An Enterprising Approach to Big Data and Fraud Management - Dbriefs Poll Responses
Cheaper data storage options and the exponential increase in structured and unstructured data may create unprecedented business intelligence opportunities for organizations. But could those same opportunities present perpetrators of fraud the chance to strike, and what can you do about it?
During the Transactions and Business Events Dbriefs, "An Enterprising Approach to Big Data and Fraud Management," held on October 14, 2013, Don Fancher, principal; Donna Epps, partner; and Samir Hans, principal of Deloitte Financial Advisory Services LLP discussed:
- Critical elements of an enterprise fraud risk management program, including consideration of the evolving statutory and regulatory environment, alignment with business strategy and needs, and organizational implementation tactics.
- How the industry defines big data and important advanced analytic considerations.
- Strategic deployment of an Enterprise Fraud and Misuse Management framework.
Attendees of the live webcast on October 14 responded to the following poll questions.
To which part of the organization do you belong?
Where do you believe your organization could enhance its ability to prevent or detect fraud?
What is the status of your organization's Big Data strategy?
What is your biggest concern for implementing Enterprise Fraud and Misuse Management (EFM) at your organization?
How would you describe your organization's adoption of an enterprise view of fraud management?
The statements in this report reflect our analysis of survey respondents’ responses and are not intended to reflect facts or opinions of any other entities. All survey data, charts and statistics referenced and presented, as well as the representations made and opinions expressed, unless specifically described otherwise, pertain only to the participating organizations and their responses to the Deloitte survey.
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