What We Do

Nobody can agreeon the numbers.

Every team is right about its own number and no two of them agree. We settle it in one place: every system feeding one warehouse, every metric defined once, so the company can stop checking and start deciding.

The problem

Forty minutes of a meeting,spent on whose export is right.

Finance pulls from the accounting system. Operations pulls from the booking platform. Marketing pulls from the ad platforms. Each number is defensible on its own terms and none of them match, so the meeting opens with a reconciliation instead of a decision.

Nobody is wrong. They are counting different things and calling them the same word. Until that is settled in one place, every conversation pays the same tax.

We connect the systems you already run into one warehouse and model them once. Finance, operations and leadership stop arguing about the data and start arguing about what to do, which is the argument worth having.

What a foundation actually is

Four layers. Most projects stop at the first one.

Connecting the systems is the part everyone quotes for. It is also the part that delivers the least on its own, because a clean pipeline into an undefined metric still produces an argument.

Structural

Systems, tables and pipelines. The raw material, connected and flowing on a schedule you can rely on.

Semantic

What each number means. Definitions, owners, grain and timing, written down once so every tool answers the same way.

Behavioral

The operating logic your team already runs on. Thresholds, exceptions and the rules that live in people's heads, made explicit.

Decision logic

How a question gets answered. Which drivers to check, in what order, and what action follows from the answer.

Digital Nervous System

A nervous system for your data.It does not stop at a dashboard.

Most engagements end at a dashboard somebody has to remember to open. The last stage sends the numbers back out to the booking system, the CRM and the payroll file, so the work happens where your team already is.

Your systems

sources

Brought in

extract and load

Kept as it arrived

raw storage

Defined once

modeled, tested

One set of numbers

the warehouse

Views by role

reporting

Back in your tools

activation

Access you control · Auditable · Watched for silent failure

A few of the tools we build with

Fivetran logoAirbyte logodbt logoGitHub logoGoogle Cloud logoAWS logoSnowflake logoNeon logoVercel logoMetabase logoHightouch logoAnthropic logoOpenAI logo

What we connect

We have probablyalready built yours.

Every one of these connections can break, and over a long enough run most of them do. Vendors rename their own fields without telling anyone. A purchased file arrives missing the week it covers. A nightly load brings in half the locations.

Keeping all of it running is not glamorous work, and it is not optional either. A pipeline does not fail loudly. The numbers keep arriving, they still look right, and they stopped being true three weeks ago. You find out from a decision you have already made.

Booking, point of sale and scheduling

BoulevardBookerSmartwaiver

Ecommerce and marketplace

ShopifyMagentoAmazon SellerSkio

Finance, accounting and payments

NetSuiteXeroQuickBooksCertiniaStripePayPal

People and payroll

PaylocityRipplingZenefits

Sales, support and customer success

SalesforceHubSpotGainsightGorgiasListen360Birdeye

Marketing and advertising

Google AdsMeta AdsMicrosoft AdvertisingCallRailTaboolaAwin

Analytics, measurement and forms

Google AnalyticsSearch ConsoleGoogle Tag ManagerAmplitudeTriple WhaleTypeform

Purchased data, public records and file drops

CircanaDun & BradstreetGovSpendU.S. CensusNCESBuxtonGoogle SheetsGoogle Drive

This is not the whole list, and a system missing from it is not a problem. Tell us what you run.

Case study

Thirty-plus locations. Six dashboards. Every function in the building looking at the same number.

The problem with fast-growing multi-location operators is rarely a lack of data. It is that the data is right and the picture is wrong. Finance works off a payroll export. Marketing reports from the booking platform. The executive team reconciles both against a spreadsheet that was accurate two weeks ago. One national wellness chain was opening locations every quarter and still running reporting the way it had when it had five.

We connected every relevant source into one warehouse: the booking platform for appointments, memberships and in-clinic operations, e-commerce, payroll for hours and tip allocation, and review scores by location. On top of it we built role-specific reporting. A district manager view for revenue and mix. A regional nurse manager view for clinical and staff operations. Appointments for the front desk. Memberships for enrollment and retention. Marketing, used by both the internal team and the outside agency. The warehouse pushes back into the CRM so it stays current without anyone maintaining it.

The goal was never more dashboards. It was one version of the numbers every function could pull from without reconciling against each other first. When the CEO presents to the board she is working from the same figures the controller reconciled last week. New locations join the stack as they open.

Outcome

A controller, a CFO, a CEO, two clinical management tiers and an outside marketing agency, all drawing from one warehouse. No reconciliation meeting. No conflicting exports. One number.

What changed

What it changed.

23 systems, one place to look

A global business ran twenty-three systems that had never been connected, so every question about the company as a whole started with someone assembling exports by hand. Leadership stopped commissioning that work.

Nobody learns on your business

We have stood this up four times over, on BigQuery and on Redshift, for businesses from thirty locations to global enterprise. None of it was a first attempt.

Reports that stopped breaking

Their charting system renamed its own fields across two hundred template versions without telling anyone, so reports broke on their own schedule and nobody knew which ones to trust. Normalizing it once ended the weekly hunt, and the reporting has held since.

Tired of the reconciliation meeting?

Tell us which systems you run and we will tell you what connecting them looks like.

Talk to Us