Professional Training Experiences

HR Analytics
1.    What is HR Data?
  • What is HR data and HR analytics?
  • Benefits of HR analytics
  • The major HR analytics applications: Performance appraisal, Talent Recruitment, Compensation and Benefits, Retention
  • How to get started with HR data analytics?
  • Case studies
2.   Understanding the HR Data
  • What is human resource information sys Rstudio, Python, Excel, Power BI, SPSS Oracle
  • How to apply HR analytics tools in the workplace?
  • Understanding data warehousing
  • Big data in HR?
  • Case studies
3.   Building the HR Metrics
  • The difference between metrics and data
  • The analytics ascendancy model and its application in HR
  • The business balanced scorecard and Key Performance Indicators
  • Key elements and measure of the HR scorecard
  • What is data cleansing and hot to do it?
  • Impact metrics and dashboard
  • Case studies
4.   Predictive HR Data Analysis (Computer Lab with SPSS)
  • Different types of predictive modeling, turnover, talent, retention, risk
  • Applying different types of HR analysis using correlation analysis and regression analysis
  • Data before hypothesis
  • Understanding how predictive analytics work
  • Using SPSS to demonstrate predictive analysis in HR
  • Case studies
5.   Reporting and Decision Making from a HR Analytics Project?
  • The four rules of reporting HR analytics
  • The importance of data visualization in reporting HR applications
  • Common application tools of visualization: Tableau, Power BI
  • How to utilize data to work out different HR strategies: Performance appraisal, Talent recruitment, Compensation and Benefits
  • Making informed decisions with data from within and from industry
  • Case studies
Throughout the years, Professor Cheung had been an active speaker/lecturer for leading professional training bodies in Hong Kong, e.g. the Hong Kong Productivity Council, the Hong Kong Management Association, and Dunn & Bradstreet. Some of the companies using the CIL professional training services include: Seiko Watch Hong Kong, Rio Lighting, AXA, etc.
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Professor Cheung lecture in the University of Helsinki in January 2010