Case studies that come with the data.
Each one starts with a company that has a decision to make. You get the brief and the dataset behind it. Working out what the numbers will support is the assignment.
The brief does not name a method. The recommendation has to be argued from the data and defended the way it would be in the room.
Who buys them.
Every case is the same underneath. A brief, a dataset and a download prepared for whoever bought it. What changes is the room it gets used in.
Three levels, one standard.
The levels differ in the decision each case asks for. None of them does the thinking for you.
Degree programs, onboarding, a first analytics role
One dataset and a question with a clear shape. The work is reading it honestly and saying what it will support.
Working analysts and data scientists, capstones, take-homes
Modeling, classification and forecasting where the method is yours to pick. The brief leaves it open and expects the choice to be defended.
Managers, directors and executive education
A decision under uncertainty with real money behind it. The analysis has to carry a judgment call and stand up to a hard question.
A few to start with.
Finance, operations, logistics, manufacturing, healthcare and machine learning. Every case carries the dataset it was written from.
Lumipark turns raw visitor data into a puzzle where hidden patterns in behavior hold the key to smarter marketing, pricing and operations.
CoDNA transforms scattered property information into structured insights that reveal where urban co-living investments can outperform traditional rental strategies.
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.
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.
This case study presents FoxHomes' optimization problem of reducing construction costs. The task requires careful planning and resource distribution to meet housing needs.
We write new ones on your data.
Three briefs below show the range at each level. Yours would run on figures you already have. Same structure and the same level of finish.
Which store formats deserve next year’s capital?
Store-level sales for one fiscal year across four formats. Descriptive work, a ranked recommendation and a note on what the data cannot settle.
Example brief
A regional bank’s churn cohort just changed shape. Why?
Account histories across 36 months. Cohort analysis, a classifier and a threshold the risk committee can defend.
Example brief
Which plant takes the volume if the forecast is wrong?
Capacity, lead times and a forecast with known error. A decision memo that names the downside and commits anyway.
Example brief
United States, Canada and Europe. Southeast Asia opens in 2026.
We work with partner institutions and training organizations in four regions. Ask about a region that is not listed here.
- USUnited States
- CACanada
- EUEurope
- SEASoutheast Asia2026
Partners
- MindFuel
- Readio
- Partner with us
Writing
Occasional pieces on analysis, hiring and the way teams work.
Buy one. Or bring the whole group.
One case takes a couple of minutes to buy and download. For a cohort, a department or a whole program we handle the licensing and prepare a download for every account. There is a person on the other end either way.