Overview

We live and work in a world increasingly defined by data, analytics and digital platforms. Companies aggressively invest in these technologies knowing they are critical to better performance and competitive advantage. Yet many companies struggle to achieve consistently positive results from their data and analytics initiatives. According to Forrester Research, 73% of enterprise architects aspire to help their firms be data-driven enterprises, but only 29% say they are good at translating analytics into action.

Overview

To prevent financial crime and terrorist financing, organizations of all types have joined the global fight to stop criminals from realizing the financial benefits of their crimes. Compliance with regulatory obligations for anti-money laundering (AML) and terrorist financing is not easy; it is difficult to stay ahead of changing regulations and deploy appropriate know your customer (KYC) and AML processes across multiple countries. The FICO® TONBELLER® Siron® suite offers flexible and configurable modules and brings advanced analytics and artificial intelligence to AML compliance. This helps you to manage the end-to-end AML process and identify, prioritize and manage cases appropriately.

For Industries: 
Banking
Overview

Supercharge your deposit pricing with five key capabilities

Even as interest rates increase, there’s more to deposit pricing than customer price sensitivity. Deposit behaviors are more sophisticated to analyze than many businesses think, while pricing solutions need to be examined under longer time period than are usually allocated. Taking deposit pricing to the next level requires a more thoughtful approach, leveraging the latest in analytic and technological innovations.
 
In this white paper, FICO Deposit Practice Leader Ashwin Gurnani shares five ways that deposit teams can ramp up their deposit pricing capabilities, including:

  • Re-engineering your data and modeling strategy to support your entire deposit portfolio
  • Implementing a technology-based forecasting and what-if tool
  • Using optimization to help account for your customer/business constraints and objectives
For Industries: 
Capital Markets, Banking, Agencies, Insurance
Overview

Artificial intelligence (AI) and machine learning are big buzzwords at present — there doesn’t seem to be a business problem where they are not being applied. Now AI has come to the world of anti–money laundering compliance.

More firms are boasting about the AI capabilities of their software, but quite often we’re left thinking, “So what?” It all sounds very clever but how does it solve our very real business issues?

To help you understand how AI could ease your AML headaches, we’ve brought together three of our experts to shine a light on this important but often confusing subject.

Overview

Ask any consumer why they prefer and remain loyal to a particular brand or company and, not surprisingly, two primary reasons most often surface: Customers like companies that offer choices in products and services, so they can make acquisitions suited to their individual tastes and needs; additionally, customers are quick to remember their experience in dealing with a company, good or bad. Still, these responses don’t fully explain a consumer’s loyalty to one company over another—after all, many businesses offer a variety of choice, and all strive to provide superlative customer experience. What consumers usually don’t see (nor need to see) is how some businesses—the ones they prefer—apply technology to surpass others in solving for what is referred to as “business complexity.”

For Industries: 
Banking
Overview

Credit scoring provides a single number representing the likelihood an applicant will become seriously delinquent. Having this single number improves origination efficiency since you can rank-order applicants by risk level and set cutoffs to take certain actions when scores fall above or below them. A small business scorecard predicts the creditworthiness of the business in the same way a consumer scorecard predicts it for the business principal. Having this additional meaningful number—from analysis of both business and consumer data— sharpens separation of good and bad credit risk. Scores also improve decision fairness—and make it easy to prove.

For Industries: 
Banking
Overview

Decision acceleration is about using technology to assess risk and process credit applications faster. An origination system does this by following your policy rules to make automated approve, decline or send-for-review decisions. It examines applicant data and scores, then takes the actions you want it to take based on your criteria and cutoffs. This enables you to grow volume by auto-decisioning more small business applications, while providing your small business experts with the information they need for applications requiring their attention.

For Industries: 
Banking
Overview

Background: The National Consumer Assistance Plan (NCAP) is a comprehensive series of initiatives intended to evaluate the accuracy of credit reports, the process of dealing with credit information and consumer transparency. As part of NCAP, the consumer reporting agencies (CRAs) — Experian®, Equifax® and TransUnion® — are changing the data standards and service level requirements of the public record data they maintain.

Overview

Businesses across many industries spend millions of dollars employing advanced analytics to manage and improve their supply chains. Organizations look to analytics to help with sourcing raw materials more efficiently, improving manufacturing productivity, optimizing inventory, minimizing distribution cost and other related objectives. But the results can be less than satisfactory. It often takes too long to source the data, build the models and deliver the analyticsbased solutions to the multitude of decision-makers in an organization. Sometimes key steps in the process are omitted completely. In other words, the solution for improving the supply chain, i.e., advanced analytics, suffers from the same problems that it aims to solve.

For Industries: 
Banking
Overview

Are you prepared for IFRS 9? This major accounting standard change has had the attention of major banks for several years but is an equally high priority for auto finance providers as well.

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