Managed analytics services: answers, not just charts.
We build it to capture the data, we run the database and the dashboards, and we tell you the story — what changed, why, and what to do next. We build it, we measure it, we tell you what it means. This is the studio's differentiator: the layer ordinary web shops can't sell, because it isn't a deliverable. It's a practice, led by a data scientist.
The problem it solves
Most businesses don't have a data shortage; they have a meaning shortage. Dashboards get built, then quietly stop being trusted — a feed breaks, a definition drifts, nobody owns the numbers — and decisions go back to gut feel with better decoration. Meanwhile the expensive questions ("which campaign is actually making money?", "why did Tuesdays fall off?") are answered by nobody, monthly, forever. Managed analytics closes that loop with an operating model instead of another tool: instrument properly, keep the data true, and put a written interpretation in front of the owner every month.
Built to measure
Every system ships with a measurement plan: the events worth tracking, clean definitions for each, and a metric dictionary your whole team can read. Where data lives in several systems, we implement a small data warehouse so the joins happen once, correctly, in one place.
Kept true
The studio maintains your database and dashboards as a service: data-quality checks, freshness and anomaly alerts, definitions that don't drift. When a number moves, you can trust it moved — it isn't a broken feed wearing a costume.
Told straight
A monthly Decision Brief — state of the business in one sentence, what changed and why, two or three prioritized actions — reviewed on a call. At the deeper tier, a quarterly strategy review resets the priorities and the measurement plan.
What the practice runs
Two proof pieces are in the lab now — the products this practice operates. Every booking system and dashboard we build can be brought onto the same layer.
Ad-spend dashboards
- Spend, leads, cost per lead, revenue, and ROAS in one executive view
- Budget pacing — planned vs. actual, projected month-end, overspend alerts
- Channel → campaign → ad drill-down; platform-reported conversions always shown separately from confirmed sales
- The monthly brief names the winning and the bleeding campaign — and the action for each
Demo · In the lab See it on the Work page →
QR survey systems
- A branded two-minute mobile survey behind a QR code — table tent, poster, receipt
- Results dashboard: headline score with its full distribution, trend, location comparison
- Drill from a low score straight to the comment behind it; low-score alerts to a manager
- The monthly brief turns comments into the two or three operational fixes worth making
Demo · In the lab See it on the Work page →
Deliverables & how it starts
You receive
- A measurement plan and metric dictionary — your definitions, documented
- Your database, implemented and maintained (a data warehouse where multiple sources need joining)
- Maintained dashboards with data-quality checks and freshness/anomaly alerts
- API integration and reporting automation across your sources — payments, ads, bookings, surveys
- The monthly Decision Brief and review call; quarterly strategy review at the deeper tier
- Full export of everything, any time — your data, your documents
Implementation stages
- 01 · Baseline — audit what exists: sources, definitions, the questions you actually ask
- 02 · Instrument & build — measurement plan live; database and dashboards built; quality checks armed
- 03 · First brief — the first Decision Brief lands and is reviewed with you; alert thresholds tuned
- 04 · Monthly cadence — the operating cycle runs: instrument → maintain → brief → act (the cycle, in full)
Security & ownership, plainly: scoped, read-first access with named credentials; your data is never shared across clients; everything is exportable in open formats. Access list is written down and revocable line by line.
Questions buyers actually ask
What exactly is a Decision Brief?
A short monthly document — and a call to review it — with three parts: the one-sentence state of your business, what changed this month and why (traced to the data, not vibes), and two or three prioritized next actions with the reasoning attached. It is written by the practice lead, a data scientist, from your maintained dashboards. It is deliberately not a 40-chart export: if everything is highlighted, nothing is decided.
Who owns the data, the warehouse, and the dashboards?
You do — all of it, contractually and practically. Your data lives in infrastructure set up for your business, documented in your metric dictionary, exportable in open formats at any time. The studio operates it for you; operation is a service, not a hostage arrangement. If you ever take it in-house, the handover is a documentation exercise, not a negotiation.
What access do you need to our systems?
Scoped, read-first access to the sources in your measurement plan — ad accounts, payment processor, booking/lead tools, spreadsheets we agree on. Least-privilege credentials, named accounts rather than shared passwords, and a written list you can revoke line by line. Security is treated as a design constraint from day one, not a cleanup item.
What if the numbers are bad?
Then the brief says so, plainly, with the why and the most promising lever — that is the entire point of the practice. A service that only reports good months is a decoration. Several of our clients' most valuable briefs were the uncomfortable ones: a bleeding campaign named early is money saved, not bad news delivered.
How is this different from hiring an analyst?
An analyst is a headcount: you recruit, manage, and keep one person's knowledge in one head. This is a practice: the instrumentation, the maintained database and dashboards, the definitions, and the monthly interpretation arrive as one system, led by a data scientist, with the documentation living in your business rather than in an employee's notebook. For most service businesses it covers the need at a fraction of the commitment of a full-time hire — and it starts from systems already running, not a job posting.
The next step
A 30-minute discovery call. Bring the question your numbers never answer — we'll show you what the first Decision Brief on your business would need, and whether we're the right practice to run it.