Insights
Case Studies
We don't name clients or employers. Each account covers the problem, the results, and the techniques behind the work.
AI & Machine Learning Platforms
Turning billions of payment records into a new data business
How a payments processor built a defensible new data business from transaction data it already held.
Read case study →Banking & Insurance
Defining the analytics platform community banks were missing
A positioning strategy that turned a community-bank analytics leader's data assets into a new platform, plus a recommendation to pass on an acquisition priced above its worth.
Read case study →Consumer Financial Products
Predicting customer attrition early enough to act
A logistic-regression model that flags at-risk clients early, with a plain-language reason for every score.
Read case study →Consumer Financial Products
Forecasting payment-type volume and simulating what drives it
A statistical forecast paired with a system-dynamics simulator the client could run themselves.
Read case study →Consumer Marketing
Allocating a $100M TV budget, week by week
How a national consumer brand turned a $100 million television budget into weekly, market-by-market allocation decisions that lifted its return by $10 to $15 million a year.
Read case study →Banking & Insurance
Diagnosing a claims-cost spike in a warranty book
A fast diagnostic that showed a worrying claims-cost spike was concentrated and temporary, not structural, and pointed to the specific models and repair providers behind it.
Read case study →Banking & Insurance
Finding the data to launch a new bank-marketing business
A data-asset assessment for a company trying to deepen narrow banking relationships into a new analytics business, and the focused set of bank data that made one viable.
Read case study →Banking & Insurance
Deciding whether to build or buy a way into analytics
A build-versus-buy assessment that ruled out an organic build and screened the analytics market down to a shortlist, one of which the company later acquired.
Read case study →Banking & Insurance
Running the diligence behind an analytics acquisition
An acquisition diligence that moved from weighted criteria and candidate ranking to on-site visits and board-ready materials for a decision the company acted on.
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