1. Building the Business Case

2. Uncovering the Needs for Data Mining in your company There may be many places within your company where data mining can be used. The first step in building a business case for data mining is to find an opportunity to use it. Here are the possible locations: –Poorly executed CRM or Simple Campaign Management –Poorly matched Customer Investment to Customer Value –Inability to Transition Customers to Higher Value States

3. Defining the Business Value The most important part of the equation in creating your business case will be the definition of business value that you use or how you will measure the value of the data mining project. There are many ways to measure the value besides a profit or return on investment: –Increased Revenue –Profit –Decreased Costs –Return on Investment (ROI) –Competitive Advantage –Early Adopter

4. The Costs From the business side, the value can be varied and can be measured in a variety of different ways – some of them quantitative and factual; others harder to measure and more strategic in nature. The cost side of the equation is more straightforward and its components less likely to change from implementation to implementation –The Data ( collecting, storing, processing, cleansing, and paying for the data) –Pricing the Infrastructure (data mining software) –Pricing the Personnel (Data miner, Web Interface designer, Data Designer, Project Manager, Marketing Interface and Database Interface) –Costs to sustain –Containing Costs: Leveraging Existing Investments