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FICO® Blaze Advisor® decision rules management system maximizes control over high-volume operational decisions. Blaze Advisor provides businesses across multiple industries with a scalable solution that delivers unprecedented agility and actionability for smarter, transparent and explainable business decisions. One-click cloud deployment helps businesses rapidly operationalize decisions.
Blaze Advisor empowers business users with multiple methods for rule development, authoring and testing — including decision trees, scorecards, decision tables, graphic decision flows and customized templates. It also supports monitoring of business performance captured through user defined events, providing the building blocks for strategy orchestration and champion/challenger strategies.
Visit the FICO Decision Technology Community to download software trials, get support and talk to the experts!
Make faster, more consistent business decisions
Automation of decision processes minimizes the need for manual reviews and ensures consistency. Blaze Advisor delivers the highest decision processing speeds for any number of rules at any level of complexity. It is 300% faster than competitive engines at the highest level of complexity.
Reduce time to market
Go to market quickly with application development that is 25% faster than conventional methods, and without IT assistance. New applications are developed using a rules language that closely approximates people think about their business, reducing errors or misunderstanding.
Reduce total cost of ownership
With an easy-to-use interface, natural language business rules and open architecture, Blaze Advisor helps you reduce operational costs, including up to 80% of initial costs and 75% of maintenance costs.
FICO Blaze Advisor decision rules management system empowers businesses of all sizes make faster, smarter and explainable decisions. It is a component of the FICO® Decision Management Suite, a cost-effective and easy way for customers to evaluate, customize, deploy and scale state-of-the-art analytics and decision management solutions.
In addition to standalone deployments, FICO® Blaze Advisor® powers the rules component of the cloud-based FICO® Decision Management Suite.
Work collaboratively by sharing and reusing rules, rule sets, rule flows, object models, and other decision assets.
Intuitive Web interface that gives business users complete control of rule creation, testing and deployment and integrates with a wide range of other technologies such as WebSphere, JBOSS and WebLogic.
Uses the Rete III inference engine that benchmarks more than 300% faster than competitive engines at the highest levels of complexity.
Decision Simulator provides wizards, pre-packaged templates and reports to quickly simulate the potential business impact of new rules prior to moving them into production.
Intelligently deploy and execute rules in multiple platforms and introduce new rules without downtime, with full visibility and explainability of all decisions.
FICO® Model Translator rapidly converts SAS Programming Language into a decision service for deployment into a broad range of platforms.
Ease of integration with analytics for fast deployment of predictive models, including support for PMML mining models
Easily write, edit and test rules using an integrated development environment.
Ever wonder how African Bank transformed its decision system to launch strategies 30% faster at 25% lower cost?
World’s largest building society grows loan portfolio and profitability.
Yarra Valley Water's online portal for developers, easyAccess, helps expedite application approvals while reducing manual processes and freeing up employees to focus on more complex applications. easyAccess has been around since 1995; howe...
There are two different start dates for implementation of the new US GAAP current expected credit loss (CECL) model. SEC filers must begin complying with CECL in December 2019. All other public business entities have another year.
Client: Global bank
Challenge: The financial institution sought to alter its technology and decision systems to eliminate long and costly strategy changes. In addition, the bank needed to leverage more types of data and extract more val...