- The addition of native Python support to FICO® Xpress Insight enables Python’s 8.2 million users to empower business professionals with easy-to-use applications that can execute sophisticated analytic models.
- With FICO® Xpress Insight business users and analysts can work with any advanced analytic model in business terms to perform simulations, compare scenarios and visualize outcomes to make better informed decisions.
- Python developers can now build and operationalize Python based models all within a single framework, reducing time to deployment by orders of magnitude.
FICO, a global analytics leader, recently announced it has added native Python support to FICO® Xpress Insight. Xpress Insight enables data scientists to quickly build and deploy any advanced analytic or optimisation model as a powerful business application.
Across industries, data scientists create powerful models to solve complex business problems. Yet, according to most industry analysts, more than half of data science projects are never fully deployed. FICO Xpress Insight helps translate between the data scientist and the line of business users by taking highly complex analytic or optimisation models and turning them into simple point and click applications that help them make real business decisions.
“It’s a huge waste of time and resources when the models don’t reach the intended business users,” said Bill Waid, vice president and general manager of FICO® Decision Management Suite. “The real value of highly complex analytic models comes when they’re in the hands of the business users and become an integral part of their decision making process.”
The newest update to Xpress Insight enables the 8.2 million developers that use the popular coding language Python to rapidly build business applications that can execute sophisticated analytic models. Getting analytic applications into the hands of business users allows business leaders to make more informed decisions, perform simulations, compare scenarios and visualize outcomes.
“Python is one of the most productive tools for our digital and data science initiatives. Having Python supported in Xpress Insight helps us smoothly build end-to-end applications from data preparation, to modeling, to visualization,” said Sitao Zhang, data scientist, Supply Chain Digital and Data Science, Johnson and Johnson. “This new feature has not only made our applications more coherent during programming and development, but it also helps us deliver a more user-friendly experience to the business professionals using the applications to drive results.”
FICO® Xpress Insight is part of the FICO® Platform, a decisioning foundation critical for enterprises’ digital transformation. The platform is designed to eliminate data siloes and enable interoperability between enterprise applications. By connecting data-derived insights from disparate business units, enterprises can respond quickly to customers’ immediate needs and anticipate their future demands, resulting in deeper, more engaging customer experiences.
