FICO® Custom Decision Optimization
Fair Isaac® Custom Decision Optimization
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FICO® Custom Decision Optimization

FICO is the world leader at pinpointing true-optimal strategies—not just better, but best—in complex, high-volume customer decisioning. Whether you need to optimize decisions about where to offer credit line increases, how to price insurance policy renewals or personal loans, how to target marketing offers or how to best use store shelf space, we can help you pinpoint the answers that will raise your business performance to new heights.
Key Benefits
  • Take your strategies to new levels of performance 
    FICO® Custom Decision Optimization mathematically identifies the best decision strategy for meeting your objectives—such as maximizing profits or minimizing costs—given your constraints.
  • Choose the right optimal operating point for your business
    Business users can quickly explore numerous optimized scenarios. By varying objectives and constraints, they can immediately see effects on optimal operating points. Sharpened understanding of profit drivers and trade-offs enables astute decisions about what to do next.
  • Reap the gains from superior strategies sooner and longer
    Optimized strategies provide superior challengers for champion/challenger testing, reducing the need for iterative testing and enabling earlier rollouts across portfolios. Streamlined deployment into almost any operating environment also speeds realization of benefits.
Feature Highlights
  • Applies superior analytics to maximize optimization results 
    FICO optimization results reflect the superior quality of our modeling. For instance, we build highly complex, large-scale decision models that predict customer reactions to potential decisions with extreme accuracy, revealing the full extent of profit opportunities. Our optimization algorithms generate the best decision for every account in portfolios of millions without the slightest relaxation of precision (no dilution of true optimal through approximation or sampling down).
  • Employs the industry's best modeling and optimization tools
    Our custom optimization teams have extensive experience using the best tools available: FICO® Decision Optimizer and the FICO® Xpress Optimization Suite.
  • Finds optimal operating points despite less-than-ideal starting points
    Optimization teams have deep analytics and domain expertise for handling holes and biases in data and for fine-tuning models to ensure balanced tradeoffs and robust operation in challenging production environments.
  • Delivers optimization solutions as preconfigured applications you can use
    Decision models for making account- or customer-level decisions to achieve portfolio-level objectives can be delivered preconfigured into Decision Optimizer software. This tool enables business users to visualize, explore and modify potential strategies—identifying new optimal operating points as additional data and operational outcomes become available.
  • Offers Quick Start option 
    FICO analytics experts have figured out how to build simpler decision models that rapidly deliver substantial optimization benefits-and can be extended later for even more performance improvement.
  • Provides flexible engagement styles
    In addition to delivering solutions, we can help you make the business case for optimization with a Proof of Concept that quantifies the value of decision optimization on your portfolio, using your data, in just 4-8 weeks. We can also provide your in-house modeling teams with a strategy optimization framework—sharing our expertise and methodologies—that can put them 1-3 years ahead of where they are today.
  • Leverages FICO's unmatched decision optimization experience
    We have delivered more than 100 successful engagements across five continents and the customer lifecycle (pricing, initial credit line assignment, credit line extension, retention, collections).

The Co-operative Bank lifts profits from new-to-bank loans 45% in 3 years

FICO is helping the Co-operative Bank increase the profitability of first-time lending relationships while meeting several constraints, including limiting exposure and losses, and complying with regulations that restrict risk-based pricing to no more than 1/3rd of drawn-down accounts. In the initial 12 months of the project, with the optimized decision strategy applied to 50% of applications, accept and referral rates climbed 11%, the draw down rate rose 9% and revenue per application increased 22%, resulting in a 1.4 : 1 return on the bank's optimization investment.

>> Read the full story

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