-
Core Analytical Thinking Patterns
-
Descriptive Analytics Pattern Catalog
-
Descriptive Analytics Hierarchy
-
Descriptive Analytics
-
Aggregation Patterns
- Basic Aggregation
- Grouped Aggregation
- Multi-Dimensional Aggregation
- Distinct Count
- Conditional Aggregation
- Filtered Aggregation
- Ratio Metrics
- Weighted Average
- Running Totals
- Rolling Aggregates
- Percent of Total
- Top-N / Bottom-N
- Pareto (80/20)
- Histograms / Bucketing
- Pivot / Crosstab
- Unpivot
- Nested Aggregation
- Aggregation After Join
-
Time-Series Patterns
- Daily / Weekly / Monthly Trends
- Period-over-Period (MoM, YoY, WoW)
- Running Totals
- Moving Average
- Rolling Windows
- Lag / Lead Comparison
- Time Bucketing
- Gap Filling
- Seasonal Analysis
- Trend Detection
- Growth Rate
- Snapshot Over Time
-
Segmentation Patterns
- RFM Segmentation
- Revenue Segmentation
- Behavioral Segmentation
- Geographic Segmentation
- Lifecycle Segmentation
- Percentile Segmentation
- Pareto Segmentation
- Dynamic Threshold Segmentation
- Cohort-Based Segmentation
- Hybrid Segmentation
-
Funnel Patterns
- Signup Funnel
- Checkout Funnel
- Purchase Funnel
- Conversion Funnel
- Ordered Funnel
- Time-Constrained Funnel
- Cohort Funnel
- Segment Funnel
- Drop-Off Analysis
- Path Analysis
- Multi-Step Funnel
-
Cohort & Retention Patterns
- Signup Cohorts
- Retention Matrix
- Repeat Purchase Analysis
- Active User Retention
- Cohort Aging
- Revenue Retention
- Customer Lifetime Tracking
- Churn Observation
- Time-to-Repeat Analysis
-
Window Function Patterns
- Ranking
- Dense Ranking
- Row Numbering
- Running Totals
- Moving Average
- Lag / Lead
- First / Last Value
- Percentiles
- NTILE Bucketing
- Sessionization
- Sequential Analysis
-
Distribution Patterns
- Histograms
- Frequency Distribution
- Quartiles
- Percentiles
- Deciles
- Standard Distribution Summary
- Outlier Observation
- Bucket Analysis
-
KPI & Ratio Patterns
- Conversion Rate
- Revenue per User
- Average Order Value
- Retention Rate
- Churn Rate
- Engagement Rate
- Profit Margin
- Customer Acquisition Cost
- Lifetime Value
-
Behavioral Analytics Patterns
- Event Frequency
- Session Analysis
- Feature Usage
- User Journey
- Navigation Paths
- Clickstream Analysis
- Engagement Tracking
- Activity Heatmaps
-
Geographic Patterns
- Revenue by Country
- Revenue by City
- Regional Segmentation
- Geographic Heatmaps
- Territory Performance
- Location Distribution
-
Dimensional Analysis Patterns
- Slice-and-Dice
- Drill-Down
- Roll-Up
- Cross-Tabulation
- OLAP Cube Analysis
- Multi-Dimensional Pivoting
-
Snapshot Patterns
- Daily Snapshot
- Monthly Snapshot
- Inventory Snapshot
- Balance Snapshot
- Active Subscription Snapshot
- Point-in-Time Reporting
-
Relationship Patterns
- Product Affinity
- Customer-Product Matrix
- Many-to-Many Relationships
- Shared Behavior Analysis
- Co-Occurrence Analysis
-
Data Quality Patterns
- Null Analysis
- Duplicate Detection
- Missing Data Analysis
- Freshness Monitoring
- Referential Integrity Checks
- Schema Drift Detection
- Data Completeness
- Consistency Validation
-
Aggregation Patterns
-
Descriptive Analytics
-
Descriptive Analytics Hierarchy
-
Descriptive Analytics Pattern Catalog
-
Diagnostic (Why did it happen?)
-
Diagnostic Analytics (Why Did It Happen?)
