Governance
Catalogue, quality and access: who sees what and why it's trustworthy.
Data & automation
Data analytics and engineering: from raw data to the decision
Pipelines that survive production, solid governance and clear dashboards: the pieces that turn data into decisions, with cost in plain sight.
Goal Decisions in secondsScope Pipelines → dashboardsCase 3,000+ live screens
In short
Slash Digital Lab builds data and analytics solutions for companies, because imported data nobody queries isn't an asset: it's a cost. We build the full route (ingestion, quality, governance, dashboards) so any team decides with the right data in seconds. Observability, data contracts and cost control from the first sprint.
Case in production: the urban information platform for JCDecaux and Transmilenio distributes GPS, weather and air quality across 3,000+ screens in Bogotá. The same platform feeds internal systems and owned products; the repetitive work goes to process automation.
What we deliver
What the solution includes
First the decision, then the dashboard. Never the other way around.
Integration
Secure pipelines and APIs to and from your systems.
Visualisation
Dashboards leadership actually opens, on mobile and desktop.
AI on data
Natural-language questions with citations to the data that backs them.
How we work
How the solution is built
Decision map
What gets decided daily or weekly, and with which data today.
Ingestion & quality
Connected sources, data contracts and quality alerts.
Model & metrics
Single definitions agreed across teams.
Adoption
Mobile dashboards, training and an improvement cycle.
Scope and deliverables
What the project delivers
| Governance | Catalogue, quality and access. |
|---|---|
| Integration | APIs, pipelines and batch. |
| Storage | Warehouse or lakehouse. |
| Observability | Freshness, volume and cost per source. |
| Visualisation | Mobile and desktop dashboards. |
| Security | Least privilege and auditability. |
| Languages | ES · EN · FR. |
Proof in production
Data in production
Read more
JCDecaux × Transmilenio
Live data across 3,000+ urban screens
Urban information platform for JCDecaux and Transmilenio: GPS bus arrivals, weather and air quality across 3,000+ digital totems in Bogotá, with QR continuity to mobile.
Learn more →
Read more
Planet Fitness Mexico
Out with ServiceDesk. Owned software. Fewer licenses.
SaaS-exit program with Planet Fitness Mexico: we replaced ServiceDesk with owned multi-area ticketing, shipped PF Rooms (door tablets + Exchange) across CDMX, and we're building the next product to turn off another vertical license, with no paid seats.
Learn more →
Read more
JCDecaux Mexico
From paper to a secure internal platform
Paperless centralizes purchasing, inventory, work orders, advances and refunds for JCDecaux Mexico in an internal platform with Single Sign-On, approvals and audit-ready traceability.
Learn more →
Engineering
Data platform and engineering
A data platform is a factory: nobody watching the line means defects ship. Documented architecture, alerts that wake someone up, and cost nobody discovers on the invoice.
Ingestion & contracts
Connected sources with schemas and breakage alerts.
Transformation
Layered modeling with tests and documented lineage.
Observability
Freshness, volume and cost visible per source and per team.
Scale
An architecture built to grow without rebuilding everything.
Frequently asked questions
The questions we hear often
Do we start with a dashboard?
We start with the decision you need to make; the dashboard comes after.
Can you connect AI to our data?
Yes, with access control and source traceability.
Specific tools?
We choose per case: standard or open-source warehouse, ELT and BI; the decision is documented.
Do you migrate off Excel?
Yes: structure first, automate second, retire the critical spreadsheet last.
How long?
A first domain typically reaches production in 4–8 weeks.
How much does it cost?
It depends on how many sources need connecting and their quality, the volume and frequency of the data, and how many dashboards and users rely on it. We quote after a free first read.
Big data or standard architecture?
Most cases resolve with well-operated standard architecture; big data comes later.
Do you work with our data team?
Yes: we run it together, or you hand us the platform.
What about data compliance?
Retention, access and minimisation defined by design.
Related capabilities
Where to next
Auto
Automation
Repetitive processes, out. Robust flows with traceability, in.
Learn more→ AIArtificial intelligence
Applied AI for real operations: agents, RAG, vision, voice and automation.
Learn more→ SoftwareCustom software
We replace SaaS licenses with owned products your team controls.
Learn more→ WebWeb applications
Production web platforms: fast, secure and built to scale.
Learn more→
Talk to Slash
Let's put it in production
Tell us your challenge. We reply within 24 business hours with an honest first read: if we can help, we'll say how; if not, we'll say who can.
I reply personally. No endless forms, no canned replies.