HR ANALYTICS - Predicting Who may Leave us and Why ? KAGGLE

HR ANALYTICS - Predicting Who may Leave us and Why ?¶

In the past decade , HR Analytics specially so "Predicting Employee Turn-Over , Employee Churn" has been seen as a practice that adds value to the organizations bottomline. Helps organizations save -is thus a Cost management practice.

Within India this trend has caught on - most organizations are working towards maturing this practice internally , or with help from external consultants. Finding "rightly-skilled" internal employees or external consultants can be challenging.

Introducing KAGGLE .

• Any organization can host data - following a simple 3 step process.
• Get predictions and analysis from worlds top Data / Business Analysts and Data Scientists.
• Implement Recommendations - check Metrics for improvement - testing and improvement cycle .

Seen below a sample of HR related Employees data posted by a KAGGLE Contributor 

- https://www.kaggle.com/ludobenistant/hr-analytics

Important pointers about this HR data set / any other such attempt to share HR Data

• Confidentiality of Employees Identity and Organization Identity can be maintained.
• Information shared in public forum can be encoded so that NO confidential information is let out.

Feel free to reach out to me or any KAGGLE team member for further inputs.

Thanks & Best Regards

Rohit

• +919871050873
• @Team Data Science India
• https://www.linkedin.com/in/rohitdhankar
• https://twitter.com/DhankarRohit