SQL for Business Analysts: Turn Raw Data into Useful Reports and Insights (Paperback) (ISBN-13: 9798185846049)

Do you have access to business data but struggle to turn it into clear reports, reliable metrics, and useful answers?

SQL for Business Analysts is a practical guide to using SQL for reporting, investigation, dashboard preparation, and evidence-based decision-making. Written for aspiring and working analysts, it shows you how to move beyond copied queries and develop a dependable process for answering real business questions.

This book treats SQL as an analytical skill rather than a collection of commands. You will learn how to clarify a request, identify the correct tables, understand what each row represents, select the right fields, define metrics carefully, and check whether your results make business sense.

You will begin with relational data fundamentals and simple retrieval queries before progressing to calculations, joins, summaries, time-based reports, data cleaning, window functions, and dashboard-ready datasets.

Inside this practical guide, you will learn how to:

- Translate business requests into clear data questions
- Understand tables, rows, columns, keys, relationships, and business grain
- Retrieve useful records with SELECT and FROM
- Filter customers, orders, products, dates, amounts, and statuses
- Sort, limit, label, and shape report results
- Create calculated fields for revenue, cost, margin, and quantity
- Build categories, flags, and business rules with CASE
- Combine related tables without creating duplicate rows or inflated totals
- Calculate counts, sums, averages, minimums, and maximums
- Create grouped reports with GROUP BY and HAVING
- Build monthly, quarterly, yearly, and rolling-period reports
- Clean inconsistent text, regions, categories, and labels
- Handle NULL values, blank fields, duplicates, and missing information
- Break complicated work into readable subqueries and common table expressions
- Use window functions for rankings, running totals, percentages, and comparisons
- Prepare clean datasets for dashboards and business intelligence tools
- Define one row per business grain for reliable reporting
- Validate row counts, totals, duplicates, boundaries, and metric definitions
- Troubleshoot broken queries and recognize slow-report warning signs
- Document assumptions and communicate findings clearly

Throughout the book, realistic scenarios connect SQL directly to professional analysis. You will examine sales performance, customer segments, product results, monthly trends, regional revenue, order activity, and incomplete records.

You will also learn why a query that runs successfully may still produce the wrong answer. Practical validation methods will help you catch duplicated rows, incorrect joins, missing records, unsuitable date filters, and misleading totals before they reach a dashboard or management report.

The final chapters show you how to organize a portfolio of business queries, present an insight, document your assumptions, and work more effectively with data teams.

This book is suitable for aspiring business analysts, reporting analysts, operations professionals, finance staff, spreadsheet users, junior data analysts, career changers, and students preparing for analytical roles.

You do not need previous database or programming experience. The lessons begin with the foundations and build toward the reporting techniques analysts use in everyday work.

Stop depending on unexplained exports and fragile spreadsheet processes. Learn how to reach structured data, ask better questions, verify the answers, and produce reports people can trust.