Talent segments

HR Analytics: Predicting Employee Churn in R

Anurag Gupta

People Analytics Practitioner

Identifying the talent segments

HR Analytics: Predicting Employee Churn in R

Identifying the talent segments

HR Analytics: Predicting Employee Churn in R

Filtering the dataset

# Select the employees at Analyst and Specialist level
org2 <- org %>%
  filter(level %in% c("Analyst", "Specialist"))
HR Analytics: Predicting Employee Churn in R

HR data sources across employee life cycle (ELC)

Employee Life Cycle HR Data Source
Talent Acquisition Taleo, ADP
Employee Info SAP HR, Workday, SuccessFactors
Learning & Development SkillSoft, Cornerstone
Rewards & Recognition OC Tanner, Kwench
Onboarding, Engagement and Exit Surveys SurveyMonkey, SurveyGizmo
HR Analytics: Predicting Employee Churn in R

HR data architecture

HR Analytics: Predicting Employee Churn in R

Merge datasets using left_join()

glimpse(df1)

Rows: 2
Columns: 2
$ emp_id <int> 1, 2
$ level  <fct> Analyst, Analyst

glimpse(df2)

Rows: 2
Columns: 2
$ emp_id <int> 1, 2, 3
$ location  <fct> NYC, Atlanta, NYC
HR Analytics: Predicting Employee Churn in R

Let's practice!

HR Analytics: Predicting Employee Churn in R

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