3. Descriptive Analytics
• It gives a clear picture of what has happened
in the past and what the current scenario is.
• Take a critical look at your current state of
business.
• Helps to know turnover rate ,time to fill, cost
of hire etc.
• Data aggregation, data mining, Scorecards
and other techniques are employed
4. Diagnostic Analytics
• It gives more critical look into the past and
present of business and
• Helps to understand the why the issues have
occurred and all the reasons behind it.
• Tells why such a thing has happened and
– Based on the finding organization can strategize
to improve your business
6. Predictive Analytics
• Use current and historical data to make
future predictions
• Give a look at what is going to happen
• Need data scientists and machine learning
experts to correctly execute the predictive
analysis
• Gives you detailed report
7. Prescriptive Analytics
• Helps to make models that will help to make
accurate predictions and
• Make real time changes that will gives the
best possible results
• Also provides recommended actions based
on the expected results from the HR
• Recommendation engines
8. Uses/Applications of HR Analytics
• Figure out the reason behind a high turnover in a
certain team?
• Why is the top talent quitting at a higher rate than
others?
• How to improve productivity of a team?
• Skill gaps in the organizations and how to fill those
• Predict the right people to hire for a specific role
• Predict and manage attrition rate
• Does the performance rating system actually reflect
employee performance?
9. Uses/Applications of HR Analytics
• Improve Hiring
• Reduce Attrition
• Improve Experience
• Productive Workforce
• Improve Process
• Gain Trust
