

As a global leader in analytics, FICO processes billions of mission-critical decisions a year, and the cost of their underlying technology is immense. They needed a cost-effective real-time database and decision engine. Infused Innovations delivered an in-depth analysis and recommendation that continues to save the company more than $13 million every year.
FICO is a preeminent analytics software company with a $10B market cap. Their predictive modeling and decision management systems power more than 25 billion customer decisions a year for businesses around the world, making the performance and efficiency of their technology stack a top priority.
The engine powering FICO's real-time decisioning was incredibly powerful but also incredibly expensive. The high cost of software licensing and the supporting infrastructure represented a significant operational expense. They needed an expert analysis to determine if a more cost-effective solution existed that could meet their long-term requirements.
Infused Innovations conducted a significant, in-depth analysis of FICO's current technology and their future needs. Our engineering and data teams performed a rigorous review of alternative database and decisioning technologies, modeling their performance and cost against FICO's specific, high stakes use case. We then delivered a clear, data-backed recommendation for a new path forward.
The results of our advisory were transformative. By acting on our recommendations, FICO was able to save more than $10 million per year on software licensing and an additional $3 million per year on infrastructure costs. This massive, $13M+ annual saving was achieved while still meeting their critical performance and response time requirements.
This engagement demonstrates the power of deep, specialized technical expertise. Our ability to analyze a complex, mission-critical system and identify a more efficient path forward delivered an immense and immediate financial impact, directly improving FICO's bottom line.
Our recommendations are saving the client over $10M in licensing and $3M in infrastructure costs every year, a massive and direct financial impact.
We conducted a significant analysis of the client's mission-critical systems and long-term requirements to identify a more cost-effective solution.
The recommended solution delivered the required performance and improved response times, ensuring that cost savings did not come at the expense of capability.