Service
Your numbers, up to date, without building the report by hand
We bring together the data that now lives in your CRM, invoicing, online store and several spreadsheets, clean it, and turn it into a dashboard that updates itself. Monday’s report stops costing a morning.
01What we do
What we do
Data pipelines
We pull data from your tools every day or hour and keep it tidy in one place: a sheet, a database or a warehouse.
Well-defined KPIs
We agree with you what gets measured and how it is calculated, so “monthly sales” means the same thing to everyone.
Dashboards
In Looker Studio, Metabase or Power BI, with views for leadership, sales or operations and permission-based access.
Automated reports
The weekly summary arrives by email or Slack, with alerts when a metric moves out of its normal range.
02Why it matters
Why it matters
Decisions on today’s data
Not on the spreadsheet someone updated two weeks ago.
Reporting hours back
Copying, pasting and formatting figures every week is work that needs nobody.
One version of the truth
Every team looks at the same numbers, calculated the same way.
03How we do it
How we do it
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Questions before charts
We start from the decisions you make each week and the data you need to make them.
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Source inventory
Which systems hold that data, how to get it out and how good it is.
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A first dashboard in weeks
A useful version early and improvements based on real use, instead of a big project that takes months.
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Light maintenance
We watch the data loads and adjust when your tools change.
04Examples
What we automate
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Weekly sales report
- Today
- Every Monday someone exports from the CRM and invoicing and builds the tables by hand.
- Automated
- At 8:00 on Monday a summary arrives by email with a link to the updated dashboard.
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Margin per project
- Today
- The real margin of each project is known weeks after it closes.
- Automated
- Hours, expenses and invoicing are matched daily and the margin is visible while the project is live.
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Stock alerts
- Today
- Stock-outs are discovered when a customer asks.
- Automated
- A daily alert lists the products that will run out in the next few days at the current sales pace.
Examples of the kind of project we do; each one is designed around your process.
Usual tools
- Looker Studio
- Metabase
- Power BI
- BigQuery
- PostgreSQL
- Google Sheets
- n8n
- Python
We work with what you already use; this list is only a guide.
05Questions
Frequently asked questions
Looker Studio, Metabase or Power BI?
Looker Studio is free and fits if you work with Google; Power BI is the natural choice in Microsoft shops; Metabase is open source and can be self-hosted. We choose based on what you already use and who will read the dashboard.
Do I need a data warehouse?
Not always. With a few sources and moderate volume, a well-structured sheet or a small database is enough. We propose a warehouse only when volume or the number of sources justifies it.
Who can see each figure?
We set permissions per person or group, so each team sees its own data and sensitive data stays restricted.
06Other services
Other services
Shall we start with your process?
Tell us which task eats your team’s time. In the free audit we tell you what to automate first, with which tools, and what it would cost.