-
Root Cause Analysis Patterns
-
Variance Analysis
- Actual vs Forecast
- Actual vs Budget
- Period-over-Period Variance
- Segment Contribution Variance
- Revenue / Cost Decomposition
-
Driver Analysis
- Revenue Driver Identification
- Cost Driver Analysis
- Conversion Driver Analysis
- Engagement Driver Analysis
- Churn Driver Analysis
-
Contribution Analysis
- Top Contributors
- Bottom Contributors
- Pareto Contribution
- Product Contribution
- Regional Contribution
-
Funnel Failure Analysis
- Step Drop-Off Detection
- Conversion Bottleneck Detection
- Time-to-Conversion Analysis
- Abandonment Analysis
- Path Failure Analysis
-
Cohort Degradation Analysis
- Retention Decline Detection
- Revenue Decay
- Engagement Decay
- Lifecycle Regression
- Cohort Comparison
-
Churn Root Cause Analysis
- Last Activity Analysis
- Behavioral Change Detection
- Subscription Cancellation Analysis
- Usage Reduction Analysis
- Retention Risk Segmentation
-
Event Sequence Analysis
- Preceding Event Detection
- Failure Path Analysis
- Sequential Pattern Detection
- User Journey Breakdown
- Session Flow Analysis
-
Outlier Investigation
- Revenue Spike Detection
- Traffic Spike Analysis
- Anomaly Contribution Analysis
- Sudden Churn Detection
- Fraud / Abuse Observation
-
Comparative Root Cause Analysis
- Before vs After Comparison
- A/B Group Comparison
- Region-to-Region Comparison
- Product-to-Product Comparison
- Customer Segment Comparison
-
Variance Analysis
-
Correlation & Relationship Patterns
-
Metric Correlation Analysis
- Revenue vs Traffic
- Engagement vs Retention
- Discount vs Conversion
- Marketing Spend vs Revenue
- Price vs Demand
-
Statistical Correlation
- Pearson Correlation
- Spearman Rank Correlation
- Covariance Analysis
- Correlation Matrix
- Feature Correlation Ranking
-
Behavioral Correlation
- Feature Usage Correlation
- Event Co-Occurrence
- Session Pattern Correlation
- Navigation Correlation
- Engagement Correlation
-
Product Affinity Analysis
- Frequently Bought Together
- Basket Analysis
- Cross-Sell Opportunities
- Product Pair Correlation
- Category Affinity
-
Customer Relationship Analysis
- Segment Similarity
- Shared Behavioral Traits
- Purchasing Pattern Correlation
- Demographic Correlation
-
Temporal Correlation
- Lagged Correlation
- Seasonal Correlation
- Delayed Impact Analysis
- Rolling Correlation
- Time-Shifted Metrics
-
Causal Exploration Patterns
- Before/After Impact Analysis
- Controlled Group Comparison
- Intervention Impact Analysis
- Change Point Detection
- Event Impact Correlation
-
Metric Correlation Analysis
-
Drill-Down & Exploration Patterns
-
Hierarchical Drill-Down
- Year → Quarter → Month → Day
- Country → Region → City
- Category → Product → SKU
- Company → Department → Team
- Channel → Campaign → Ad
-
Dimensional Drill-Down
- Revenue by Segment
- Revenue by Geography
- Revenue by Product
- Revenue by Time
- Revenue by Customer Type
-
Drill-Across Analysis
- Compare Multiple Metrics
- Cross-Dimensional Analysis
- Multi-Fact Comparison
- Cross-Channel Analysis
- Shared Dimension Analysis
-
Drill-Through Patterns
- KPI → Transaction Records
- Dashboard → Raw Events
- Aggregate → Detailed Rows
- Customer Summary → Orders
- Order → Order Items
-
Slice-and-Dice Exploration
- Filter by Segment
- Filter by Time Window
- Filter by Product
- Filter by Geography
- Multi-Dimensional Filtering
-
Ranking Exploration
- Top-N Analysis
- Bottom-N Analysis
- Fastest Growing Segments
- Worst Performing Products
- Outlier Ranking
-
Comparative Exploration
- Current vs Previous Period
- Segment vs Global Average
- Region vs Region
- Product vs Category
- Customer vs Cohort
-
Interactive Investigation Patterns
- Progressive Filtering
- Dynamic Grouping
- Pivot Exploration
- Ad Hoc Segmentation
- Exploratory SQL Analysis
-
Hierarchical Drill-Down
-
Diagnostic KPI Patterns
- KPI Variance Breakdown
- KPI Driver Trees
- Conversion Failure Metrics
- Retention Degradation Metrics
- Revenue Attribution Analysis
- Marketing Attribution
- Operational Bottleneck Metrics
- Customer Health Scores
- Engagement Decline Indicators
- Anomaly Detection Metrics
-
Root Cause Analysis Patterns
-
Diagnostic Analytics (Why Did It Happen?)
