Microsoft Power BI: A Practical Guide to Data Modeling, DAX, and Dashboards That Drive Business Decisions, is the hands-on guide for anyone tired of spreadsheets that contradict each other and reports nobody trusts. Whether you're a business analyst drowning in disconnected Excel files, a small business owner who wants real numbers instead of gut feelings, or an aspiring data professional building the skills companies actually pay for, this book takes you from a blank Power BI Desktop screen to a governed, enterprise-ready reporting platform — without the dry, jargon-heavy approach most technical books fall into. Across eight progressively built chapters, you'll follow a single running example — a retail business called Northwind Retail Group — from messy, scattered source data all the way to a polished, secure, AI-enhanced dashboard. Along the way, you'll master the skills that actually separate a usable Power BI report from an unusable one: building a proper star schema instead of a flat spreadsheet dump, shaping data with Power Query so it doesn't break every time the source changes, and writing DAX that goes far beyond SUM — including the CALCULATE function, time intelligence, and the filter-context concepts most tutorials skip past too quickly to be useful. You'll also learn what most beginner resources leave out entirely: how to design a report people actually read, how to publish and share it safely through the Power BI Service, how to lock down sensitive data with row-level security, and how to keep performance fast as your data grows from a few thousand rows to millions. The final chapters look ahead to Copilot, AI-assisted analysis, and Microsoft Fabric, so the skills you build here stay relevant as the platform evolves. Every chapter includes real exercises, mini case studies, common-mistake warnings, and key takeaways — plus a closing Appendix with a DAX quick-reference glossary, a pre-publish checklist, and a 30-day practice plan to keep building after the last page. No filler. No recycled documentation. Just a clear, complete path from raw data to decisions people actually trust.
