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AI for Recruitment and Management Processes | Complete Use Case

AI for Recruitment and Management Processes | Complete Use Case

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Overview of HR and Recruitment Management

Measuring employee performance is an essential aspect of HR and Recruitment Management tasks. Companies have many employees' data, so it's difficult for the management team to manage and calculate employee performance. The hiring process also plays a vital role in identifying the right person for the right job. Sometimes even providing best facilities to employees they are not satisfied with us. Through employees, the experience can identify areas that need to improve\maintain\develop and take action accordingly.

Solution for Human Resource Management Processes

  • With xenonstack support, one can design accurate and fast predictive models for real-time data to better understand employees' performance.
  • We can calculate the performance of employees according to departments and degree.
  • For doing this, collect data from the company's employees. After that predictive model will predict the number of employees that will be hiring this year.

Why XenonStack?

By clicking on the demo button, the demo's request will provide you with a demo of an AI predictive model that will give insights into hr recruitment dashboard for checking employee performance, employees from different age groups, and their position. This also summarised information about department-wise performance along with experience.

Dashboard for HR and Recruitment Analytics

HR Recruitment Dashboard

Description

Listed below are the features of an AI-driven dashboard for the Human Resource and Recruitment department.
  • The dashboard shows in the data ops team that employees with four years of experience perform best, and in data visualization, employees with 0-1 years of experience are performing best.
  • Most of the hiring took place through Facebook ads, and around 11k employees have master's degree holders.
  • Line charts show most hiring took place in December due to campus placement and ads on different platforms.

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