-
Predictive (What will happen?)
-
Predictive Analytics (What Will Happen?)
-
Forecasting Patterns
-
Time-Series Forecasting
- Daily Revenue Forecasting
- Monthly Sales Forecasting
- Traffic Forecasting
- Demand Forecasting
- Subscription Growth Forecasting
- Inventory Forecasting
- Capacity Forecasting
- Usage Forecasting
- Financial Forecasting
- Seasonal Forecasting
-
Trend Forecasting
- Linear Trend Projection
- Exponential Growth Forecasting
- Compound Growth Forecasting
- Moving Average Forecasting
- Weighted Moving Average
- Rolling Trend Forecasting
- Trend Smoothing
-
Seasonal & Cyclical Forecasting
- Day-of-Week Seasonality
- Monthly Seasonality
- Holiday Impact Forecasting
- Promotional Cycle Forecasting
- Quarterly Business Cycles
- Weather-Based Forecasting
-
Cohort Forecasting
- Retention Forecasting
- Customer Lifetime Projection
- Revenue Retention Forecasting
- Cohort Growth Projection
- Churn Forecasting
-
Funnel Forecasting
- Conversion Forecasting
- Pipeline Forecasting
- Signup-to-Purchase Projection
- Lead Forecasting
- Revenue Funnel Projection
-
Operational Forecasting
- Server Load Forecasting
- Staffing Forecasting
- Ticket Volume Forecasting
- Delivery Forecasting
- Queue Forecasting
-
Scenario Forecasting
- Best-Case Forecasting
- Worst-Case Forecasting
- Monte Carlo Simulation
- Sensitivity Forecasting
- What-If Forecasting
-
Forecast Evaluation Patterns
- Forecast Error Analysis
- MAE / MAPE / RMSE
- Bias Detection
- Forecast Accuracy Tracking
- Prediction Confidence Intervals
-
Time-Series Forecasting
-
Propensity & Probability Patterns
-
Purchase Propensity
- Likelihood to Purchase
- Repeat Purchase Probability
- Upsell Propensity
- Cross-Sell Propensity
- Promotion Response Probability
-
Churn Propensity
- Subscription Churn Prediction
- User Inactivity Risk
- Retention Risk Scoring
- Renewal Probability
- Customer Health Prediction
-
Engagement Propensity
- Feature Adoption Probability
- Session Return Probability
- Email Open Probability
- Notification Click Probability
- Platform Engagement Prediction
-
Conversion Propensity
- Signup Conversion Probability
- Checkout Completion Probability
- Trial-to-Paid Probability
- Lead Conversion Probability
- Ad Click Probability
-
Fraud & Risk Propensity
- Fraud Risk Scoring
- Payment Failure Probability
- Abuse Detection Probability
- Credit Risk Scoring
- Operational Failure Prediction
-
Behavioral Propensity
- Next Action Prediction
- Product Interest Prediction
- Navigation Path Prediction
- Session Intent Classification
- Feature Usage Prediction
-
Customer Value Prediction
- Lifetime Value Prediction
- Future Revenue Estimation
- High-Value Customer Prediction
- Segment Migration Prediction
- Revenue Growth Potential
-
Propensity Scoring Infrastructure
- Rule-Based Scoring
- Weighted Score Models
- Probability Thresholding
- Ranking & Prioritization
- Risk Tier Classification
-
Purchase Propensity
-
Regression Patterns
-
Linear Regression
- Revenue Prediction
- Demand Estimation
