01
Acquisition
Which source generates useful leads, not just traffic.
Business Intelligence System
Stop piecing reports together by hand. Decide with data that actually explains the business.
We connect web, SEO, campaigns, CRM, sales, and operations into a clear reporting system: fewer loose spreadsheets, more answers about which channel brings leads, what converts into revenue, and where margin is lost.
02
Sales
Which campaigns, pages, or teams end in revenue.
03
Operations
Where bookings, stock, processes, or margin get stuck.
Problem
Your data already exists. The problem is that it is scattered.
When every data point lives in a different tool, deciding becomes intuition, not analysis.
01
Leads with unclear origin
Forms, calls, and WhatsApp messages arrive without knowing which channel generated them.
02
Sales disconnected from marketing
Stripe, ecommerce, CRM, or Excel do not explain which campaigns actually sell.
03
SEO and campaigns in silos
GA4, Search Console, Meta, and Google Ads show activity, not business results.
04
Operations on manual spreadsheets
Reservations, stock, suppliers, or 3PL rely on reports no one trusts.
Solution
From scattered data to daily decisions.
We create an intelligence layer on top of your digital business so marketing, sales, and operations work from the same truth.
01
Diagnosis
We review sources, permissions, data quality, and current reports.
02
Business model
We define KPIs that connect acquisition, pipeline, sales, and operations.
03
Integration
We automate imports, cleaning, and rules to reduce manual work.
04
Dashboard
We build Power BI, a private panel, or both based on real team usage.
05
Decision rhythm
We deliver reporting, documentation, and a roadmap for monthly improvement.
Architecture
From scattered sources to a reliable business view.
The architecture can be simple or advanced. What matters is that every data point has an origin, a calculation rule, and a useful screen for deciding without copying information between tools again.
Phase 1
Sources
- Website / PayloadCMS
- Forms
- CRM
- Stripe / ecommerce
- GA4 / Search Console
- Ads
- Excel / CSV
- Reservations / operations
Phase 2
Ingestion
- APIs
- Scheduled imports
- Validation
- Cleaning
Phase 3
Data layer
- Snowflake when the case requires it
- Structured business models
- KPI views
Phase 4
Presentation
- Power BI dashboards
- Private Next.js dashboard
- Monthly executive reports
Use cases
Where it brings the most clarity
The system adapts to companies where commercial, web, and operational data already exist but do not yet explain the business.
Ecommerce
- Sources
- Stripe, CMS, GA4, Search Console, campaigns, and catalog.
- KPIs
- Revenue, products, campaigns, abandoned carts, and margins.
- Outcome
- Know which channels and products generate real profitability.
Clinics
- Sources
- Forms, calls, bookings, CRM, and local campaigns.
- KPIs
- Leads, appointments, treatments, conversion, and source attribution.
- Outcome
- Invest in the sources that bring higher-value patients.
Logistics / 3PL
- Sources
- Provider spreadsheets, fulfillment, stock, sales, and operations.
- KPIs
- Consolidation, stockouts, times, operating cost, and performance.
- Outcome
- Reduce manual reporting and detect operational friction earlier.
Real estate
- Sources
- Portals, forms, CRM, agents, and campaigns.
- KPIs
- Leads per property, source quality, response time, and commercial performance.
- Outcome
- Prioritize properties, agents, and channels with the best conversion.
B2B Services
- Sources
- SEO, ads, forms, CRM, proposals, and invoicing.
- KPIs
- Lead source, MQL, SQL, close rate, average ticket, and attributed revenue.
- Outcome
- Connect commercial investment with sales, not just traffic.
Education
- Sources
- Landing pages, forms, payments, attendance, and internal platforms.
- KPIs
- Enrollments, attendance, retention, revenue, and cohorts.
- Outcome
- Understand which programs attract best and which retain most.
To see how this layer changes real decisions without exposing client data, read the anonymous business intelligence case.
Deliverables
What gets implemented
We deliver the measurement foundation, business logic, and documentation needed for the system to be maintained and improved.
Audit of sources and data quality
KPI map by business area
Tracking and attribution plan
Data layer only when it adds value
Automated and validated imports
Power BI dashboard or private panel
Executive and operational views
Documentation of rules and metrics
Training session for the team
Monthly improvement roadmap
Packages
Scope is defined by the sources and the decisions you need to make
Three ways to start depending on the maturity of your website, your data, and your team.
From initial diagnosis
Website Measurement Foundation
For companies building a new website.
For websites that need to be measurable from day one.
