Solving the Evolving Fraud Problem Through Fusion
- Date:September 24, 2019
- Kyle Marchini
- Sean Sposito
- Report Details: 21 pages, 11 graphics
- Research Topic(s):
- Fraud & Security
- PAID CONTENT
This original report, sponsored by Booz Allen Hamilton, outlines the specific motivations, frameworks, and technologies used by collaborative fraud and security teams inside financial institutions, merchants, and payment service providers.
This research report was independently produced by Javelin Strategy & Research. Javelin Strategy & Research maintains complete independence in its data collection, findings, and analysis.
This report is based primarily on information collected in two types of surveys:
- The first involved panels of 10,768 consumers conducted from June to July 2017 and 2,000 consumers conducted in August 2018. The margin of sampling error was ± 0.94% at the 95% confidence level, and ± 2.19% at the 95% confidence level, respectively.
- The second was collected from a random-sample panel of 800 information technology security decision-makers, 200 of whom work in financial services. For questions answered by all 800 survey respondents, the maximum margin of sampling error is ±3.46 percentage points at the 95% confidence level. For questions answered by all 200 financial services respondents, the maximum margin of sampling error is ±6.93 percentage points at the 95% confidence level. The maximum margin of sampling error is higher for questions answered by segments of respondents.
Javelin also conducted a series of interviews involving industry executives, vendor executives, and other relevant stakeholders to gain an understanding of the topic.
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