Latest Customer Stories
November 15, 2021
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.
March 29, 2021
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.
February 2, 2021
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.
April 14, 2020
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.
April 13, 2020
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.