El Universal speeds up content delivery and decides with real-time data
El Universal, one of Mexico's most prestigious newspapers, faced challenges in delivering content quickly and reliably and in analyzing large volumes of data in real time. With Amarello it adopted BigQuery, Google Kubernetes Engine and Cloud Storage: today it scales with demand, analyzes in real time and has automated tasks that used to be manual.
- Client
- El Universal
- Sector
- Media
- Country
- Mexico
- Project
- Data platform and content delivery on Google Cloud
- Technologies
- BigQuery · Google Kubernetes Engine · Cloud Storage
In numbers
- up to40%
time saved on previously manual tasks
- 2x
conversion rate of a new product
- Subscription
new paid subscription model
- 2023 · 2024
the case published by Google Cloud cites Amarello as Services Partner of the Year
In short
In the digital era, media outlets must stay relevant and competitive in an environment where speed and quality of information are essential. El Universal demonstrated how a well-executed strategy makes the difference: it optimized the delivery of its content, improved its readers' experience and obtained tools to make data-driven decisions.
01 · The problem
Content that had to arrive faster, and data that was not analyzed in time
- 01
Fast, reliable delivery
Readers expect content instantly. The platform had to deliver it quickly and without failures, including at moments of peak demand.
- 02
Traffic peaks
During major events traffic multiplies. Scaling resources in time was a limitation.
- 03
Large volumes of data
Managing and analyzing large volumes of data in real time, to decide with information and personalize content, was not possible on the previous platform.
02 · How we solved it
BigQuery, Google Kubernetes Engine and Cloud Storage
- 1
Scalable content delivery
With Google Kubernetes Engine and Cloud Storage, the newspaper delivers its content with faster load times and dynamically scales its resources according to demand, especially at times of high traffic.
- 2
Real-time data analysis
BigQuery makes it possible to analyze large volumes of data in real time. With that information, the team makes informed editorial decisions and personalizes content for its readers.
- 3
Automation of manual tasks
Data integration and the automation of tasks previously done by hand freed up the team's time: the published case reports savings of up to 40%.
03 · The benefit for the client
More satisfied readers and a business that decides with data
Reader experience
- Faster load times and more relevant content: readers more engaged than ever.
Scalability
- Traffic peaks without problems: readers always have access to information when they need it most.
Business results
- Doubling of the conversion rate of a new product.
- Creation of a paid subscription model.
Team and culture
- Up to 40% time saved on previously manual tasks.
- A shift in organizational culture toward data-driven decisions.
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