Embed Size (px)
Citation preview
31 July, 2021
INR 35,000
USD 600
12 weeks
Gauge your readiness
to understand and apply
Analytics in HR
Get familiar with our learning
journey, the course
curriculum and key
takeaways at each stage
View our course architect
profiles, understand the
certification process and next
steps to take the leap
Know more about AHLC, our
impact on the HR fraternity
and our approach to
developing HR capability
What does it
take to be a
successful HR
Analytics
expert?
•••
•••
•••
How do we
enable you to be
a successful HR
Analytics expert?
• Key success factors
• Role requirements overview
• Role readiness assessment
• Individual development plan
• Get a holistic overview of the role
• Understand the basics of the HR Analytics landscape
• Build a customized learning journey and development plan
• Improving Business Results through People Model (IBR)
• Business Styles: Product Leadership, Customer Intimacy, Operational
Excellence
• People Requirements: Culture, Work Environment and Competencies
• People Drivers: Talent Supply, Capability Growth, High Performance
• Connect the dots between business and HR
• Learn about business styles and its impact on HR strategy
• Prioritize talent outcomes for optimum business alignment
• Identify measurable people outcomes spanning across areas
• HR Value Chain and Success Measures
• Types of Metrics: Lead & Lag, Process & Outcomes, Efficiency & Effectiveness
• HR Scorecards: Function, CoEs and Initiatives
• Prevalent and Emerging Metrics in HR
• Balance measurement of effort and outcomes in HR
• Gauge the impact of selecting one metrics over another
• Recommend right metrics for Talent Acquisition, L&D,
Performance and Rewards
• Prioritize metrics for HR scorecards based on internal
leaders and external comparability
• Business Impact of People Analytics
• Analytics Maturity: Descriptive, Predictive and Prescriptive
• Role of HR Teams: Data Scientist, Business Partners and Specialists
• Key Skills to Drive Analytics: Critical Thinking and Story Telling
• Create awareness about the potential for HR analytics
• Identify opportunities to deploy analytics for enhanced
HR impact
• Learn to contribute to data-driven HR ecosystem
• Interact effectively with data-specialist in HR
• Central tendency: Mean, Median and Mode
• Outliers: Normal and Non-normal distributions
• Pivot Tables and Correlation
• Regression: Linear and Multi-Variate
• Apply statistical tools basis data and desired output
• Ensure usage of valid data sets for analysis
• Tabulate complex data sets into easy-to-use formats
• Analyze impact of multiple variables on your focus area
• HR Data Sources
• Types of Hypothesis: Null, Directional, Non-Directional, Causal
• Independent and Dependent Variables
• Critical Questions and Analysis Plan
• Apply critical thinking to frame hypothesis
• Test new research in HR for your organization context
• Learn to use metrics from different HR areas to test
hypothesis
• Document a clear analysis plan for ease of execution
• Data Cleaning
• Data Analysis
• Hypothesis Testing
• Interpreting Results
• Check for common errors in data to ready for analysis
• Prepare data for analysis by coding and cleaning
• Test hypothesis as per the analysis plan
• Review data patterns to crystallize sharp insights
• Excel Graphs and Charts
• Visualization Tool
• Infographics and Data-led Communications
• Scorecards and Dashboards
• Prepare data for analysis by coding and cleaning
• Build common visualizations such as bell-curves and
compensation outliers
• Illustrate HR value chain effectively such as TA funnel
• Create effective HR dashboards to communicate results
• Components of a Story
• Storyboarding
• Storytelling Techniques
• Presentation Styles
• Plan structured communication using storyboards
• Weave a story around insights to increase engagement
• Make impactful presentations to propagate insights
• Improve stickiness of messages with stakeholders
Invest in your
learning
.
•
•
•
•
•
•
•
•
