# Data analytics & engineering in Colombia | Slash Digital Lab Source: https://slash-digital.io/en/data/ Data & automation Pipelines that survive production, solid governance and clear dashboards: the pieces that turn data into decisions, with cost in plain sight. - Goal Decisions in seconds - Scope Pipelines → dashboards - Case 3,000+ live screens Start a project See real work 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 We define the decision the data must support first, and build the dashboard after. 01 ### Governance Catalogue, quality and access: who sees what and why it's trustworthy. 02 ### Integration Secure pipelines and APIs to and from your systems. 03 ### Visualisation Dashboards leadership actually opens, on mobile and desktop. 04 ### 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 → Read more Seismic Guard · Earthquake alerts ### Earthquake warnings that reach iPhones too Flutter app for Android and iPhone: relays Android earthquake warnings and adds EMSC, SGC and USGS alerts, with native Kotlin and Swift and a Supabase backend. 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. 01 ### Ingestion & contracts Connected sources with schemas and breakage alerts. 02 ### Transformation Layered modeling with tests and documented lineage. 03 ### Observability Freshness, volume and cost visible per source and per team. 04 ### 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. **What do you need from us to start?** The decisions your team makes every day or week, the data it uses for them today and access to those sources. With each area we agree single definitions for every metric. For the free first read, two lines about your case are enough. **Who works on the project, and on what hours?** A small senior core plus specialists per project, always with a named owner, alongside your data team or in charge of the whole platform. We work from Bogotá, on UTC-5 all year, Monday to Friday, 9:00 to 18:00, in Spanish, English or French.