Ultimate Business Intelligence with Google Cloud

Turn Cloud Data into Decisions That Move the Business.

Key Features
● Get a free one-month digital subscription to www.avaskillshelf.com.
● Strategic BI frameworks covering Analyst, Architect, and Executive personas for cloud-native data ecosystems.
● Hands-on Google Cloud BI coverage spanning BigQuery, Data Studio, Cloud Composer, and Vertex AI Agent Platform.
● End-to-end NordLeaf case study with executable code repository covering pipeline design, dashboards, and troubleshooting playbooks.

Book Description
Data Does Not Create Business Value. Decisions Do.

Modern business intelligence is a strategic discipline that spans cloud architecture, AI integration, and the human dynamics between analysts, architects, and executives. Ultimate Business Intelligence with Google Cloud provides a structured, practical way to build cloud-native BI ecosystems on Google Cloud Platform, bridging the gap between data strategy and technical execution across every layer of the modern BI stack.

The book covers the complete Google Cloud BI stack, including BigQuery, Data Studio, Cloud Dataflow, Cloud Data Fusion, Cloud Composer, and Vertex AI, while addressing the critical human dynamics between three core BI personas. Through the consistent NordLeaf Oy case study, you design pipelines, build decision-ready dashboards, mitigate operational failures, and align data initiatives with strategic business goals using real-world-inspired playbooks and executable code.

The final section delivers a BI Strategy Playbook, a Troubleshooting Playbook, and a complete end-to-end code repository. By the end of the book, you will have the strategic frameworks, technical skills, and practical tools to build and lead BI projects with confidence!

What you will learn
● Design cloud-native BI ecosystems on Google Cloud aligned with strategic business goals.
● Master BigQuery with advanced SQL scripting, stored procedures, and Data Canvas.
● Build resilient data pipelines using Cloud Dataflow, Data Fusion, and Cloud Composer.
● Create decision-ready dashboards in Data Studio using insight-driven design principles.
● Integrate Gemini and Vertex AI agents into BI workflows for AI-enhanced decision intelligence.
● Apply BI Strategy and Troubleshooting Playbooks to deliver and maintain high-impact BI projects.

1. Introduction to Business Intelligence with Google Cloud
2. Evolution of Traditional Business Intelligence
3. The Essential BI Stack on Google Cloud
4. The Analyst
5. The Architect
6. The Executive
7. Pillars of Success: Planning Data Insights
8. Utilizing Google Cloud Platform (GCP) and Data Pipelines
9. BigQuery and Data Studio: Simplifying Data Explorations
10. AI in BI
11. BI Strategy Playbook
12. Troubleshooting
13. End-to-End Business Intelligence Project
Index

Gayathry Dasika is a Helsinki-based data professional specializing in data analytics, decision intelligence, and data architecture. With over 10 years of experience across bioinformatics, ML, healthcare, and solution architecture, Gayathry bridges business and technology through practical, AI-driven solutions. She is passionate about simplifying complexity, coaching teams, and building with clarity.

About the Technical Reviewer
Nithya Rajamurugan is an ERP Product Leader and Enterprise Solution Architect with experience driving enterprise technology strategy, platform modernization, and business process transformation in complex, large-scale environments. She specializes in aligning ERP product vision, enterprise architecture, data capabilities, and operational workflows to deliver scalable solutions that improve efficiency, enable better decision-making, and support long-term business growth.

Nithya is currently working as an ERP Solution Architect for Live Nation, where she contributes to enterprise product strategy and technology transformation across core business systems. Her areas of interest include ERP modernization, enterprise solution design, business intelligence, cloud platforms, data integration, analytics, and the practical application of scalable technologies to solve complex business challenges. She is passionate about building connected platforms that bridge business strategy and technical execution, helping organizations turn enterprise data into actionable insights and measurable business value.