G2M Foundation
Your AI is only as good as what it’s built on.
Four Questions. One Foundation.
A modern data foundation exists to answer four questions: what happened, why it happened, what’s likely to happen next, and what to do about it.
G2M builds the foundation that makes all four possible.
01. What happened?
A unified data foundation every team works from. You can’t answer what happened if every team has a different version of events.
When your data lives in disconnected systems, the question isn’t unanswered. It’s unanswerable. G2M unifies your go-to-market data into a single, reconciled pipeline so Marketing, RevOps, and Finance are all working from the same facts.
02. Why did it happen?
One definition of truth, enforced everywhere. You can’t answer why it happened if the numbers mean different things to different teams.
Diagnosing a revenue miss requires a shared language: one version of every metric, enforced everywhere. G2M installs that language across every system and every team. When the numbers mean the same thing in every room, the real drivers become visible.
03. What's likely to happen next?
One definition of truth, enforced everywhere. You can’t answer why it happened if the numbers mean different things to different teams.
Diagnosing a revenue miss requires a shared language: one version of every metric, enforced everywhere. G2M installs that language across every system and every team. When the numbers mean the same thing in every room, the real drivers become visible.
04. What should we do about it
A living model of your business. Generic AI surfaces trends. It can’t tell you what to do about them because it doesn’t know how your business works.
G2M builds a Knowledge Graph: a persistent model of your revenue mechanics that makes every AI recommendation specific to your business, and defensible in any room.
What we build.
The foundation that answers all four questions is built from six capabilities. Here is what each one does.
Data model
Description
One version of the truth, built for your business
Why it matters
Source layer · Stage layer · Transform layer
Data connectors
Description
Every system you run, connected and reconciled
Why it matters
ERP · CRM · Billing · GL · POS · Product usage · Third-party
Decision intelligence
Description
Pre-built modules that turn your data into decisions
Why it matters
Management reporting · Analytic building blocks
Semantic layer
Description
Translates raw data into consistent business language
Why it matters
Driver graph ontology · Domain-specific metrics · Feature stores
The foundation G2M builds is AI-ready and tool agnostic. It is designed to power the G2M Decision Intelligence Platform, but it works equally well with the analytics tools your organization already uses or chooses in the future. You are investing in infrastructure that compounds in value regardless of what sits on top of it.
The organizations achieving results didn’t get there by guessing. They started by understanding exactly where they stood.
Having data and being able to act on it are two very different things.
Most organizations sit somewhere in the middle: they have systems, some alignment, and reporting infrastructure, but leaders still can’t get clear answers when it matters most.
The Trusted Revenue Maturity Model shows you exactly where you are and what it takes to move forward.
