Everyone is talking about big data. But Zions Bancorp is actually doing something with it - using data to enhance fraud detection and account monitoring. Aaron Caldiero offers tips for how banks can derive maximum value from big data.
Financial institutions store lots of data. But most don't exploit or even know how to manage it. How can institutions get a handle on big data and use it to deter fraud? Zions Bank offers tips.
A data scientist is a new breed of database professional who applies scientific analysis to large data sets to identify patterns and vulnerabilities. Here are five expert tips on how to qualify for the new role.
With the increasing amount of data being collected by organizations, the role of the data scientist has emerged to aid in analysis. What's unique about the role and what job functions does it entail?
State Street Corp. scientist David Saul says most financial institutions have plenty of information, but are not doing enough to exploit the business benefits of so-called "big data."
Big data isn't about size, says Gartner's Neil MacDonald. It's much bigger: Big data is about volume, velocity, variety and complexity, and requires new approaches on how information is used to secure digital assets.
Banks have a lot of data, but how well is it integrated? How much are institutions gleaning from the data they house? State Street Corp's chief scientist says financial services could be doing more.
Do banks and credit unions use all the data they collect? One credit reporting bureau says they could be doing more with their data to track and prevent fraud.
Challenged by sophisticated threats and the complexity and cost of security, global leaders wonder: "Is my organization going to be the next breach headline?" IBM's Latha Maripuri discusses global trends.
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