People Analytics and HR Analytics

  1. The People Analytics Process Model
    1. Framing the Business Question
      1. Identifying Stakeholder Needs
        1. Engaging with Business Leaders
          1. Gathering Requirements
            1. Understanding Business Context
              1. Prioritizing Stakeholder Concerns
              2. Translating Business Problems into Analytical Questions
                1. Problem Decomposition
                  1. Defining Measurable Outcomes
                    1. Scoping the Analysis
                      1. Setting Boundaries and Constraints
                      2. Hypothesis Formulation
                        1. Developing Testable Hypotheses
                          1. Setting Success Criteria
                            1. Identifying Key Variables
                              1. Establishing Null and Alternative Hypotheses
                            2. Data Collection and Integration
                              1. Identifying Relevant Data Sources
                                1. Mapping Data to Business Questions
                                  1. Assessing Data Availability
                                    1. Evaluating Data Quality
                                      1. Determining Data Sufficiency
                                      2. Data Extraction and Aggregation
                                        1. Data Extraction Methods
                                          1. Data Merging Techniques
                                            1. Handling Different Data Formats
                                              1. Time Period Alignment
                                              2. Creating a Unified Dataset
                                                1. Data Integration Tools
                                                  1. Data Validation and Reconciliation
                                                    1. Creating Common Identifiers
                                                      1. Resolving Data Conflicts
                                                    2. Data Analysis and Modeling
                                                      1. Exploratory Data Analysis (EDA)
                                                        1. Data Visualization Techniques
                                                          1. Identifying Patterns and Anomalies
                                                            1. Statistical Summaries
                                                              1. Data Distribution Analysis
                                                              2. Applying Statistical Methods
                                                                1. Descriptive Statistics
                                                                  1. Inferential Statistics
                                                                    1. Hypothesis Testing
                                                                      1. Confidence Intervals
                                                                      2. Building Predictive Models
                                                                        1. Regression Analysis
                                                                          1. Linear Regression
                                                                            1. Logistic Regression
                                                                              1. Multiple Regression
                                                                              2. Classification Models
                                                                                1. Decision Trees
                                                                                  1. Random Forest
                                                                                    1. Support Vector Machines
                                                                                    2. Model Validation and Testing
                                                                                      1. Cross-Validation Techniques
                                                                                        1. Performance Metrics
                                                                                          1. Overfitting Prevention
                                                                                        2. Segmentation and Cohort Analysis
                                                                                          1. Defining Segments and Cohorts
                                                                                            1. Analyzing Group Differences
                                                                                              1. Longitudinal Analysis
                                                                                                1. Survival Analysis
                                                                                                2. Advanced Analytical Techniques
                                                                                                  1. Time Series Analysis
                                                                                                    1. Clustering Analysis
                                                                                                      1. Factor Analysis
                                                                                                        1. Network Analysis
                                                                                                      2. Interpretation and Insight Generation
                                                                                                        1. Moving from Data to Insights
                                                                                                          1. Synthesizing Analytical Findings
                                                                                                            1. Prioritizing Insights by Impact
                                                                                                              1. Contextualizing Results
                                                                                                                1. Identifying Actionable Insights
                                                                                                                2. Understanding Causation vs. Correlation
                                                                                                                  1. Experimental Design in HR
                                                                                                                    1. Quasi-Experimental Approaches
                                                                                                                      1. Natural Experiments
                                                                                                                        1. Causal Inference Methods
                                                                                                                        2. Statistical Significance and Practical Significance
                                                                                                                          1. P-Values and Confidence Intervals
                                                                                                                            1. Effect Size Interpretation
                                                                                                                              1. Business Impact Assessment
                                                                                                                            2. Storytelling and Communication
                                                                                                                              1. Visualizing Data Effectively
                                                                                                                                1. Choosing the Right Chart Types
                                                                                                                                  1. Data Visualization Best Practices
                                                                                                                                    1. Interactive Visualizations
                                                                                                                                      1. Dashboard Design Principles
                                                                                                                                      2. Crafting a Narrative
                                                                                                                                        1. Structuring the Story
                                                                                                                                          1. Highlighting Key Messages
                                                                                                                                            1. Building Logical Flow
                                                                                                                                              1. Creating Compelling Headlines
                                                                                                                                              2. Presenting Findings to Stakeholders
                                                                                                                                                1. Tailoring Presentations to Different Audiences
                                                                                                                                                  1. Handling Questions and Objections
                                                                                                                                                    1. Managing Presentation Anxiety
                                                                                                                                                      1. Follow-Up and Action Planning
                                                                                                                                                      2. Tailoring Communication to the Audience
                                                                                                                                                        1. Executive Summaries
                                                                                                                                                          1. Detailed Technical Reports
                                                                                                                                                            1. Visual Infographics
                                                                                                                                                              1. Interactive Dashboards
                                                                                                                                                            2. Taking Action and Measuring Impact
                                                                                                                                                              1. Translating Insights into Actionable Recommendations
                                                                                                                                                                1. Prioritizing Recommendations
                                                                                                                                                                  1. Developing Action Plans
                                                                                                                                                                    1. Resource Requirement Assessment
                                                                                                                                                                      1. Timeline Development
                                                                                                                                                                      2. Implementing Interventions
                                                                                                                                                                        1. Change Management Considerations
                                                                                                                                                                          1. Monitoring Implementation Progress
                                                                                                                                                                            1. Stakeholder Engagement
                                                                                                                                                                              1. Risk Mitigation
                                                                                                                                                                              2. Measuring the ROI of Analytics Initiatives
                                                                                                                                                                                1. Defining Success Metrics
                                                                                                                                                                                  1. Post-Implementation Evaluation
                                                                                                                                                                                    1. Cost-Benefit Analysis
                                                                                                                                                                                      1. Long-Term Impact Assessment

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                                                                                                                                                                                  2. Foundational Concepts and Data Management

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                                                                                                                                                                                  4. Core Application Areas in the Employee Lifecycle