May 6, 2021
Good Risk vs Bad Risk: Deconstructing the Features of 1000 German Loans
Attempting to discover the most influential features of a loan application when considering risk, our team built a model using the features of a loan application to predict whether an applicant would have a good or bad risk rating.
April 26, 2021
Jake's Project: Investigating the Data Behind a Good Day
Andy and María meet with Jake to talk about a dataset he's building about himself. From skating to people he sees to whether he flosses or not - Jake's data offers a unique and deeply personal insight into his life. But what makes the difference between good and bad days?
April 16, 2021
Simple Solutions to Prevent Customer Churn
Our team analyzed 7043 current and former customers of a telecoms provider in order to better understand what types of people are most likely to cancel their contracts.
April 7, 2021
How Data Can Help You Keep Your Workers
To showcase how a company could reduce employee turnover, our team clustered a dataset containing information about IBM employees to discover the reasons why employees left their jobs.
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.
March 24, 2021
The Moneyball Method: Using Data to Build a Football Dream Team (On a Budget)
Our team set out to build an exceptional football team for less than 100M Euros. Using data provided in the FIFA 2020/2021 dataset - the video game - we built a prediction model in order to find the key performance attributes for each position. Then, we used this to pick out a team of excellent but undervalued players.
March 1, 2021
Using Customer Data and RFM Analysis to Create Relevant Ad Campaigns
Drafting in a dataset containing information about purchases made over 4 years by 1590 customers on an online superstore, our team wanted to demonstrate the usefulness of RFM analysis.
February 9, 2021
Patriotism, Animals, Comedy and Sex: Clustering 233 Superbowl Ads
We built a model clustering 233 Superbowl ads using data from FiveThirtyEight in order to work out what content brands use to sell their products during America's most-watched sporting event.
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.
January 12, 2021
Finding the 'Perfect' Sales Candidate Using Clustering and Prediction: Graphext and "The Sales Acceleration Formula"
Exploring how Graphext's data-driven approach might be used to identify the characteristics of successful salespeople.
January 4, 2021
How We Created a Pandemic-Resistant Team Building Session
Motivated by the prospect of getting to know our new colleagues, our design team created a team-building session that negotiated the limitations brought by the pandemic.
December 29, 2020
The Evolution of American Protests After the Death of George Floyd: COVID-19, BLM and the Election
2020 has been a turbulent year for every country but particularly in the USA. We clustered American protest events between May 24 - Nov 28, 2020 to investigate the relationships between types of protests, their violence and their geography.