- Conversion tracking
- SEO/GEO measurement
- Lead source attribution
- CMS and data ready for dashboard
- Basic reporting dashboard
Custom project
Growth Intelligence Setup
For companies with data scattered across multiple tools.
For businesses that need a clear view of sales, marketing, and operations.
- Data audit
- 3-5 connected sources
- Snowflake or data warehouse when needed
- Cleaning and modeling
- Power BI dashboard
- Executive KPI report
Based on sources and complexity
Custom Data Portal
For premium systems and operations with specific needs.
For companies that need a custom operational panel, not just BI reports.
- Private Next.js dashboard
- Role-based access
- KPI cards
- Report export
- Power BI integration
- Optional AI assistant on data
Why Different Growth
We are not a generic BI consultancy
The advantage lies in combining business judgment, technical execution, and product experience.
01
We design the website and measurement as part of the same system, not as separate projects.
02
We connect SEO, campaigns, CRM, operations, and digital product to explain revenue, not just visits.
03
We choose the tool based on the problem: Power BI, private panel, data warehouse, or a simpler base.
04
We build interfaces that leadership understands and the operational team can use daily.
05
We prioritize clarity, maintenance, and defensible decisions over technical complexity.
Honest fit
Not every business needs Snowflake. Every business needs a shared truth.
If your data volume does not justify a data warehouse, we do not force it. We first design a solid measurement base. Snowflake, Power BI, or a custom dashboard come in when they reduce friction, prevent errors, or make a decision faster.
Process
How we build it
A business intelligence project does not start with the tool. It starts by deciding what questions the system must answer.
01
Data source diagnosis
02
KPI definition
03
Architecture design
04
Integration and cleaning
05
Dashboard and reporting
06
Monthly iteration
FAQ
Frequently asked questions
Direct answers to understand scope, technology, and preparation before the diagnosis.
Do I need Snowflake to get started?
No. We first validate volume, complexity, and real need. If a measurement base, automated imports, and Power BI solve the problem, we do not add Snowflake. We use it when it provides stability, scale, or data governance.
Does Power BI replace a custom dashboard?
Not always. Power BI is excellent for executive reporting and operational analysis. A custom dashboard makes sense when you need a simpler experience, specific roles, a private portal, internal flows, or an interface the team uses daily.
Can you connect provider or 3PL Excel files?
Yes. We can ingest Excel or CSV on a scheduled basis, validate structures, clean fields, and consolidate data so you no longer depend on manual copies between sheets.
Does this work if my website is built in WordPress?
Yes. We can connect forms, databases, plugins, APIs, or WordPress exports. If the current site limits measurement, we propose a concrete improvement before suggesting a full rebuild.
How long does a business intelligence project take?
A diagnosis can be done in days. An initial setup usually takes between 3 and 8 weeks depending on sources, data quality, permissions, and dashboard level. Custom portals require more specific planning.
What do I need to prepare before the diagnosis?
A list of tools, examples of current reports, KPIs you review each month, sales sources, available access, and an honest explanation of where the most time is lost consolidating data.
Can it connect with SEO, campaigns, and sales?
Yes. That is a central part of the service: connecting acquisition, web behavior, leads, pipeline, and sales to know which actions generate business and which only generate activity.
Can AI be added later?
Yes, but only when the data foundation is reliable. An assistant on business data can help query reports, summarize variations, or prepare questions, always with permissions, limits, and traceability.
Business intelligence by city
Dashboards, data, and reporting adapted to the commercial context of each market.
AlicanteBusiness intelligence in Alicante
BilbaoBusiness intelligence in Bilbao
MálagaBusiness intelligence in Málaga
SevillaBusiness intelligence in Sevilla
ValenciaBusiness intelligence in Valencia
ZaragozaBusiness intelligence in Zaragoza
Resources
Guides to choose wisely
Comparisons and anonymous cases to decide with more context before building a data system.
Power BI vs custom dashboard
When BI analysis makes sense and when to build your own operational interface.
BI consultancy vs integrated digital studio
Differences between solving data architecture and connecting web, SEO, CRM, and sales.
Manual reporting vs business intelligence
Signs that spreadsheets are already delaying decisions.
When more leads did not mean more sales
Anonymous case on lead quality, attribution, and commercial focus.
Operational reporting to protect margin
Anonymous case on operations, suppliers, and alerts before monthly close.
Next step
If your reports do not change decisions, they are not business intelligence.
We review your current sources, identify what can be automated, and define a realistic first architecture to turn scattered data into commercial decisions.