
- Visualize trends and patterns with interactive charts
- Generate and share comprehensive reports in various formats
Step-by-step:
1. Validate and Analyze Transaction Data:
The workflow first checks the uploaded transaction data for completeness and accuracy, ensuring that numeric, character, and date fields meet expected standards. It then calculates basic statistics to provide an initial understanding of the dataset.
2. Aggregate Transaction Volumes by Time Period:
After validation, the workflow extracts relevant date parts and groups transactions by day, week, month, and year. It calculates total transaction counts and dollar volumes for each period, enabling direct comparison across different time frames.
3. Identify Key Patterns and Outliers:
Results are presented through interactive tables and bar charts, making it easy to explore transaction patterns visually. The workflow also supports generating detailed reports and exporting results for sharing or further review.
4. Visualize and Share Insights:
The workflow summarizes findings in interactive dashboards, including tables and pie charts, and generates a static report that can be exported or shared. This helps users quickly understand the scope and nature of potential issues in their transaction data.