Function Automate

This workflow is ideal for recruiters, HR professionals, and data analysts who need to automate the process of merging interview data with employee information. It is particularly beneficial for teams that manage large volumes of candidate and employee data, requiring efficient data handling and integration.

This workflow addresses the challenge of consolidating diverse data sources related to interviews and employee profiles. By automating the merging of interviewers' data with employee information, it eliminates manual data entry errors, saves time, and enhances the accuracy of records.

1. Data Generation: The workflow begins with two function nodes that generate mock data for interviewers and employees. The first node (Data 1) creates a list of interviews, including pointers, panels, subjects, notes, interviewers, and timezones. The second node (Data 2) generates employee data, including names, job titles, departments, photos, and unique employee IDs.

2. Data Conversion: The generated data is then processed through two conversion nodes. Convert Data 1 transforms the interview data into a format suitable for merging, while Convert Data 2 does the same for the employee data.

3. Data Merging: The final step involves merging the two datasets using a merge node. The merging is done based on matching keys: the interviewer's ID from the interview data and the employee ID from the employee data. This results in a consolidated dataset that combines relevant information from both sources.