---
title: La Nación Case Study: Data Team and Live Dashboard
description: A senior Python developer on La Nación's data team, plus a custom dashboard that shows the news site's key metrics on office videowalls in real time.
---

# La Nación: Data Team and Live Dashboard

We added a senior Python developer to La Nación's data team and built a dashboard that puts the news site's key metrics on the office videowalls in real time.

- **Client**: [La Nación](https://www.lanacion.com.ar/)
- **Industries**: [Media and entertainment](https://www.tupaca.com/en/industries/media-entertainment)
- **Services**: Staff Augmentation, Business systems

## Data architecture

- **Timeline**: 2020 – 2021
- **Team**: A senior Python developer
- **Technologies used in this project**: [Python](https://www.tupaca.com/en/technologies/python), Django, Pandas, BigQuery, Google Analytics, Matillion ETL

> We added a senior Python developer to La Nación's data engineering team

### The challenge

La Nación was building its data engineering team and needed technically strong talent, fast.

### Our solution

- A senior Python developer, full-time on the data team
- Data tools and analysis that connect data sources with business needs
- Scrum and Kanban workflows
- Guidance on the best way to roll out new technology tools

### The result

- A data engineering team strengthened with a senior Python developer from the start
- Data from multiple sources integrated and ready for business analysis
- Decisions on technology tools backed by hands-on technical experience
- Steady delivery within an agile way of working

### Key figures

- 1 — senior Python developer, full-time
- 5+ — tools across the data stack
- 2 — agile frameworks: Scrum and Kanban

### Adding value from day one

Building a data team takes time. Bringing in a senior developer with Python, BigQuery and ETL experience let La Nación keep its projects moving while it built out its own team.

## Real-time metrics dashboard

- **Timeline**: 2019
- **Team**: Two full-stack developers
- **Technologies used in this project**: [React](https://www.tupaca.com/en/technologies/react), [Node.js](https://www.tupaca.com/en/technologies/node), [Python](https://www.tupaca.com/en/technologies/python), BigQuery

> La Nación's key metrics, in real time and in plain view of the whole team

### The challenge

La Nación wanted its news site's most important metrics on screen in real time, so that across its offices the numbers were always available, up to date and in plain view.

### Our solution

We designed and built a custom dashboard, made for videowalls, with:

- Sessions with stakeholders and key users to understand the need and shape the solution
- A UI built to be read at a glance on a videowall
- Data pulled from multiple sources: databases, files and APIs
- Google Cloud BigQuery integration
- Real-time updates, with jobs running every few seconds
- Query optimization for faster response times

### The result

- The site's key metrics, always on display across the offices
- Data from different sources, brought together on a single board
- Real-time data, with no manual updates
- Fast responses, thanks to optimized queries

### Key figures

- 10+ — real-time metrics
- 0 — manual updates
- 3 — types of data sources: databases, files and APIs

### Designed to be read from across the room

A dashboard on a videowall isn't read like one on a laptop: people take it in from a distance, in a few seconds. So we put visual hierarchy, big numbers and simple comparisons first, making every metric clear at a glance.

## What La Nación says

> Tupaca helped us quickly bring in strong talent with exactly the right technical skills at a pivotal moment, while we were building La Nación's data engineering team. From day one they showed a deep understanding of what we needed, which gave our team a solid foundation to succeed.
>
> — Gonzalo Leon, Head of Data Architecture, La Nación

More success stories: https://www.tupaca.com/en/success-stories

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