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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.

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Kick off your book project, get started with GhostAI, get better at marketing, or spend the day doing all three! Free live workshops on Zoom. Saturday, June 27, 2026.

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