In business since 2018
10+ companies running live
4 weeks to the first MVP

Every number in your business,
in one model,
in Excel and Power BI.

Inventory, sales, purchasing, e‑commerce and finance stop arguing about the numbers. We build a single data model around your business and hand it back in the tools your team already uses, without a multi‑year rollout of someone else's ERP.

02 / model

One source of truth: read by both Excel and Power BI.

how it works one source of truth, read by both Excel and Power BI
sources
Accounting / ERP · QuickBooks · Xero · SAP
E‑commerce · Shopify · Amazon · marketplaces
Banks · POS · payment gateways
Google Sheets · manual plans
core
Unified data model ClickHouse / Power Pivot · normalization, relationships, DAX measures
interface
Excel · one "Refresh" click
Power BI · dashboards
Below: five cuts of this model. Not five different programs, but five views of the same consolidated data.
03 / directions

Five cuts, one model.

04 / case studies

Client stories with before/after numbers.

Real engagements, anonymized. For each: what it looked like before, what we changed, and how it runs now. Every case has a full write-up with a “driver's seat” and an “under the hood” view.

industry
Consumer goods · toys & kits · multi-channel e-commerce

One screen instead of seven spreadsheets

0 min
daily report assembly · was 3-5 hours

Before: three files, two chats, and Friday's "who has the fresh numbers?". Now one Excel file: hit "Refresh" and in three minutes the whole company is on one screen.

ClickHouse + Power Pivot296 DAX measures2.5 mo to MVP
Read the case →
Cosmetics distribution · four sales channels

Prices across four channels in one click

15-30 min
per cycle · was 1-2 h per channel

A different channel every day of the week. Now: one screen for all four, recommended-price colors moved from Excel into a live view, and the API pulls commissions on its own.

Power Query · MAPI · 4 channels5-6 mo
Read the case →
Import & wholesale of professional cosmetics · ~700 SKU

Frame-based purchasing, it remembers real velocity

~2 min
per rule · was weeks through the ERP

The frame counts only real selling days, started and stopped from your settings. An item that sold out in a week, or sat at zero for months, keeps the velocity of its last full frame. A plain "last 60 days" would read zero.

Power Pivot · DAX207 measuresABC × 2D
Read the case →
Pharma distribution · pharmacies · e-commerce · ~2000 SKU

Sales planning, a plan in any cut

~minutes
plan revision · was weeks of consolidation

The plan lives in Google Sheets; the model spreads it across days, items and clients. Plan vs. actual by team lead, rep, brand and channel, without rebuilding the report.

Power Pivot · DAX3 allocation layers~2 mo
Read the case →
Independent dental practice · 2 doctors · 6 operatories

The schedule was full, the month came up short

itemized
production to cash · was two unrelated numbers

Every step between work performed and money deposited is now a named line: write-offs by plan, balances never chased, claims still in aging. Plus the treatment patients accepted and never scheduled, sorted by expiring benefit.

Power Query · Power PivotChair hour capacity3 weeks
Read the case →
Residential HVAC and plumbing · 14 technicians · 11 trucks

Trucks booked solid, the bank account disagreed

every job
true margin · was revenue only

Drive time costed at a burdened rate, parts at cost, overhead allocated per billable hour instead of spread evenly. Two job types turned out to lose money on every call, and the best technician was not the one with the biggest tickets.

Power Query · Power PivotBurdened rates4 weeks
Read the case →
05 / questions

Questions before the first call.

How is this different from an ERP or a new CRM?

We don't replace your systems; we consolidate the data from them into one model. Your accounting, e-commerce, banks and spreadsheets stay where they are; what changes is what you see on top: a single screen instead of a dozen exports. No multi-year rollout.

What do I actually get?

You get a working file and model that stay with you and live inside your own infrastructure, not in someone else's closed cloud. From there you can run it yourself, or take ongoing support: model development, new reports, maintenance of the ClickHouse servers and databases. We shape the format to you, from a one-off build to continuous work together.

How long until the first result?

We start with the most painful spot, usually e-commerce or purchasing. The first MVP lands in about 4 weeks, and by the end of the second month roughly 80% of the functionality is already working. Other directions plug into the same model as needed.

We run everything in Excel and by hand. Will this fit?

That's exactly the case it's built for. The model is assembled around your business and your terms: if you measure "profit per ton" rather than "revenue per square meter", we count around profit per ton. Manual plans from spreadsheets are pulled into the same picture.

What happens in the free data review?

Before the call we look at your data. On the call we show a map: where your 20% that drives 80% sits, and which direction is the most profitable place to start. No obligation to go further.

next step

A review of your business, free.

Before the call we look at your data. On the call we show a map: where your 20% that drives 80% sits, and which direction is the best place to start. No obligation to go further.