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Identity Relationship Management
to manage risk

Published: March 16, 2016 by Kolin Whitley


Identity management traditionally has been made up of creating rigid verification processes that are applied to any access scenario. But the market is evolving and requiring an enhanced Identity Relationship Management strategy and framework. Simply knowing who a person is at one point in time is not enough. The need exists to identify risks associated with the entire identity profile, including devices, and the context in which consumers interact with businesses, as well as to manage those risks throughout the consumer journey.

The reasoning for this evolution in identity management is threefold: size and scope, flexible credentialing and adaptable verification.

First, deploying a heavy identity and credentialing process across all access scenarios is unnecessarily costly for an organization. While stringent verification is necessary to protect highly sensitive information, it may not be cost-effective to protect less-valuable data with the same means. A user shouldn’t have to go through an extensive and, in some cases, invasive form of identity verification just to access basic information.

Second, high-friction verification processes can impede users from accessing services. Consumers do not want to consistently answer multiple, intrusive questions in order to access basic information. Similarly, asking for personal information that already may have been compromised elsewhere limits the effectiveness of the process and the perceived strength in the protection.

Finally, an inflexible verification process for all users will detract from a successful customer relationship. It is imperative to evolve your security interactions as confidence and routines are built. Otherwise, you risk severing trust and making your organization appear detached from consumer needs and preferences.

This can be used across all types of organizations — from government agencies and online retailers to financial institutions. Identity Relationship Management has three unique functions delivered across the Customer Life Cycle:

  • Identity proofing
  • Authentication
  • Identity management

Join me at Vision 2016 for a deeper analysis of Identity Relationship Management and how clients can benefit from these new capabilities to manage risk throughout the Customer Life Cycle. I look forward to seeing you there!

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Whether its new regulations and enforcement actions from the Consumer Financial Protection Bureau or emerging legislation in Congress, the public policy environment for consumer and commercial credit is dynamic and increasingly complex. If you are interested to learn more about how to navigate an increasingly choppy regulatory environment, consider joining a breakout session at Experian’s Vision 2016 Conference that I will be moderating. I’ll be joined by several experts and practitioners, including: John Bottega, Enterprise Data Management Conor French, Funding Circle Troy Dennis, TD Bank Don Taylor, President, Automated Collection Services During our session, you’ll learn about some of the most trying regulatory issues confronting the consumer and commercial credit ecosystem. Most importantly, the session will look at how to turn potential challenges into opportunities. This includes learning how to incorporate new alternative data sets into credit scoring models while still ensuring compliance with existing fair lending laws. We’ll also take a deep dive into some of the coming changes to debt collection practices as a result of the CFPB’s highly anticipated rulemaking. Finally, the panel will take a close look at the challenges of online marketplace lenders and some of the mounting regulations facing small business lenders. Learn more about Vision 2016 and how to register for the May conference.

Published: April 19, 2016 by Tony Hadley

Ensuring the quality of reported consumer credit data is a top priority for regulators, credit bureaus and consumers, and has increasingly become a frequent headline in press outlets when consumers find their data is not accurate. Think of any big financial milestone moment – securing a mortgage loan, auto loan, student loan, obtaining low-interest rate interest credit cards or even getting a job. These important transactions can all be derailed with an unfavorable and inaccurate credit report, causing consumers to hit social media, the press and regulatory entities to vent it out. Add in the laws and increased scrutiny from the Consumer Financial Protection Bureau (CFPB), and Federal Trade Commission (FTC) and it is clear data furnishers are seeking ways to manage their data in more effective ways. At Vision 2016, I am hosting a session, Achievements in data reporting accuracy – maximizing data quality across your organization, with several panel guests willing to share their journeys and learnings attached to the topic of data accuracy. Our diverse panel features leaders from varying industries: Jodi Cook, DriveTime Alissa Hess, USAA Bank Tom Danchik, Citi Julie Moroschan, Experian Each will speak to how they’ve overcome challenges to introduce a data quality program into their respective organizations, as well as best practices around assessing, monitoring and correcting credit reporting issues. One speaker will even touch on the challenging topic of securing funding for a data quality program, considering budgets are most often allocated to strategies, products and marketing directly tied to driving revenue. All lenders are advised to maintain a full 360-degree view of data reporting, from raw data submissions to the consumer credit profile. Better data input equals fewer inaccuracies, and an overarching data integrity program, can deliver  a comprehensive view that satisfies regulators, improves the customer experience and provides better insight for internal decision making. To learn more about implementing a data quality plan for your organization, check out Vision 2016.

Published: April 14, 2016 by Ashley Knight

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