🍪 Would you care for a cookie?

We use our own and third-party cookies to analyze our services according to profiling based on your browsing habits. You can learn more and set up your preferences here.

PreferencesAccept Cookies
Accept CookiesPreferences

🍪 Would you care for a cookie?

We use our own and third-party cookies to analyze our services according to profiling based on your browsing habits. You can learn more and set up your preferences here.

PreferencesAccept Cookies
Accept CookiesPreferences

Featured

April 21, 2024
Customer Stories

How Aquaservice Use Graphext To Improve Their Prediction Models

We spoke to the data science team at Aquaservice about how they used Graphext to build a clustering model to improve the way they forecast consumer demand. Their project grouped delivery routes using over 30 factors to calculate similarity and exposed patterns in the errors made by their prediction models. Models that are responsible for forecasting the number of water bottles that should be loaded into trucks for delivery across a huge number of routes across Spain.

Victoriano Izquierdo
Victoriano Izquierdo
Customer Stories
Our InvestigationsShort StudiesCustomer StoriesData NewsEverything

Latest Customer Stories

This article explores how IDOL and Graphext empower artists in the music industry with data-driven strategies, providing tools for audience analysis, campaign performance prediction, and macro-analysis across ad formats and platforms.
February 5, 2024

Transforming Music Industry Analytics: How IDOL and Graphext Empower Artists with Data-Driven Strategies

This article explores how IDOL and Graphext empower artists in the music industry with data-driven strategies, providing tools for audience analysis, campaign performance prediction, and macro-analysis across ad formats and platforms.

Álvaro Otero
Customer Stories
Working at the intersection of data science and finance, Menhir is using Graphext to understand the composition of financial portfolios, performing analysis that typically takes analysts between two and three weeks in just two days.
September 8, 2023

Menhir & Graphext- Analyzing the Intangible Value of Financial Assets.

Working at the intersection of data science and finance, Menhir is using Graphext to understand the composition of financial portfolios, performing analysis that typically takes analysts between two and three weeks in just two days.

Andy Clarke
Customer Stories
We spoke to the data science team at Aquaservice about how they used Graphext to build a clustering model to improve the way they forecast consumer demand. Their project grouped delivery routes using over 30 factors to calculate similarity and exposed patterns in the errors made by their prediction models. Models that are responsible for forecasting the number of water bottles that should be loaded into trucks for delivery across a huge number of routes across Spain.
September 8, 2023

How Aquaservice Use Graphext To Improve Their Prediction Models

We spoke to the data science team at Aquaservice about how they used Graphext to build a clustering model to improve the way they forecast consumer demand. Their project grouped delivery routes using over 30 factors to calculate similarity and exposed patterns in the errors made by their prediction models. Models that are responsible for forecasting the number of water bottles that should be loaded into trucks for delivery across a huge number of routes across Spain.

Victoriano Izquierdo
Customer Stories
Julián Yunez, a political communications consultant, used Graphext to investigate how messages related to public health and economics have been balanced by Latin American leaders during the pandemic.
September 8, 2023

Health vs Economy: Using Twitter to Investigate How Latin American Leaders Have Responded to COVID-19

Julián Yunez, a political communications consultant, used Graphext to investigate how messages related to public health and economics have been balanced by Latin American leaders during the pandemic.

Andy Clarke
Customer Stories
Working with data from ING, we created a network visualization of how users navigate hundreds of web pages, correlating their navigation patterns with specific user profiles. 
September 8, 2023

Funnel Analysis and Network Visualisation with ING

Working with data from ING, we created a network visualization of how users navigate hundreds of web pages, correlating their navigation patterns with specific user profiles. 

Almudena Sanz
Customer Stories
Using Graphext, we helped McDonald’s to categorize their more than 500 spanish stores based on their typical customer profiles, to later analyze their sales transaction data.
September 8, 2023

Benchmarking McDonald's Store Performance

Using Graphext, we helped McDonald’s to categorize their more than 500 spanish stores based on their typical customer profiles, to later analyze their sales transaction data.

Almudena Sanz
Customer Stories
Opinion Poll Company Aquienvoto & Graphext teamed up to look behind the curtains of April 28th’s result. Join us as we analyze how people responded to 45 different questions.
September 8, 2023

Analyzing a Spanish Election Poll with Aquienvoto

Opinion Poll Company Aquienvoto & Graphext teamed up to look behind the curtains of April 28th’s result. Join us as we analyze how people responded to 45 different questions.

Victoriano Izquierdo
Customer Stories