Data trapped in silos
The ERP in one place, the CRM in another, ecommerce in a third, marketing in a fourth. Nobody has the full, real-time picture of the business.
The problem
Without data, there are no decisions — just opinions
These are the usual roadblocks when a company wants to move from spreadsheets to serious BI.
Excel hell: reports that take days
Every Monday someone spends half a day pulling data from five systems into one spreadsheet. By the time the report arrives, it's too late to act on.
Dashboards nobody uses
There's a Power BI set up two years ago with 40 tabs. The team looks at it for the first month and never again. The data is outdated or simply broken.
Gut-feeling decisions
Without clear KPIs or live dashboards, decisions are made by guesswork. And guesswork is how you lose opportunities, margins and customers.
Measurable impact
Well-built BI shows in the numbers
Typical results we achieve in business intelligence projects for SMEs and mid-market companies in Spain.
Dashboard types
The right dashboard for every audience
We design specific dashboards for every level of the organization. Same sources, different KPIs, different decisions.
Executive
LeadershipBusiness KPIs on a single screen for management and the board. The month at a glance, without opening three systems.
Monthly revenue
€ 142.380
+12%
Gross margin
38.2%
+1.4pp
Cash flow
€ 56.200
+5%
Operational
TeamDay to day by area: production, sales, warehouse. Actionable metrics the team checks every morning.
Open orders
147
-3
Critical stock
12 SKUs
+2
Average SLA
94%
+0.8pp
Sales
SalesPipeline, conversion and forecasts by sales rep and product. A live mirror of your CRM.
Pipeline
€ 412.000
+8%
Conversion
24%
+1.2pp
Average order value
€ 1.840
+€90
Financial
CFOReceivables, payables, treasury and 90-day forecasts. Cash control without logging into the bank.
Outstanding receivables
€ 89.450
-12%
DSO
38 days
-3
Liquidity
€ 124.000
stable
ETL / BI flow
From raw data to dashboard, step by step
We don't start with the tool, we start with the decision. This is how a typical project flows from the data source to the final dashboard.
01
Sources
An inventory of data sources: ERP, CRM, ecommerce, marketing, spreadsheets, APIs. Quality audit and priorities.
02
Ingestion / ETL
Automated pipelines that extract, clean, deduplicate and transform data according to your business rules.
03
Semantic model
A data warehouse with a single business model: customers, products, sales, costs and KPIs defined by everyone.
04
Visualization
Dashboards in Power BI, Metabase, Superset or Tableau. Designed with real users and validated sprint by sprint.
Which tool?
Power BI, Metabase, Superset or Tableau
We don't sell licenses and we're not tied to any tool. We recommend the one that best fits your case. Here's a quick overview to help you get your bearings.
PB
Power BI
Licenses by plan and number of users
Best for
When you already use Microsoft 365 and need strict governance.
Maturity, governance and built-in Azure integration.
Per-user cost and dependence on the Microsoft ecosystem.
M
Metabase
Self-hosted or cloud plan
Best for
SMEs that want BI today without paying for licenses.
Open source, easy to learn and very quick to set up.
Less powerful for very complex data models.
AS
Apache Superset
Free when self-hosted
Best for
Technical teams, large datasets, in-house governance.
Open source, scalable and very SQL-friendly.
Steeper learning curve for business users.
T
Tableau
Licenses by plan and number of users
Best for
Companies with a mature data culture.
The market benchmark for visualization, with a solid ecosystem.
Expensive, vendor lock-in and a steep learning curve.
Our approach
The data-driven principles we stand by on every project
Before we touch any tool, the philosophy is clear. These are the four principles we always apply.
Useful BI = faster decisions
A dashboard isn't decoration: it's a tool for making better decisions, faster. If it doesn't lead to action, it's useless. That's why we design every dashboard with the team that will use it, validate KPIs sprint by sprint and ruthlessly drop any metric that has no owner and no decision attached.
- Single source of truth — one common data model across the whole organization.
- Data governance — clear KPI definitions, assigned owners and traceability.
- Controlled self-service — the team explores data without breaking the model.
- Actionable KPIs — every metric has an owner, a target and a decision attached.
FAQ
Common questions about dashboards and BI
Do I need Power BI, or will something cheaper do?
It depends on the case. For SMEs, Metabase (open source, free when self-hosted) or Looker Studio is usually enough. Power BI or Tableau add more value when there are complex data models or strict governance.
How much does a BI project cost?
The cost depends on the data sources, the KPIs and how much data preparation is needed. We define the dashboards and architecture required and give you a fixed-price proposal.
How many data sources can you connect?
In practice, all of them. If the source has an API, an accessible database or regularly exports CSV/Excel, we can integrate it. We've connected everything from proprietary ERPs to Excel files on Drive.
What if my data is "dirty"?
That's the norm. Every project includes data cleansing, deduplication and quality rules. Without clean data, there's no useful BI.
Who maintains the dashboards afterwards?
We hand over documentation and training so your team can evolve the dashboards. If you prefer, we offer monthly support with a block of hours and an SLA.
On-premise or cloud?
Whichever you prefer. We deploy on your on-premise infrastructure or on AWS, Azure, Google Cloud or DigitalOcean. The data is always yours and stays wherever you decide.
Ready to talk about your project?
A free audit of your data and a demo using your own sources. In under 48 hours we'll tell you what can be done, with which tool and in what timeframe.