Ten years ago, Teradata, a division of NCR Corporation pioneered the field of data mining by looking at sales data from a retailer and discovering that in the evening hours, beer and diapers are often purchased together. Today, Teradata's data mining lab helps companies in many industries tap (data mining affinity) into their business data to take on more pressing issues.
In recognition of the tenth anniversary of the beer and diapers legend, Teradata's data mining experts have compiled their favorite Teradata data mining legends- in-the-making:
A European healthcare provider used data mining to discover that one patient was filling prescriptions at such a rate that he would have died from the dosage. When they investigated,they found the patient was feeding the pills to his ailing horse.
A financial institution used data mining to discover that credit applicants who used pencil on the form were much more likely to default than those who filled out the application using ink.
Australia's national social services agency CentreLink, uses data mining to identify welfare cheats and identity theft. They've prosecuted 144 identity frauds in the past year, saving $3 million. The agency estimates it saves millions every year avoiding fraudulent welfare claims and overpayments.
The U.S. Labor Department's Mine Safety and Health Administration mines their mine data. After consolidating multiple, disparate systems, the department is able to look at all their data including inspection records, safety violations and miners' training and certifications. Now that requests for information are nearly instantaneous rather than passing through several channels the organization has seen improvements in safety and productivity.
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