The data agency.One dashboard, numbers you trust.
Your data probably lives in a CRM, a few ad accounts, Stripe and a pile of spreadsheets. That's not reporting, it's a monthly reconciliation chore. As a data agency for SMBs and scale-ups, we centralize it in one place, clean it, automate the flows that keep it fresh, and build dashboards your team reads in 30 seconds.
★★★★★Verified Trustpilot reviews · AI, automation & growth agency
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GeminiA data agency that turns scattered tools into numbers you trust, not just charts.
Anyone can plug in a dashboard tool. Centralizing your scattered sources, cleaning the data so one metric means one thing, and automating the flows that keep it fresh is a different job. Here are the four things we own.
- Centralize your sources
Every tool piped into one place, on schedule
Your numbers live in a CRM, a few ad accounts, Stripe and a dozen spreadsheets, and once a month someone stitches it all together by hand. We connect those sources and pull them into one central place automatically, on a schedule, with connectors like Fivetran or Airbyte and n8n flows (small automated pipelines) for the tools that have no ready-made connector. No more exporting CSVs, no more two numbers for the same thing.
See a typical setup - Clean & standardize
Raw data cleaned into numbers you can trust
Raw tables don't answer business questions, and a metric that means three different things is worse than no metric at all. We land everything in one central store (your warehouse: BigQuery, or a managed Postgres database if you're smaller, sized to you), then clean, deduplicate and standardize it so revenue or active customers means one thing everywhere. Documented and tested, so the numbers hold up the day someone asks where they came from.
See the method - Dashboards that get opened
Read your business in 30 seconds, not 30 tabs
A dashboard nobody trusts gets ignored, and the team quietly goes back to gut feel. We build the reporting in Looker Studio, Metabase or the tool you already pay for, on top of clean data, so every chart traces back to a real definition. The goal is plain: you open one screen on a Monday and know where the business stands in 30 seconds, instead of opening 30 tabs and hoping they agree.
See how it works - Automated flows & alerts
The flows that keep it fresh, without you watching
Data goes stale the moment nobody's watching it. We automate the flows that keep it up to date with tools like n8n (a workflow tool that moves data between apps on its own), add freshness checks and alerts so a broken source pings you before it pings your CEO, and push the clean numbers back into the tools your team works in, like your CRM. Personal data is handled with care, GDPR included. We're an automation and AI agency first, so this plugs into how you already run.
See AI enablement
From scattered data to a dashboard you read in 30 seconds.
Most data projects die the same way: a dashboard tool bought, raw exports dumped in, and three charts that disagree until everyone goes back to gut feel. So we run the path in order: centralize every source in one place, clean and deduplicate it, automate the flows that keep it current, then build dashboards on top of numbers that hold up. That's the whole trick, and it's a boring, repeatable one.
- Audit · we map your sources, your real questions, and where the numbers break today
- Centralize · connectors and n8n flows land every source in one place, on schedule
- Clean · we standardize and deduplicate so one metric means one thing, tested and documented
- Activate · dashboards you read in 30 seconds, automated flows and alerts, handed over with the docs to own it
Built for teams that need answers, not a data department.
We don't sell a partner tier. We run our own decisions on the exact setup we build for you: centralized sources, automated flows, clean tested numbers, and dashboards we actually open on a Monday. That's what's missing when a data project ends at handing over a chart nobody can explain, and it's why we build for people who need the answer, not the vocabulary.
- We build the setup we'd run ourselves: centralized data, automated flows and clean tested numbers, not a tangle of brittle scripts held together with hope.
- Built for SMBs and scale-ups, not a data-science lab: no jargon you don't need, just reporting that finally agrees with itself.
- You leave autonomous: the whole setup lives in your own tools and repo, documented, so your team runs it long after we're gone.
- Honest about fit: if a clean spreadsheet still answers your questions, we'll tell you before you pay for a warehouse you don't need yet.
One place for your data, automated flows keeping it fresh.
We set up the parts that turn scattered sources into reporting your team trusts, then connect them to how you already work. Here's what a real data build covers, in plain terms.
