RENTZ
Sign in
A sample of what we publish.
These are chosen to show the range. Each one comes with its dataset. Sign in to open a case. Talk to us if you want the rest of the catalogue.
LUMIPARK
Sign in
Lumipark turns raw visitor data into a puzzle where hidden patterns in behavior hold the key to smarter marketing, pricing and operations.
QUANTIS
Sign in
This case examines how Quantis is using machine learning to streamline property acquisitions and strengthen its position in real estate investment. By embedding analytics into their process, Quantis aims to gain a sharper edge over competitors.
ZENCAP
Sign in
In an increasingly competitive venture capital landscape, ZenCap is embracing a data-driven approach to investment decision-making to stay ahead. This case study explores whether machine learning can effectively predict the success or failure of startups and help sharpen portfolio strategies.
CODNA
Sign in
CoDNA transforms scattered property information into structured insights that reveal where urban co-living investments can outperform traditional rental strategies.
STRIKER
Sign in
Striker's leadership needs clarity on which on-field and off-field factors matter most when estimating the market value of professional soccer players.
TURBO
Sign in
When a race team faces the decision of competing in a major racing event, they rely heavily on a blend of statistical evaluation and mechanical analysis. This meticulous process is essential in balancing the dual priorities of safeguarding the team’s safety and upholding their reputation.
LUMO
Sign in
In this case study, we examine Lumo's strategic approach to understanding customer preferences through data consolidation, exploration and the application of descriptive statistics and data mining. The study outlines model planning and the creation of an initial report for the management of the company, leading to significant cost savings and improved revenue streams.
FOXHOMES
Sign in
This case study presents FoxHomes' optimization problem of reducing construction costs. The task requires careful planning and resource distribution to meet housing needs.
WATTCORE
Sign in
Within the evolving energy landscape, Wattcore confronts monthly consumption fluctuations. Through rigorous analysis, we spotlight key variables influencing these consumption dynamics.
MEDAVISTA
Sign in
MedaVista examines Medicare Part D data to forecast drug costs. It provides insights that streamline cost management, boost efficiency and guide better decisions in healthcare.
SPITFIRE
Sign in
Your team gets a stack of records on a legendary aircraft. Sort the mess, then say what the data reveals about the damage it takes.
Nothing matches that.
Try dropping a filter or clearing the search box.