Business Intelligence in the age of AI

From data warehouses, semantic models, and governed dashboardsto RAG, AI copilots, and agentic analytics.

This book connects classic BI craft with modern AI-powered workflows.Practical, end-to-end, and built for the people who make data useful.

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    AI did not make BI obsolete.

    It raised the stakes.

    Modern analytics teams are surrounded by powerful new tools: natural language queries, copilots, vector search,and agentic workflows. But every useful AI experience in analytics depends on modeled, governed, explainable data.This book shows how the pieces fit together

    Written for people who want real BI judgment

    Understand the full stack

    From BI fundamentals to data warehouses,star schemas, semantic layers, dashboards,lakehouse architectures, and AI

    Make AI practical

    See where generative AI, RAG, vector search, copilots, and agentic analytics belong in a governed analytics landscape.

    Think like a BI professional

    Learn why design decisions matter, how trade-offs shape analytics systems, and how data becomes trusted action.

    What you
    will learn

    Eight topic areas spanningthe full modern analytics stack,from BI foundations to deployed AI.

    • Data Warehousing & ETL Pipelines
    • Dimensional Modeling & Star Schemas
    • Metadata, Governance & Data Quality
    • Dashboards, KPIs & Data Storytelling
    • Lakehouse, Data Mesh & RAG
    • Generative AI for SQL, DAX & Python
    • Self-Service BI & AI Copilots
    • Predictive Analytics & Agentic AI

    A Complete Roadmap for Modern Analytics

    Part 1: Setting the Stage

    What BI is, how it differs from analytics and AI. And why the BI value chain still matters in the AI era.

    Part 2: Core BI Topics

    Data warehousing, ETL/ELT, dimensional modeling, OLAP, metadata management, dashboards, data quality, and governance.

    Part 3: Modern BI and BI

    Lakehouse, Data Mesh, streaming, vector search, RAG, self-service BI, natural language query, and generative AI for developers.

    Part 4: Outlook

    Tools in action, process mining, agentic AI, autonomous analytics pipelines, and the future skills of BI professionals.

    This book is for you if data is part of your work.

    • Students building a strong foundation in BI and analytics.

    • Analysts who want to understand the systems behind the reports.

    • BI developers and data engineers designing models, pipelines, and semantic layers.

    • Decision makers separating practical AI value from noise.

    • Professionals exploring AI copilots, RAG, and agents in analytics work.

    About the author

    Dr. Florian Detzel

    Business Intelligence expert, educator, and technology enthusiastwith deep experience in data engineering, analytics, process mining,and AI. Founder of BI Academy — bridging traditional BI foundationswith the rapidly evolving world of Artificial Intelligence.

    “AI without governed datais just a fluent interface sitting on top of ambiguity.”

    Be the first to know when the book launches.

    Join the waitlist and follow the journey from classic BI foundations to the next generation of AI-powered analytics.