Overview

The key to improved business outcomes is insight into what decisions are driving them. As an investor in FICO solutions, your organization already values agile responsiveness for its decision framework. But in order to maximize results across all dimensions—including profitability, regulatory requirements, and customer engagement—you must also understand the decision road-map you currently follow. Only with explainable decisions will you be able to identify alternative approaches, project an accurate range of consequences, and deliver potentially game-changing results.

Please join this webinar as we discuss:

  • How business users can define a strategic objective through a series of micro-interactions, and—in doing so—enable decision logic that collectively steers you toward the desired outcome
  • How explainable decisions are transforming the entire customer engagement—from originations and fraud, to marketing and revenue management
  • How you can immediately start applying a 5-step approach on your journey to explainable decisions by simply leveraging the ones you’re already making

Presenters: 
Todd Rollin, Director, Product Marketing
Fernando Donati Jorge, Senior Director Product Management

For Industries: 
Banking
Overview

New auto loan customers represent a tremendous opportunity. For banks, they represent an opportunity to establish new, multi-product relationships. For captive auto finance companies, they represent an opportunity to establish and/or strengthen that consumer’s affinity for their brand. But capitalizing on this opportunity requires a sophisticated, analytically-driven approach to communicating with new customers in order to establish profitable, long-term relationships. This webinar shares best practices in using automated communications throughout the auto finance customer lifecycle.

For Industries: 
Banking
Overview
At FICO, we know from experience that analytically-driven adjustments to the ways issuers acquire, approve and manage credit cards can have a profound impact on issuers’ bottom lines.
 
This webinar discusses the typical onboarding and account management lifecycle strategies for credit cards and identifies the key points of opportunity where improved technology and advanced analytics can drive significant lift in your decision value:
  • Determining the most profitable offer within risk and regulatory requirements
  • Streamlining the onboarding process with automated, omni-channel communication
  • Adjusting the customer’s account to stay ahead of risk and loss
  • Engaging with customers in good standing to keep your card in front of wallet
For Industries: 
Banking
Overview

Most collections professionals can predict, at a high-level, what their group’s future performance will be. The challenge is when you drill down into the details—which customers will respond to which treatments? Through which channels? At what times? Next month? Next quarter? Next year? To accurately answer these questions, even the most experienced professionals need to move beyond educated guesses. In this webinar, we provide an overview of the critical role that predictive analytics plays in the profit contributions, operational efficiencies, and customer satisfaction levels achieved by the best collections groups.

For Industries: 
Banking
Overview

Are you trying to grow your small business portfolio? Are you already pulling bureau data? Do you have manual application processing?  Small business scoring can be more predictive of risk than bureau data alone. It can also be implemented quickly and profitably to start growing your portfolio—without giving up anything in risk management and regulatory compliance.

This webinar discusses how small business scoring is incorporated into your origination process and additionally:

  • Score more applications and properly segment “goods” from “bads”
  • How to leverage cloud-based services
  • How to derive power from the data “pool”
  • How to achieve greater transparency
  • Success Stories – Community Bank, Equipment Lessor, Credit Union

Presenter:
David K. Smith, Senior Consultant

For Industries: 
Banking
Overview

In June 2016, the Financial Accounting Standards Board (FASB) issued new standards that change how financial institutions account for expected credit losses. Beginning December 15, 2019, most organizations will have to comply with these new standards. Doing so will require a substantial shift, not just for accountants, but for those in line-of-business, risk, collections, and modeling teams within the US auto finance industry. This webinar shares insights on strategies to prepare for the deadline, demonstrate compliance and drive business performance improvements that contribute to higher levels of return on risk-adjusted assets moving forward.

Overview

The proliferation of data and ongoing innovation in technologies are changing the way businesses make decisions; decisions that impact their customers, their go-to-market strategies, and their bottom line. For businesses, the infinitely wide stream of information and the tools to collect and store this data in real time is changing the way we make decisions about and for our customers. 

Having access to an ocean of data does not automatically lead to better decision-making. Organizations who aren’t harnessing cutting-edge decision science (in addition to data science) find themselves drowning in data. As a matter of fact, determining what to do with the insights – integrating analytics in business process – isn’t part of those investments. Even those in the vanguard who are investing in tools and technologies including advanced analytics, machine learning, artificial intelligence and data digitalization might have no clear path to seeing an ROI.

If you have a stake in how your organization makes choices now and in the future, you’ll want to join us for this webinar, brought to you by the decision industry standard-bearers: FICO.

We’ll talk about:

  • The rise and long-term trends of Analytics, AI and Machine Learning, what it means and how to leverage analytics to beat your competition
  • How a decision management mindset can transform organizations that are investing in advanced analytics to deliver real business impact
  • Organizations who are investing in prescriptive analytics and decision management capabilities—and seeing real results

Presenter:
Benjamin Baer, Senior Director, Product Management, FICO

For Industries: 
Banking
Overview

The auto finance industry faces enormous pressure to ramp up its digital presence to appeal to today’s modern auto buyers – a consumer group that is increasingly unwilling to spend time at dealerships awaiting financing. Instead, buyers are spending their time online selecting both a vehicle and financing that suit their needs. As these transactions become faceless, there is a new paradigm in auto financing. With this innovation comes new opportunities for fraudsters all too adept at identity-based fraud, including identity theft and synthetic identity fraud. This webinar focuses on strategies to help auto lenders stay ahead of fraudsters.

Overview

The banking industry has experienced many changes since the Great Recession. Despite these changes, however, many things have remained the same. For example, interest rates have barely moved, credit card payments are frequently delinquent, and lending institutions are not optimizing auto loans and other loan offers.

For banks to increase the precision and timeliness of mortgage or deposit pricing, efficiently collect debt in a compliant manner, and to make the most effective loan offer, banks can use prescriptive analytics.

Presenters:
Matt Stanley, Global Segment Leader for Custom Analytics and Applied Optimization at FICO
Nitin Gupta, Global Head for Financial Services Partners at Amazon Web Services

Overview

Some debt collection organizations are using scores or other predictive analytics to harness insights from their debtors’ behavior and improve collection performance. But the true potential of analytics remains untapped for most organizations. In this webinar, we discuss strategies to significantly increase the return-on-investment that you can get from your analytic investments.

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