Point a GenAI tool at messy spend data and it hands you a confident, executive-ready answer that is quietly, expensively wrong. This is the complete, publisher-grade playbook for fixing that, so the insights you and your AI produce are ones you can actually trust. 167 pages, 16 chapters, real worked examples, hands-on practice labs, and a full multi-file practice dataset.
What you get
The 167-page book (PDF) + the GenAI Prompt Library + the Helios multi-file practice pack + the Spend Data Cleaning Tracker + the Data Quality Checklist. Instant download.
What you will be able to do
Inside the book
- Part I – Foundations: why dirty data kills AI projects, the six quality dimensions, and choosing & safely steering Claude, ChatGPT and Gemini.
- Part II – Cleaning, step by step: profile, deduplicate, classify, clean fields, enrich, validate, build the pipeline, and a full end-to-end case study on real multi-system data.
- Part III – Scaling & governing: privacy & compliance, automation, KPIs & scorecards, governance & stewardship.
- Part IV – Playbooks & reference: category-by-category plays, four appendices, glossary, bibliography and index.
- Every chapter: learning objectives, worked examples, a hands-on Practice Lab and review questions.
Who it is for
Procurement and supply chain professionals: analysts, category managers, P2P and master-data teams, and CPOs who want their spend data, and their AI, to be trustworthy. No coding required; you let the AI write the code and learn how to verify it.
Format: Instant digital download (ZIP with PDF, Excel and CSV files). 2026 edition. Works with Claude, ChatGPT and Gemini.
