Three Teams, Three Numbers
Ask marketing, sales, and finance for the same revenue number and you get three answers. This diagnostic maps where the definitions fork, which systems can be trusted, and what needs to change first so leadership can stop debating the number and start using it.
Walk into the next leadership meeting with a metric map instead of a shrug
- A visual map of the systems and definitions touching your revenue number
- A clear explanation of where marketing, sales, and finance diverge
- A prioritized list of the first metrics to standardize
- A practical path into metric governance, data foundation, or revenue analytics implementation
This is for you if...
- Your teams use different definitions for pipeline, revenue, or qualified opportunities
- You are expected to be the source of truth, but the source systems disagree
- Your last dashboard project created more rigidity than trust
- You need a fixed-fee way to make the problem visible before you push a bigger fix
This isn't the right fit if...
- You want a dashboard redesign without changing definitions
- You need a full ERP or CRM implementation
- Leadership is unwilling to look directly at the conflicting logic across teams
What you get
Metric map
A visual model of where core revenue definitions split across systems and teams.
Trust assessment
Which numbers are dependable, which are duct tape, and which should stop being used immediately.
Fix sequence
A short, prioritized plan for the first definitions, models, and governance rules to standardize.
Implementation path
A clear handoff into Revenue Analytics or Data Foundation, depending on the real bottleneck.
How It Works
Collect
We gather the reports, definitions, and systems each team is using to answer the same revenue questions.
Compare
We isolate where terms, joins, ownership, and workflow handoffs begin to diverge.
Map
We turn the disagreement into a visible metric map leadership can understand quickly.
Prioritize
You leave knowing which 2-3 metrics to standardize first and which fixes matter most to executive trust.

Not ready to book yet?
Get the framework we use before we touch metric definitions
When marketing, sales, and finance disagree on the number, the problem is almost never one bad formula. It is a combination of ownership gaps, definition drift, and system mismatches. This framework shows how we sort that out before anyone starts rebuilding dashboards.
- How we identify whether the mismatch is a definition problem, a system problem, or a people problem
- The operating questions we ask before recommending metric governance versus a data foundation fix
- A practical way to get three teams looking at the same number without launching a six-month project
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Where this usually leads
Mid-Market SaaS Company
Marketing and finance finally shared the same attribution and revenue picture
Marketing and finance had been arguing over attribution for quarters. We built reporting that connected campaign spend to closed-won revenue in terms both teams trusted — the metric debate stopped.
Read case studyFast-Growing Fintech Startup
Twelve scattered tools became one trusted warehouse
Twelve SaaS tools, zero agreement on the numbers. We consolidated everything into one warehouse with tested models so leadership could stop reconciling spreadsheets.
Read case studyReady for the full engagement?
Need to rebuild the definitions, not just find the gaps?
If this diagnostic reveals that the metric mismatch is structural — different systems, different definitions, different incentives — Data Foundation rebuilds the shared layer so every team works from one number.
Explore Data FoundationGo Deeper
If your revenue reporting fights break out every month, start with the broader revenue analytics perspective here.
See Revenue AnalyticsCommon questions before booking this diagnostic
Do you need every team to agree before the project starts?
What does the team actually receive at the end?
Is this still useful if the problem is really governance, not dashboards?
What happens if we need more than a diagnostic?
If every team has its own number, start here
This is the fastest way to turn a vague trust problem into a visible systems-and-definitions problem you can actually solve.
Book a Discovery Call