Scope a data build SOLUTION 01 / RECONCILE THE BUSINESS ONCE
Stop asking which revenue number is real.
A single source of truth is not one giant table or one dashboard. It is a governed agreement about source authority, grain, timing, identity, and business meaning—backed by models and reconciliation checks that explain why Shopify, analytics, payments, subscriptions, and finance can disagree.
01 / QUESTIONS
The answer should survive the meeting.
How should tax, shipping, discounts, refunds, cancellations, currency, and timing affect revenue?
Which definitions must be shared, and which legitimate views should remain distinct?
02 / FAULT LINES
Find where trust breaks before choosing the tool.
Different clocks
Order creation, payment capture, shipment, refund, analytics events, and accounting recognition occur at different times.
Different grains
Platforms summarize orders, transactions, customers, sessions, and ledger activity at levels that cannot be joined safely without rules.
Different meanings
Gross sales, net sales, collected cash, recognized revenue, and contribution are treated as synonyms when they answer different questions.
03 / SCOPE
One scoreboard, with the differences explained.
Map authority
Document the source, grain, state changes, timing, and owner behind each critical concept.
- Source and metric inventory
- System-of-record decisions
- Identity and history policies
Model and reconcile
Create shared commerce entities and explicitly reconcile them to source-system totals.
- Order, transaction, refund, and customer models
- Metric contracts and exception logic
- Source-to-model reconciliation tests
Deliver and govern
Expose shared answers through the right interface and keep the definitions current as the business changes.
- Executive and functional views
- Freshness and quality monitoring
- Ownership and change workflow
04 / SOURCE TO DECISION
Agreement becomes an operating system, not a meeting outcome.
Teams can use the same governed concepts while preserving purpose-specific views for cash, finance, marketing, and operations. When numbers differ, the system explains why instead of forcing another spreadsheet reconciliation.
Instrument
Define the events, entities, consent, and identity behavior the decision requires.
Warehouse
Bring useful source data into an owned analytical environment with freshness controls.
Model
Create tested definitions for customers, orders, contribution, cohorts, and other business concepts.
Decide
Deliver governed answers through scorecards, analysis, alerts, briefs, or custom interfaces.
Enable AI
Expose approved data to evaluated AI workflows with permissions and human escalation.
05 / FIT
Know whether this is the right next move.
This is for you if…
- Leadership repeatedly reconciles competing reports.
- Cross-functional metrics depend on commerce, marketing, lifecycle, and finance sources.
- The business is ready to assign owners to definitions and exceptions.
Not the right fit if…
- A single native report already answers the decision.
- Teams want one number without agreeing on its business meaning.
- Source access, definition owners, or validation participants are unavailable.
06 / BUYER QUESTIONS
What buyers usually ask.
Does a single source of truth mean every report shows the same revenue?
No. Cash collected, net sales, recognized revenue, and contribution can legitimately differ. The goal is to define each view, connect it to authoritative records, and make the reconciliation explicit.
Do we need to replace our current dashboards?
Not necessarily. Existing interfaces can often remain if their logic is moved into governed models and their results are validated. The engagement changes only what the decision requires.
How do definitions stay current?
Critical metrics receive an owner, documented contract, tests, and a change process. Source changes and business-rule updates can then be reviewed instead of silently changing reports.
START WITH THE EXPENSIVE UNKNOWN
Bring us the answer you don’t trust.
We’ll review the question and follow up to determine whether a focused teardown is the right next step. The first job is locating the break: collection, modeling, governance, or delivery.