Automated Workflow for Mock Data Generation and Processing

This workflow is ideal for:

• Developers looking to automate data processing tasks without extensive setup.
• Data Analysts who need to quickly generate mock data for testing and validation purposes.
• Project Managers requiring a simple solution to demonstrate data flow in presentations or reports.
• Business Analysts wanting to visualize data transformation processes in a concise manner.

This workflow addresses the challenge of generating and transforming mock data efficiently. It allows users to:

• Quickly produce a list of mock data items for testing.
• Transform the generated data into a structured format, making it easier to work with in further processes.
• Save time by automating repetitive tasks related to mock data generation and transformation.

1. Mock Data Generation: The workflow starts with a node that generates mock data. It creates an array of strings: item-1, item-2, item-3, and item-4.
2. Data Transformation: The second node takes the generated mock data and maps each item to a new JSON structure. Each item is encapsulated in a JSON object with a key data, resulting in a structured output that is easy to use in subsequent processes.
3. Execution: The workflow is manually triggered, allowing users to control when the data generation and transformation occur.