Application Examples

Here are a few examples of the ways in which we have applied Data Mining to our clients' business problems:

Financial Services:

For a major regional bank, we analyzed a large array of consumer product offerings and key characteristics of customer households, to determine the next product(s) to sell to a given household.

For a brokerage firm, we helped maximize margin by building and comparing customer-targeting models for both online and traditional off-line trading. This allowed the brokerage to successfully tailor its online strategy to the appropriate target groups, while also maintaining consistency with the firm's overall business strategy and positioning.

Health Care:

We analyzed medical utilization data for a major health care underwriter. The results gave the client a much clearer picture of absolute profit/loss; helped drive product formulation and margin-based pricing; and provided the client with a forecasting model to assist underwriters during the contract negotiation process with both existing and prospective customers.

High Technology:

For a major supplier of computer hardware/software solutions, we built a sophisticated targeting model to predict not only which companies would be most likely to buy, but also their likely long-term value after conversion.

For a well-known online provider of content and services, we developed a mail conversion model that sharply reduced customer acquisition costs. We also developed a predictive model to facilitate preemptive outreach, thus reducing attrition of existing customers.

We helped a leading manufacturer of computers and peripherals revamp their Web site customer satisfaction measurement system. This included a complete overhaul of online survey instruments and the application of more sensitive and powerful data analytic techniques. The result was a threefold increase in survey response rates and much more actionable information.

Telecommunications:

We assisted a major supplier of DSL services with business-to-business and business-to-consumer targeting of loop-qualified prospects, and also conducted follow-up performance analyses to assist marketing and sales.

Travel:

We analyzed airline-passenger margin data to develop a segmentation model in support of loyalty-program management.

For a major cruise line, we conducted segmentation and margin analyses, leading to a revamping of outreach targeting and media deployment, and resulting in significantly improved margin performance.