- Price Elasticity
- Marketing Impact Estimation
- Growth Trend Modeling
-
Multiple Regression
- Multi-Variable Revenue Modeling
- Customer Value Estimation
- Operational Cost Modeling
- Conversion Driver Modeling
- Retention Driver Modeling
-
Logistic Regression
- Churn Prediction
- Purchase Probability
- Fraud Detection
- Lead Qualification
- Binary Outcome Prediction
-
Polynomial Regression
- Nonlinear Growth Modeling
- Demand Curve Modeling
- Seasonal Impact Modeling
- Saturation Curve Analysis
-
Time-Based Regression
- Trend Regression
- Rolling Regression
- Lagged Variable Regression
- Time-Decay Modeling
- Seasonal Regression
-
Panel & Cohort Regression
- Customer Cohort Modeling
- Retention Regression
- User Lifecycle Modeling
- Revenue Cohort Regression
- Multi-Period Regression
-
Feature Engineering Patterns
- Lag Feature Creation
- Rolling Metric Features
- Behavioral Feature Extraction
- Aggregated Signal Features
- Time-Based Feature Encoding
-
Regression Evaluation Patterns
- R² Analysis
- Residual Analysis
- Error Distribution
- Model Drift Detection
- Overfitting Observation
-
Explainability Patterns
- Coefficient Interpretation
- Feature Importance
- Partial Dependence Analysis
- Prediction Contribution Analysis
- Sensitivity Analysis
-
Linear Regression
-
Classification & Predictive Segmentation
-
Customer Classification
- High-Value Customer Prediction
- Churn Risk Classification
- Loyalty Classification
- Fraudulent Customer Detection
- Engagement Tier Prediction
-
Product Classification
- Best Seller Prediction
- Low Inventory Risk Classification
- Product Demand Tiering
- Product Performance Prediction
-
Marketing Classification
- High-Converting Leads
- Campaign Success Prediction
- Audience Response Prediction
- Ad Performance Classification
-
Operational Classification
- Ticket Priority Prediction
- Failure Severity Classification
- Delivery Delay Risk
- Capacity Risk Classification
-
Customer Classification
-
Recommendation & Next-Best-Action Patterns
-
Product Recommendation
- Collaborative Filtering
- Content-Based Recommendation
- Frequently Bought Together
- Personalized Ranking
- Similar Product Prediction
-
Customer Recommendation
- Next Best Offer
- Retention Intervention
- Personalized Promotion
- Upsell Recommendation
- Cross-Sell Recommendation
-
Behavioral Recommendation
- Next Action Recommendation
- Content Recommendation
- Navigation Recommendation
- Feature Recommendation
- Learning Path Recommendation
-
Product Recommendation
-
Predictive KPI Patterns
- Forecasted Revenue
- Predicted Churn Rate
- Future Retention Rate
- Predicted Lifetime Value
- Forecasted Conversion Rate
- Expected Demand
- Future Engagement Score
- Risk Probability Score
- Prediction Confidence Score
- Opportunity Scoring
-
Forecasting Patterns
-
Predictive Analytics (What Will Happen?)
-
Prescriptive (What should we do?)
- - Descriptive → 60–75%
- - Diagnostic → 20–30%
- - Predictive → 5–15%
- - Prescriptive → 1–5%
-
Prescriptive Analytics (What Should We Do?)
