FICO Xpress Optimization continues to push the limit of performance in optimization, delivering acceleration up to 5.7x in its MIP solver since 2020

Award-winning paper demonstrates the power of mathematical optimization and FICO Xpress to deliver sustainable, resilient energy solutions, solving an urgent need in South Africa

Price optimization is a data-driven process that uses prescriptive analytics, and advanced optimization software to determine the optimal pricing strategy

A data-driven optimization process expands opportunity, improves profitability, and reduces risk for communications service providers that offer device financing

To win an edge in the ultra-competitive telco marketplace, providers’ ability to harness the power of mathematical optimization and simulation is a key differentiator

FICO pulse survey finds that secondary market wants more information on transition to FICO Score 10T

Among U.S. consumers who don’t have enough credit history to generate a traditional FICO® Score, over 15 million could receive an UltraFICO® Score

A low FICO score for a consumer can have the perverse effect of preventing them from having access to a second chance through manual underwriting.

FICO-hosted panel at NAWBO’s 2022 Advocacy Days discusses how financial education impacts access to capital and business growth for small businesses.

5 key steps to winning using customer-centric loan pricing optimization

Developed by FICO in partnership with LexisNexis Risk Solutions and Equifax, FICO® Score XD 2 utilizes alternative data—data not included in the traditional credit bureau file

The data reflected in your FICO® Score can be as recent as a payment reported by your lender today.

Over the last 30 years, FICO has continued to analyze the minimum amount of credit bureau data that is necessary to deliver a reliable, predictive FICO® Score to the market.

The inclusion of telco and utility payment information dates back to the release of the very first FICO Scores in 1989.

FHFA and Fannie Mae take significant step forward in the use of alternative data