- Setup
Connect & centralize
We connect your sources (CRM, ads, billing, product) with connectors like Fivetran or Airbyte, plus n8n flows where no off-the-shelf one exists, so every source lands in one central place on a reliable schedule.
- Setup
Clean & deduplicate
We standardize and deduplicate the raw data so one customer is one customer and one metric has one definition, instead of three spreadsheets that each tell a slightly different story.
- Setup
A store sized to you
We set up the central store your data lands in (BigQuery or a managed Postgres, sized to your volume and budget), with the roles and cost controls that keep it fast and the bill predictable instead of a runaway invoice.
- Setup
Automated data flows
We build the n8n flows that keep everything fresh: pulling new data on a schedule, syncing between your tools, and running the repetitive glue work that used to eat someone's Monday morning.
- Setup
Dashboards & reporting
We build the reporting layer in Looker Studio, Metabase or your existing tool on top of clean data, so every chart traces back to a real definition and the team can read the business in 30 seconds.
- Setup
Alerts, quality & privacy
We add freshness checks and alerts, handle personal data in a GDPR-aware way, and push clean numbers back into your CRM and tools, so trustworthy figures show up where decisions actually get made.
We map your data and your real questions, you leave with a plan.
Before quoting anything, we take 60 minutes to look at your sources, your current reporting and the decisions you actually need the data for. You leave with an honest read on what to centralize first, whether you even need a warehouse yet, and where the numbers break today. Zero pitch, just an engineer's take on your data.
- An honest read on what to centralize and clean first
- The sources and automated flows worth setting up
- The metrics to define once and trust everywhere
- A ballpark cost (from $2,000) and a realistic timeline
How we run a data build.
Five steps, in order. We don't ship a dashboard before the data is centralized and cleaned, we don't build a warehouse you don't need yet, and your team owns it at the end. Each step has a deliverable and you sign off before we move on.
- Step 1 · Data audit
Map your sources and the questions that matter
We sit down with you and look at what you actually need to decide: which metrics drive the business, where the data lives, and why today's numbers don't agree. We check your sources, your current tracking and any existing reporting. Half the value is telling you what to fix first, and whether you even need a warehouse yet, before anyone builds a pipeline.
- Step 2 · The plan and the price
We agree what to build first, and what it costs
After the audit you get a real quote. Pricing starts from $2,000 and moves with the scope, so the figure reflects the work in front of us instead of some package pulled off a shelf. We line up what gets built first and in what order, then put a timeline on it, anywhere from a week to six months depending on how big the job is. Nothing gets billed until you've signed off on the plan and the price.
- Step 3 · Centralize & clean
Pull your sources in and turn raw data into numbers you trust
We connect your sources and pull them into one central place with connectors and n8n flows, then clean and deduplicate the raw data so one metric is defined once and means the same thing everywhere. Everything is documented and tested, so when someone asks where a number came from there's a clear, reviewable answer instead of a shrug and a fresh export.
- Step 4 · Dashboards & automation
Ship the dashboards and automate the flows
We build the dashboards in Looker Studio, Metabase or the tool you already use, on top of clean data, so you read the business in 30 seconds. Then we wire the n8n flows that keep it fresh, add freshness checks and alerts, and push clean numbers back into the CRM and tools your team already works in. It all ships with monitoring from day one.
- Step 5 · Hand over & train
Train the team, then get out of the way
We train your team on the setup: how the flows work, how to add a metric, what to check when a number looks off. The docs live in your repo so new hires inherit them. After delivery we keep an eye on the flows and stay reachable, and if you'd rather run everything in-house, that was always the plan. Want to go deeper on AI and automation? Our training covers that end to end.
We're judged on the numbers teams act on.
No partner badge to display, so we lead with what matters: feedback from the teams whose data we centralized, and whether they kept deciding on those numbers after we left. More than 40 companies worldwide since 2024, and our Trustpilot reviews come from those teams, not from a marketing deck.