-
Optimization Patterns
-
Revenue Optimization
- Price Optimization
- Discount Optimization
- Dynamic Pricing
- Margin Optimization
- Revenue Mix Optimization
- Promotion Optimization
- Upsell Optimization
- Cross-Sell Optimization
-
Marketing Optimization
- Campaign Budget Allocation
- Channel Spend Optimization
- Audience Targeting Optimization
- Bid Optimization
- Conversion Funnel Optimization
- CAC Optimization
- Retargeting Optimization
- Attribution Optimization
-
Customer Optimization
- Retention Optimization
- Churn Prevention Strategy
- Customer Lifetime Value Maximization
- Loyalty Program Optimization
- Customer Health Optimization
- Engagement Optimization
- Onboarding Optimization
- Customer Journey Optimization
-
Product Optimization
- Feature Prioritization
- Product Mix Optimization
- Inventory Optimization
- Catalog Optimization
- Recommendation Placement Optimization
- Search Result Optimization
- Merchandising Optimization
- Product Bundling Optimization
-
Operational Optimization
- Staffing Optimization
- Resource Allocation
- Scheduling Optimization
- Delivery Route Optimization
- Warehouse Optimization
- Queue Optimization
- Capacity Planning
- SLA Optimization
-
Supply Chain Optimization
- Inventory Replenishment
- Supplier Optimization
- Demand Allocation
- Fulfillment Optimization
- Logistics Optimization
- Procurement Optimization
- Safety Stock Optimization
- Distribution Network Optimization
-
Financial Optimization
- Cash Flow Optimization
- Cost Reduction Optimization
- Profit Maximization
- Portfolio Optimization
- Investment Allocation
- Risk-Adjusted Optimization
- Budget Optimization
- Forecast Adjustment Optimization
-
Constraint-Based Optimization
- Resource-Constrained Optimization
- Time-Constrained Optimization
- Budget-Constrained Optimization
- Capacity-Constrained Planning
- Inventory-Constrained Allocation
- Multi-Objective Optimization
-
Simulation & Scenario Optimization
- What-If Optimization
- Monte Carlo Optimization
- Sensitivity Analysis
- Best/Worst Case Planning
- Stress Testing
- Risk Scenario Planning
- Strategy Simulation
-
Optimization Evaluation Patterns
- ROI Analysis
- Incremental Lift Measurement
- Cost-Benefit Analysis
- Optimization Impact Tracking
- Resource Efficiency Metrics
- Trade-Off Analysis
- Goal Achievement Tracking
- Continuous Optimization Monitoring
-
Revenue Optimization
-
Recommendation Patterns
-
Product Recommendation
- Frequently Bought Together
- Similar Product Recommendation
- Personalized Product Ranking
- Complementary Product Recommendation
- Trending Product Recommendation
- Recently Viewed Recommendation
- Seasonal Product Recommendation
- Category-Based Recommendation
-
Customer Action Recommendation
- Next Best Action
- Retention Offer Recommendation
- Upgrade Recommendation
- Cross-Sell Recommendation
- Upsell Recommendation
- Renewal Recommendation
- Re-Engagement Recommendation
- Incentive Recommendation
-
Content Recommendation
- Personalized Content Ranking
- Article Recommendation
- Video Recommendation
- Course Recommendation
- Learning Path Recommendation
- News Feed Personalization
- Playlist Recommendation
- Knowledge Recommendation
-
Marketing Recommendation
- Audience Recommendation
- Campaign Recommendation
- Best Time to Send
- Offer Recommendation
- Creative Recommendation
- Channel Recommendation
- Promotion Recommendation
- Budget Allocation Recommendation
-
Operational Recommendation
- Staffing Recommendation
- Scheduling Recommendation
- Resource Allocation Recommendation
- Inventory Recommendation
- Procurement Recommendation
- Maintenance Recommendation
- Routing Recommendation
- Capacity Recommendation
-
Risk & Fraud Recommendation
- Fraud Prevention Action
- Risk Mitigation Recommendation
- Compliance Recommendation
- Credit Decision Recommendation
- Security Response Recommendation
- Abuse Prevention Recommendation
- Alert Prioritization
- Escalation Recommendation
-
AI-Assisted Recommendation
- Generative Recommendation
- LLM-Assisted Suggestions
- Context-Aware Recommendation
- Conversational Recommendation
- Adaptive Recommendation
- Real-Time Recommendation
- Reinforcement Learning Recommendation
- Multi-Objective Recommendation
-
Recommendation Delivery Patterns
- Real-Time Recommendation Serving
- Batch Recommendation Pipelines
- Event-Triggered Recommendation
- API-Based Recommendation
- Dashboard Recommendation Widgets
- Embedded Product Recommendations
