Data and AI studio · Panama and Latin America
contacto@metryanalytics.com+502 3989-1833ES / EN
Data and AI studio · Panama & LATAM

Trusted data.
Decisions made clear.

We are a data and artificial intelligence studio. We design and build tailored solutions for companies in Panama and Latin America.

The challenge

Having data isn't enough. You need to be able to trust it.

How we solve it
01

Scattered sources

Data lives in systems that don't connect to each other.

Integration: a single source of truth, no duplicates.

02

Data without owners

Without owners or policies, data belongs to everyone and no one.

Governance: a Data Office with clear roles and policies.

03

Questionable quality

Incomplete, inconsistent data: nobody trusts the numbers.

Quality: metrics and systematic cleansing processes.

04

Regulatory risk

Privacy and audits without traceability.

Local and international compliance, with traceability for audits.

05

Analytics without action

Dashboards don't translate into decisions.

Analytics with impact: tools that trigger business actions.

06

AI without foundations

Jumping to AI without a trustworthy data foundation.

Well-founded AI: managed infrastructure before launching models.

How we work

Answers in weeks, not quarters.

See how we work
  1. 01

    Assessment and baseline

    We measure maturity, technology and technical debt to set the starting point.

  2. 02

    Architecture and design

    Target operating model, architecture and cases prioritized by return.

  3. 03

    Foundations engineering

    Pipelines, dimensional model and a governed semantic layer.

  4. 04

    Activation: data as a product

    Models and dashboards as products, with owners and adoption.

  5. 05

    Scale and continuous operations

    DataOps and MLOps: monitoring, continuous quality and an expanded roadmap.

About Metry

A studio, not an agency.

We gather the information your company already has, organize it and turn it into decisions. Every solution is tailored to the people who will use it, and we build it with their team until it works day to day.

Tailored

No templates, no licenses.

One team

Data, AI and business together.

Regional

Panama and Latin America.

Engineering

Real engineering, not slide decks.

Every solution is code: versioned in Git, tested and documented. What we deliver can be audited, maintained and scaled.

  • SQLData models with dbt, incremental and tested
  • PYIngestion pipelines orchestrated with Airflow
  • AIAssistants with guardrails: read-only and traceable
  • GITCode review and continuous deployment
{{ config(materialized='incremental', unique_key='id_venta_dia') }} -- Daily net sales by store and categoryselect    v.fecha,    v.id_tienda,    p.categoria,    sum(v.monto_neto)  as venta_neta,    sum(v.unidades)    as unidadesfrom {{ ref('stg_ventas') }} as vjoin {{ ref('dim_producto') }} as p using (id_producto){% if is_incremental() %}where v.fecha > (select max(fecha) from {{ this }}){% endif %}group by 1, 2, 3
SQL · 15 lines● main · reviewed
Featured case · Retail

Business questions answered instantly.

A retailer with data scattered across systems that didn't talk to each other. We built data marts by area and a tailored analytics assistant.

Analytics assistantTeams · Slack · Web
How much did we sell yesterday by store versus the same day last year?
Metry · Assistant
Yesterday's net sales beat the same day last year in 8 of 12 stores. Store 5 leads the growth.
Prior yearYesterday
select tienda, sum(venta_neta) … from ventas_diarias where es_fecha_comparable
Illustrative interface · fictional data

Do you have a data or AI challenge?

contacto@metryanalytics.comLet's talk