In this step, the data analyst outlines the resources, from personnel to software, that are available to accomplish the data mining project. Particularly important is discovering what data is available to meet the primary business goal. At this point, the data analyst also should list the assumptions made in the project assumptions such as, “To address the business question, a mini- mum number of customers over age 50 is necessary.” The data analyst also should list the project risks, list potential solutions to those risks, create a glossary of business and data mining terms, and construct a cost-benefit analysis for the project.