SQL for Business Analysts Playbook : Turn Raw Data into Reports, Metrics, and Actionable Insights
Language: English
Published by Amazon Digital Services LLC - Kdp Aug 2026, 2026
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 32.69
Quantity: 2 available
Add to basketItem description from seller
Neuware - SQL for Business Analysts Playbook is a practical, business-first guide to using SQL to turn database records into reliable reports, KPIs, performance analysis, and actionable business insights.Instead of teaching commands in isolation, this book shows you how professional analysis actually works: start with the business question, define what the metric means, understand the data grain, build the query carefully, validate the result, and communicate only what the evidence supports.No previous programming experience is required.Inside, you will learn how to: - Translate stakeholder questions into measures, dimensions, populations, filters, and reporting periods- Understand tables, primary keys, foreign keys, relationships, and data grain before calculating metrics- Retrieve, filter, sort, and transform business data with practical SQL- Build dependable KPIs using aggregation, grouping, ratios, percentages, and distinct counts- Join multiple tables without accidentally duplicating revenue, customers, orders, or other measures- Clean missing, inconsistent, and incorrectly formatted business data- Analyze dates, reporting periods, fiscal calendars, time zones, and incomplete periods- Organize complex analysis with subqueries, CTEs, views, and intermediate results- Use window functions for rankings, running totals, rolling metrics, period comparisons, and Top-N analysis- Investigate sales, revenue, products, regions, and performance changes- Analyze customers, segments, conversion funnels, cohorts, retention, repeat purchasing, and churn- Validate row counts, relationships, totals, assumptions, and reporting outputs before publishing results- Build BI-friendly datasets that dashboards and other analysts can reuse confidently- Understand important SQL portability differences across popular database platformsThroughout the book, a consistent fictional business environment helps you apply new techniques to realistic commercial questions instead of disconnected syntax exercises.The final capstone takes you from raw business tables to an executive-ready analytical report. You will define metrics, validate source data, analyze sales and customers, build funnel and retention analysis, compare results with targets, investigate major variances, reconcile the final numbers, and turn the evidence into useful business conclusions.Whether you are an aspiring business analyst, spreadsheet user moving into databases, student, career switcher, working analyst, or SQL user who wants stronger business context, this playbook gives you a structured path from basic queries to analysis that other people can understand, verify, reuse, and trust.…
Seller Inventory # 9798192434314
- Title
- SQL for Business Analysts Playbook : Turn Raw Data into Reports, Metrics, and Actionable Insights
- Author
- Rion Frost
- Publisher
- Amazon Digital Services LLC - Kdp Aug 2026
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 13
- 9798192434314
- Item weight
- 277 grams
- Dimensions
- 229x152x14 mm
SQL for Business Analysts Playbook is a practical, business-first guide to using SQL to turn database records into reliable reports, KPIs, performance analysis, and actionable business insights.
Instead of teaching commands in isolation, this book shows you how professional analysis actually works: start with the business question, define what the metric means, understand the data grain, build the query carefully, validate the result, and communicate only what the evidence supports.
No previous programming experience is required.
Inside, you will learn how to:
- Translate stakeholder questions into measures, dimensions, populations, filters, and reporting periods
- Understand tables, primary keys, foreign keys, relationships, and data grain before calculating metrics
- Retrieve, filter, sort, and transform business data with practical SQL
- Build dependable KPIs using aggregation, grouping, ratios, percentages, and distinct counts
- Join multiple tables without accidentally duplicating revenue, customers, orders, or other measures
- Clean missing, inconsistent, and incorrectly formatted business data
- Analyze dates, reporting periods, fiscal calendars, time zones, and incomplete periods
- Organize complex analysis with subqueries, CTEs, views, and intermediate results
- Use window functions for rankings, running totals, rolling metrics, period comparisons, and Top-N analysis
- Investigate sales, revenue, products, regions, and performance changes
- Analyze customers, segments, conversion funnels, cohorts, retention, repeat purchasing, and churn
- Validate row counts, relationships, totals, assumptions, and reporting outputs before publishing results
- Build BI-friendly datasets that dashboards and other analysts can reuse confidently
- Understand important SQL portability differences across popular database platforms
Throughout the book, a consistent fictional business environment helps you apply new techniques to realistic commercial questions instead of disconnected syntax exercises.
The final capstone takes you from raw business tables to an executive-ready analytical report. You will define metrics, validate source data, analyze sales and customers, build funnel and retention analysis, compare results with targets, investigate major variances, reconcile the final numbers, and turn the evidence into useful business conclusions.
Whether you are an aspiring business analyst, spreadsheet user moving into databases, student, career switcher, working analyst, or SQL user who wants stronger business context, this playbook gives you a structured path from basic queries to analysis that other people can understand, verify, reuse, and trust.
"Synopsis" may belong to another edition of this title.
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