Full field guide

Your Numbers Don't Match

Build reporting trust. Accelerate decision velocity. Eliminate Data Tax

The strategic field guide for leaders, operators, and data teams who need a clearer way to understand why numbers drift across the Data Value Chain before dashboards, automation, and AI scale the confusion. It keeps the focus on business meaning: which definitions are trusted, where the Semantic Layer Gate belongs, and when a number is safe to use.

Your Numbers Don't Match book cover by Gavin Somers

Purchase details

Digital ebook delivered after checkout

This is a one-time digital purchase. After checkout, Lemon Squeezy sends the download access and receipt by email. The book is a self-serve digital product and does not include bespoke consulting, advisory work, or implementation support.

Price
$29.99 USD
Format
PDF ebook
Delivery
Instant download link by email after checkout
Availability
Available now
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Inside the book

A practical way to restore trust before you scale reporting

Build reporting trust

Clarify the definitions, caveats, ownership, and evidence behind the numbers that matter.

Accelerate decision velocity

Reduce meeting drag by helping teams agree what the numbers mean and when they are safe to use.

Eliminate Data Tax

Expose the hidden cost of checking, reconciling, rebuilding, and explaining reports nobody fully trusts.

Control business meaning

Understand why the Semantic Layer Gate sits at the exit of Transform, before interpretation, action, and AI-assisted decisions.

Core framework

The map inside the book

The book uses the Data Value Chain Engine to connect reporting trust metrics, operational impact, and commercial value in one operating picture: Capture -> Transform [Semantic Layer Gate] -> Interpret -> Act -> Realise.

The Data Value Chain Engine framework from Your Numbers Don't Match

Book or toolkit?

Use the book for alignment. Use the toolkit for delivery

The book helps leadership and data teams understand why reporting trust breaks and what needs to be agreed before more dashboards, automation, or AI are added.

  • The book is strategic: principles, failure modes, decision patterns, and leadership alignment.
  • The toolkit is tactical: registers, contracts, worksheets, source maps, and the 30/60/90 plan.

Questions

Book FAQ

Who is this book for?

It is for founders, operators, finance leaders, analytics leaders, and data teams who need business numbers to be trusted before more dashboards, automation, or AI are added.

What problem does the book solve?

It helps you understand why dashboards, finance packs, spreadsheets, and source systems can disagree, then gives you a shared language for restoring reporting trust.

Is the toolkit included with the book?

No. The book explains the Reporting Trust framework. The Reporting Blueprint Toolkit is a separate implementation package with worksheets, registers, maps, and planning assets.

Is this technical or business-focused?

Both, but it starts from the business decision. The book connects leadership concerns such as decision drag and confidence with practical data topics such as definitions, ownership, caveats, source-to-report logic, and the wider Data Value Chain.

Can this help before an AI reporting project?

Yes. AI can accelerate the Data Value Chain, but the semantic layer decides whether it accelerates clarity or confusion. The book helps you identify which metrics are safe to automate around and which foundations need attention first.

Is the Semantic Layer Gate a separate stage?

No. It is the gate at the exit point of Transform: the place where definitions, ownership, caveats, and business meaning are checked before people or AI interpret the number.

Does the book include consulting or implementation support?

No. The book is a self-serve digital download. Bespoke consulting, advisory work, implementation support, or review of your organisation's data would need to be agreed separately.

Implementation companion

Want the workbook and playbook as well?

The Reporting Blueprint Toolkit is a separate product for applying the ideas from the book using structured templates and a worked example.