Business Analytics

  1. Diagnostic Analytics
    1. Root Cause Analysis
      1. Problem Identification Techniques
        1. Problem Statement Formulation
          1. Stakeholder Input Gathering
          2. Analytical Frameworks
            1. Cause-and-Effect Diagrams
              1. The 5 Whys Technique
                1. Fault Tree Analysis
                2. Data-Driven Investigation
                  1. Hypothesis Generation
                    1. Evidence Collection
                      1. Validation Methods
                    2. Exploratory Data Analysis
                      1. Drill-Down Analysis
                        1. Hierarchical Data Exploration
                          1. Progressive Disclosure
                          2. Roll-Up Analysis
                            1. Data Aggregation
                              1. Summary Level Insights
                              2. Slice and Dice Analysis
                                1. Multi-dimensional Analysis
                                  1. Pivot Table Techniques
                                2. Statistical Analysis for Diagnosis
                                  1. Correlation Analysis
                                    1. Pearson Correlation Coefficient
                                      1. Spearman Rank Correlation
                                        1. Correlation vs. Causation
                                        2. Comparative Analysis
                                          1. Before-and-After Comparisons
                                            1. Control Group Analysis
                                              1. Benchmarking
                                              2. Variance Analysis
                                                1. Budget vs. Actual Analysis
                                                  1. Performance Gap Analysis
                                                2. Hypothesis Testing
                                                  1. Hypothesis Formulation
                                                    1. Null and Alternative Hypotheses
                                                      1. One-tailed vs. Two-tailed Tests
                                                      2. Statistical Significance
                                                        1. p-values and Alpha Levels
                                                          1. Type I and Type II Errors
                                                            1. Statistical Power
                                                            2. Common Statistical Tests
                                                              1. T-tests
                                                                1. One-sample T-test
                                                                  1. Two-sample T-test
                                                                    1. Paired T-test
                                                                    2. ANOVA
                                                                      1. One-way ANOVA
                                                                        1. Two-way ANOVA
                                                                          1. Post-hoc Analysis
                                                                          2. Chi-squared Tests
                                                                            1. Goodness-of-fit Test
                                                                              1. Test of Independence
                                                                            2. A/B Testing
                                                                              1. Experimental Design
                                                                                1. Sample Size Determination
                                                                                  1. Result Interpretation
                                                                                    1. Statistical Significance vs. Practical Significance