- Notification Recommendations
- Personalized UI Recommendations
-
Recommendation Evaluation Patterns
- Recommendation Accuracy
- Click-Through Rate Evaluation
- Conversion Lift Measurement
- Precision / Recall Analysis
- Diversity Evaluation
- Novelty Evaluation
- User Satisfaction Tracking
- A/B Testing for Recommendations
-
Product Recommendation
-
Decision Intelligence Patterns
-
Rule-Based Decisioning
- Threshold Rules
- Alert-Based Actions
- Escalation Rules
- Compliance Decision Rules
- Approval Workflow Logic
-
Automated Decision Systems
- Automated Pricing Decisions
- Automated Fraud Blocking
- Automated Lead Routing
- Automated Resource Scaling
- Automated Inventory Reordering
-
Human-in-the-Loop Decisioning
- Analyst Review Workflow
- Recommendation Approval
- Exception Handling
- Escalation Review
- Assisted Decision Making
-
Decision Evaluation
- Outcome Tracking
- Decision Quality Metrics
- Action Effectiveness Analysis
- Decision Drift Detection
- Continuous Learning Loops
-
Rule-Based Decisioning
-
Prescriptive KPI Patterns
- Optimization ROI
- Incremental Revenue Lift
- Recommendation Conversion Rate
- Retention Improvement
- Churn Reduction Impact
- Resource Efficiency Gain
- Cost Savings Realization
- Operational Throughput Gain
- Recommendation Acceptance Rate
- Decision Automation Rate
- Time-to-Decision Reduction
- Strategy Effectiveness Score
- Business Outcome Impact
-
Optimization Patterns
Analytics Patterns for Intelligent Decision Systems
SQL, Forecasting, Recommendation Engines, Optimization, KPI Systems, and AI-Assisted Analytics
This book is 100% completeLast updated on 2026-05-24
Analytics Patterns for Intelligent Decision Systems shows how to move beyond dashboards into analytics systems that explain, predict, recommend, optimize, and improve business outcomes.
Packed with SQL patterns, KPI frameworks, forecasting models, recommendation logic, and decision intelligence templates, this book gives data professionals a practical blueprint for modern analytics.
Build systems that do more than report the past — build systems that help decide what should happen next.
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About
About the Book
About This Book
Analytics Patterns for Intelligent Decision Systems is a practical guide to building modern analytics systems that go beyond dashboards and reports.
Traditional analytics tells you what happened. Modern analytics must go further. It must help explain why something happened, predict what may happen next, recommend what should be done, and measure whether those actions improved business outcomes.
This book organizes modern analytics into reusable patterns that can be applied across real-world business systems using SQL, data modeling, KPIs, forecasting, recommendations, optimization, and decision intelligence.
Inside, you will learn how to design and implement patterns for:
- descriptive analytics and KPI reporting
- diagnostic analysis and root cause investigation
- forecasting and predictive analytics
- propensity scoring and classification
- recommendation systems
- optimization models
- automated and human-in-the-loop decisioning
- prescriptive KPI measurement
- continuous feedback and improvement loops
The book is designed for data analysts, analytics engineers, data engineers, BI developers, product analysts, data scientists, and technical business leaders who want to build analytics systems that are practical, reusable, and production-oriented.
Rather than focusing only on theory, the book emphasizes patterns, SQL examples, reusable templates, and system design thinking. The goal is to help you move from isolated queries and dashboards toward complete analytics systems that can support intelligent business decisions.
The central idea of this book is simple:
Reports explain the past.
Predictions estimate the future.
Recommendations guide action.
Decision systems execute strategy.
Optimization systems improve outcomes.
AI systems close the loop.
This book provides a blueprint for that journey.
Author
About the Author
Kevin Languedoc
Kevin Languedoc is a senior data engineer and software developer with deep experience in analytics systems, cloud platforms, and enterprise data architecture. He has designed and delivered end-to-end data solutions across multiple industries and teaches practical, design-focused approaches to modern data engineering.
Contents
Table of Contents
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