Scope a data build SERVICE 02 / DEFINE THE BUSINESS ONCE
Give every team the same economic scoreboard.
We model the business concepts behind ecommerce decisions—customers, orders, cohorts, contribution, attribution, subscriptions, returns, and products—then deliver them through the interface and operating rhythm the decision requires. A dashboard may be part of the answer. It is never the whole system.
01 / QUESTIONS
The answer should survive the meeting.
Which first products, offers, and promotions lead to durable profitable demand?
How are returns, repeat behavior, and inventory constraints changing the story?
02 / FAULT LINES
Find where trust breaks before choosing the tool.
Metric drift
The same label points to different filters, time windows, attribution rules, or source systems across reports.
Missing economics
Platform revenue omits the returns, discounts, shipping, fees, fulfillment, COGS, and timing needed for commercial decisions.
Interface without adoption
A dashboard exists, but it is not connected to a meeting, owner, threshold, or action—so operators still request manual analysis.
03 / SCOPE
From governed definition to accountable action.
Model the business
Create reusable analytical concepts that reconcile the systems and preserve the grain needed for real decisions.
- Customer, order, product, and cohort models
- Contribution and returns-adjusted economics
- Attribution and subscription logic
Govern the meaning
Make every important metric inspectable rather than burying logic inside a chart or spreadsheet.
- Metric definitions and owners
- Tests, lineage, and documentation
- Freshness and reconciliation checks
Deliver the decision
Choose the interface around who decides, how often, and what action follows—not around a preferred BI tool.
- Executive and functional scorecards
- Scheduled briefs, alerts, and analysis
- Planning models and purpose-built interfaces
04 / SOURCE TO DECISION
Decision products should explain, not just display.
A useful BI system shows the number, its governed meaning, relevant comparison, and the path back to source. We pair delivery with validation, documentation, and team handoff so the answer can become part of the operating cadence.
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.
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.