On-Demand Webinar | October 28, 2015
Economic crime – such as fraud and corruption – continues to be a major concern for organizations of all sizes, across all regions and in every sector. Not only does it persist, it is growing in occurrence and financial impact, while threatening most business processes, eroding employee morale & integrity, tarnishing organizations’ reputation, and deterring some from expanding into high risk growth markets.
Additionally, there’s been and continues to be a major increase in the proportion of unstructured data in big data architectures. This poses security issues, for financial services and banking institutions especially, because in unstructured data (PDFs, Text Files, etc.) sensitive data such as credit card numbers, transaction amounts are not easy to track. And that’s what’s driving the imperative for data discovery to ID and classify sensitive info.
Join Marc Shichman, Vice President, Novetta Entity Analytic Services at Novetta and Scott Lee, Partner Informationist at Knowledgent. Learn how to uncover risk, fraud, and abuse by leveraging Big Data and analytics to gain a complete profile of suspicious actors and identify patterns buried in data to uncover potential risk exposure, fraudulent activity, and abusive transactions.
Join us for a candid webinar discussion where you’ll learn about:
- The impact of advanced analytics and visualization tools to help analysts provide rich contextual analysis and timely reporting across internal data and equally important external data
- How to use your data to spot potential fraudsters by connecting the dots between people, their behavior, organizations, and events – across data sources
- Enterprise controls effective in detecting economic crimes and suspicious transactions – before they happen