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The Lack of a Structured Prioritization Model for Allocating Risk and Fraud Budget Resources Is Hindering Many Financial Institutions in Their Fraud Mitigation Efforts

Posted on: Friday, 15 June 2007, 12:15 CDT

Research and Markets (http://www.researchandmarkets.com/reports/c59850) has announced the addition of new Javelin Strategy report Risk & Fraud Budgeting Model: Prioritizing the 2008 Budget for Effective Fraud Mitigation to their offering.

This report aids institutions in their anti-fraud prioritization efforts, providing a set of steps and recommended inputs for FIs to leverage in their respective 2008 budget prioritization models. The lack of a structured prioritization model for allocating risk and fraud budget resources is hindering many financial institutions in their fraud mitigation efforts. Utilizing robust qualitative data gathered from executive interviews and quantitative findings from the nation's most comprehensive study on identity fraud, Javelin investigates the current prioritization practices, and recommendations to eliminate problems with existing processes.

Primary Questions

- What is fraud "prioritization" and what are the benefits of a structured, fact-based budget prioritization model to brand, customer loyalty, losses and overall ROI?

- How are FIs prioritizing investments and resources to combat identity fraud?

- What are the common obstacles that executives face in the prioritization process?

- What are the components of an effective budget prioritization model?

- How can a structured model be used to make more effective and dynamic decisions?

Content Outline:

Overview

Primary Questions

Findings and Analysis

Executive Summary

Incorporating Fraud Data from the Consumer Perspective into your Model

Developing a Prioritization Model: Steps

Defining "Prioritization"

For Many FIs, Prioritization Is Disorganized, Illogical and Riddled with Obstacles

How Are Risk and Fraud Executives Setting their Budget Priorities to Fight Fraud?

Developing a Model: Breaking down the Data

Aligning Industry-Defined Fraud Categories with Consumer Data: Account Type

Aligning Industry-Defined Fraud Categories with Consumer Data: Means of Access

Aligning Industry-Defined Fraud Categories with Consumer Data: Means of Misuse

Prioritization Model: An Abbreviated Example

Table of Figures

Figure 1: Four Step Prioritization Model

Figure 3: Risk and Fraud Executives Faced with Daunting Challenges

Figure 4: Prioritization Elements that Drive ROI

Figure 5: Classifying Fraud: Industry and Consumer Data Categories

Figure 6: One-Year Fraud Incidence Rates

Figure 7: How the Criminal Obtained the Victim's Information

Figure 8: How the Criminal Perpetrated Identity Fraud

Figure 9: Ranking Your Fraud Priorities

For more information visit http://www.researchandmarkets.com/reports/c59850.

Source: Business Wire

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