Data Mining Software from IBM
In the long term, corporate data mining efforts are more of a privacy risk than government data mining efforts. And here’s an off-the-shelf product from IBM:
IBM Entity Analytic Solutions (EAS) is unique identity disambiguation software that provides public sector organizations or commercial enterprises with the ability to recognize and mitigate the incidence of fraud, threat and risk. This IBM EAS offering provides insight on demand, and in context, on “who is who,” “who knows who,” and “anonymously.”
This industry-leading, patented technology enables enterprise-wide identity insight, full attribution and self-correction in real time, and scales to process hundreds of millions of entities—all while accumulating context about those identities. It is the only software in the market that provides in-context information regarding non-obvious and obvious relationships that may exist between identities and can do it anonymously to enhance privacy of information.
For most businesses and government agencies, it is important to figure out when a person is using more than one identity Package (that is, name, address, phone number, social insurance number and other such personal attributes) intentionally or unintentionally. Identity resolution software can help determine when two or more different looking identity packages are describing the same person, even if the data is inconsistent. For example, by comparing names, addresses, phone numbers, social insurance numbers and other personal information across different records, this software might reveal that three customers calling themselves Tom R., Thomas Rogers, and T. Rogers are really just the same person.
It may also be useful for organizations to know with whom such a person associates. Relationship resolution software can process resolved identity data to find out whether people have worked for some of the same companies, for example. This would be useful to an organization that tracks down terrorists, but it can also help businesses such as banks, for example, to see whether the Hope Smith who just applied for a loan is related to Rock Smith, the account holder with a sterling credit rating.