Home ⋅ Coming Soon ⋅ The Analytics System: Designing Data Foundations, Metrics, and AI for Better Business Decisions

The Analytics System: Designing Data Foundations, Metrics, and AI for Better Business Decisions
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By: Gadiel Guadarrama
Publisher: Wyckham House
Published: October 2026
Pages: 495
Categories: Business, Non-Fiction
Language: English
Available as: Ebook
On sale at:
ISBN-13: 9781066655724
ASIN: B0HJ3Z59ZB

Organizations have never had more data, dashboards, models, and artificial intelligence. Yet better decisions do not automatically follow. The Analytics System explains why. The problem is not simply a lack of data, talent, or technology. It is architectural. Analytics creates value only when data foundations, metrics, governance, causal reasoning, and decision pathways are designed as one coherent system. Across five Acts and twenty chapters, Gadiel Guadarrama builds that system from the ground up. He shows why conventional KPIs can distort reality, why analytical fragmentation creates competing versions of the truth, why insights die in meetings, how to distinguish visibility from genuine decision leverage, and why AI amplifies the strengths—and weaknesses—of the architecture beneath it. The book introduces original frameworks including Effort Level, Customer Love Quotient, the Driver Truth Model, the Analytics Nervous System, the Value Life Cycle, and the role of the Decision-System Architect. Readers will learn how to: • design data and metric foundations around decisions rather than reporting requirements • build structural metrics that reveal mechanisms, not just outcomes • connect analytics to causal reasoning, economic contribution, and action • design governance and decision pathways that reduce ambiguity and increase leverage • integrate AI as an augmentation layer without allowing automation to outrun judgment Written for senior analytics, data, BI, AI, and strategy leaders, management consultants, and executives responsible for decision quality, The Analytics System is a tool-agnostic reference for organizations that want analytics to do more than describe the business—they want it to help shape what happens next.

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