Big data: Difference between revisions

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imported>Doug Williamson
(Create the page. Source: The Treasurer March 2014 - Agenda - p6.)
 
imported>Doug Williamson
m (Minor clarifications in wording.)
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Big data technology enables this information to interrogated to produce more useful summarised and selected information and analysis.
Big data technology interrogates this previously unstructured information to produce more useful summarised and selected data and analysis.


For example, anti-fraud technology in banks, to analyse how often bank customers log into their account, where they usually log in from, and how quickly they type in their user name and password.
For example, anti-fraud technology in banks can analyse how often bank customers log into their account, where they usually log in from, and how quickly they type in their user name and password.




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[[Operational risk]]
[[Operational risk]]


[[Category:Business_and_Operational_Risk]]
[[Category:Manage_risks]]
[[Category:Managing_Risk]]
[[Category:Risk_frameworks]]
[[Category:Control_and_Reporting]]
[[Category:Compliance_and_audit]]
[[Category:Technology_and_Systems]]
[[Category:Technology]]

Revision as of 13:36, 6 March 2014

Big data refers to the large volumes of historically unstructured information held by organisations.


Big data technology interrogates this previously unstructured information to produce more useful summarised and selected data and analysis.

For example, anti-fraud technology in banks can analyse how often bank customers log into their account, where they usually log in from, and how quickly they type in their user name and password.


See also

Operational risk