Testimonials

Eight organisations, each with a name and a role attached. Several of them ran a benchmark first.

By industry

Banking

In a benchmark project to identify customers at risk of migration, Prospero achieved the best scoring results.

FI Finanz InformatikNorbert Müller, Head of Customer Segmentation

Prospero with its prescriptive analytics approach achieves the best model qualities in a highly automated process.

finnova AG BankwareNikolai Tsenov, Product Manager Analytics and Compliance

Prospero achieved the best detection rates in our benchmark, minimizing fraud losses while optimizing efficiency.

PLUSCARDPetra Silsbee, Team Leader Chargeback Fraud

Prospero's solution enabled development of an optimally separating rating function, proving very reliable in application.

Risk Solution NetworkProf. Dr. Markus Heusler, CEO

Based on Prospero potential scores we achieve significantly higher contribution margin in the card business.

Sparkasse ZollernalbBirgit Schön, Marketing Private Customers

Insurance

The professional services provided by Prospero were a key factor for fast and successful implementation.

GeneraliAlbert Vendrami, Head Sales Services

Helvetia benefits from Prospero's SaaS services; we've optimized processes and focus on core business.

HelvetiaMartin Weckerle, Technical Business Partner

Life Sciences

Prospero enormously improved SAPS2 score quality (ROC AUC: 0.97624 vs. previous 0.90140).

LKH FeldkirchDr. med. Peter Faé, Head Doctor

Why several of these mention a benchmark

Detection is comparable. A bank can run two vendors over the same historical data and count what each one found and what each one raised in error. Four of the quotes above describe the result of doing exactly that, which is a more useful reference than a statement of satisfaction.

A demo can be set up the same way, against a dataset you already know the answers to.

Run your own benchmark

Bring the cases you argue about internally.

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