SQL Dataset Comparison Workflow

This workflow is ideal for:

• Data Analysts: Professionals who need to compare sales data across different years to identify trends and anomalies.
• Business Intelligence Teams: Teams looking to gather insights from historical payment data to inform strategic decisions.
• Database Administrators: Individuals responsible for maintaining and optimizing SQL databases who need to ensure data integrity in comparisons.
• Small to Medium Enterprises (SMEs): Businesses that want to analyze their customer payment behaviors over specific years without extensive coding knowledge.

This workflow addresses the challenge of comparing two SQL datasets from different years. Specifically, it allows users to:

• Efficiently aggregate and compare payment data for 2003-2004 and 2004-2005.
• Identify changes in customer spending habits and order counts across the years.
• Provide a clearer picture of financial performance and customer engagement over time, helping businesses make informed decisions.

1. Manual Trigger: The workflow begins when the user clicks "Execute Workflow".
2. Fetch Data for 2003-2004: It executes a SQL query to retrieve the total payment amounts and order counts for each customer for the years 2003 and 2004.
3. Fetch Data for 2004-2005: Simultaneously, it runs another SQL query to gather the same data for 2004 and 2005.
4. Compare Datasets: The workflow uses the CompareDatasets node to analyze the two datasets based on customerNumber and year, allowing for the identification of trends and discrepancies.
5. Update Order Count: Finally, it modifies the order count value to 1, potentially indicating a baseline for further calculations or comparisons.