Business Analytics

1. Analytical Techniques in Business Analytics
   1. Descriptive Analytics
      1. Data Summarization
         1. Techniques for Aggregating Data
            1. Mean, Median, Mode
            2. Range and Standard Deviation
            3. Frequency Distributions
         2. Data Profiling
            1. Identifying Patterns and Trends
            2. Detecting Anomalies
            3. Aggregation and Partitioning
      2. Visualization Techniques
         1. Graphical Representation
            1. Bar Charts and Pie Charts
            2. Histograms and Box Plots
            3. Heatmaps and Bubble Charts
         2. Interactive Visualization
            1. Dashboards
            2. Geographic Information Systems (GIS)
            3. Drill-Down Functions
      3. Reporting Methods
         1. Static vs. Dynamic Reports
            1. Predefined Formats
            2. Real-Time Data Updates
         2. Automated Reporting
            1. Scheduling and Distribution
            2. Customizable Templates
         3. KPI Dashboards
            1. Metric Tracking
            2. Performance Overviews
   2. Predictive Analytics
      1. Statistical Modeling
         1. Regression Analysis
            1. Linear and Logistic Regression
            2. Regression Trees
         2. Time Series Analysis
            1. ARIMA Models
            2. Seasonal Decomposition
         3. Multivariate Analysis
            1. Factor Analysis
            2. Cluster Analysis
      2. Machine Learning Algorithms
         1. Supervised Learning
            1. Decision Trees
            2. Support Vector Machines
            3. Neural Networks
         2. Unsupervised Learning
            1. K-Means Clustering
            2. Hierarchical Clustering
            3. Principal Component Analysis
         3. Ensemble Techniques
            1. Random Forests
            2. Boosting Algorithms
            3. Bagging Methods
      3. Predictive Modelling Techniques
         1. Model Training and Validation
            1. Cross-Validation
            2. Overfitting and Underfitting
         2. Feature Selection and Engineering
            1. Data Transformation
            2. Dimension Reduction
         3. Model Evaluation
            1. Confusion Matrix
            2. ROC and AUC Curves
            3. Precision and Recall
   3. Prescriptive Analytics
      1. Optimization Models
         1. Linear Programming
            1. Objective Function Formulation
            2. Constraints Management
         2. Integer Programming
            1. Binary Variables
            2. Optimizing Combinatorial Problems
         3. Nonlinear Programming
            1. Handling Non-Linear Relationships
            2. Solving Multi-Objective Problems
      2. Simulation Techniques
         1. Monte Carlo Simulations
            1. Probabilistic Analysis
            2. Risk Assessment
         2. Discrete-Event Simulation
            1. Process Simulations
            2. Queue Management
         3. System Dynamics
            1. Feedback Loop Modeling
            2. Policy Analysis
      3. Decision-Making Models
         1. Decision Analysis
            1. Decision Trees and Payoff Tables
            2. Sensitivity Analysis
         2. Rule-Based Systems
            1. IF-THEN Logic
            2. Knowledge-Based Systems
         3. Heuristic and Algorithmic Approaches
            1. Genetic Algorithms
            2. Heuristic Optimization Methods