- The whole setup lives in your own tools and repo, owned by your team
- Every metric defined once, tested, and traceable to its source
- Freshness checks and alerts wired before any dashboard ships
- Trustpilot reviews come from the teams whose data we centralized
Your data questions, answered straight.
What does a data agency actually do?
A data agency takes the numbers scattered across your tools and turns them into reporting you can actually trust. We centralize your sources (CRM, ads, billing, spreadsheets) into one place, clean and deduplicate the data so every metric has one definition, automate the flows that keep it fresh, and build dashboards your team reads in 30 seconds. The point is decisions made on numbers everyone agrees on, not a pretty chart nobody believes. Since 2024 we've done exactly this for more than 40 companies worldwide.How much does it cost to centralize and clean our data?
Pricing starts from $2,000 and climbs with scope. Connecting three sources into one dashboard is a very different job from piping a dozen tools, building automated flows and pushing clean numbers back into your CRM. We don't hand out a flat package, because the right scope depends on how scattered your data is today. After a free 60-minute audit you get a fixed quote and a timeline, usually somewhere between a week and six months. The warehouse and connector tools (BigQuery, Fivetran) you pay the vendor directly, and we set up the cost controls so the bill stays predictable.Our data is scattered across a dozen tools. Where do you even start?
We start by centralizing, not by buying more software. In the audit we map every source (CRM, ad accounts, Stripe, the spreadsheets people email around) and pin down where the numbers stop agreeing. Then we connect those sources and pull them into one central place on a schedule, using ready-made connectors where they exist and n8n flows where they don't. Once everything lands in one spot, cleaning it and reporting on it stops being a monthly firefight and becomes routine.Can you automate the flows that keep our data up to date?
Yes, that's a big part of the job and where the automation side earns its keep. We build the flows, mostly in n8n (a tool that moves data between apps on its own), that pull new data on a schedule, sync between your tools, and handle the repetitive glue work that used to eat someone's Monday. So your dashboards stay current without anyone exporting a CSV, and a broken source triggers an alert instead of a wrong number sitting there for a week. We've shipped more than 150 automations since 2024, so this is the part we do in our sleep.Can you build dashboards on top of the tools we already use?
Yes, and we'd rather plug into your stack than rip it out. We build dashboards in Looker Studio, Metabase or whatever reporting tool you already pay for, all on top of clean, centralized data so every chart traces back to a real definition. We also push clean numbers back into the tools your team lives in day to day, like your CRM, so the trustworthy figures show up where decisions actually get made, not just in a reporting tab someone forgets to open.Our data is a mess. Can you still help?
Usually yes, and we'll be straight about it. Data is garbage in, garbage out: if nobody upstream owns how it's captured, the cleanest flow still surfaces wrong numbers. Sometimes the first job isn't centralizing at all, it's agreeing on what to track and who owns it so the data arrives consistent. We'll tell you in the audit whether you're ready to build, or whether fixing the source comes first. Either way you leave knowing what to fix, in what order.We're a small team. Do we even need a warehouse?
Maybe not yet, and we won't sell you one you don't need. If your whole business runs on a couple of tools and a clean spreadsheet still answers your questions, a full warehouse is overkill and a cost you'll resent. Often the right first move for a small team is centralizing into a lightweight store, automating a few flows so nothing is manual, and one simple dashboard on top. We'll tell you honestly when a warehouse is premature and what to do instead until you grow into one.How do you keep the data accurate and GDPR-compliant?
Accuracy comes from testing and monitoring: checks on every transformation, freshness checks on the flows, and alerts so a broken source pings the team before it pings a dashboard. A number that can't be traced back to a source doesn't ship. On GDPR, we handle personal data with care: scoped access, keeping only what you need, and clear handling of any personally identifiable fields, so your reporting stays accurate without turning into a compliance headache down the line.
Stop reconciling spreadsheets. Read your business in 30 seconds.
A free 60-minute audit, your sources and real questions mapped, a plan to centralize, clean and automate from $2,000. If your team can run it in-house after setup, we'll hand you the playbook. If we're the right fit, we handle it.