Quest Technologies

``Buyers of expensive sport cars are typically young urban professionals whereas luxury sedans are bought by elderly wealthy persons.''

``10% of people with diabetes develop a treatable loss in eyesight.''

``The closing net asset value of the Harbor International mutual fund has been similar to that of Ivy International and Scudder Global Fund.''

A retailer wants to optimize purchasing and store-keeping. By applying the Similar Time Sequences technique, the retailer can find groups of products that have similar forecasted seasonal sales for next year and use this information for combining purchases and inventory replenishment.

A bank wants to assess the credit-worthiness of its customers. By analyzing the loan-history records with the classification technique, the bank gets a precise profile of high, medium, and low-risk customers.

An auto insurer wants to study lapsing and retention among their customers. By applying the Sequential Patterns technique, the insurer can understand what events lead to lapses.

A medical insurer is interested in detecting insurance fraud. By applying the associations technique, the insurer can determine if there is a ring of providers indulging in ping-ponging of patients between them.

The above is only a sampling of the many cross-industry tasks that can be enhanced by using these technologies. More than one technique can be applied to an industry and more than one industry can benefit from a technique.

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