Data mining projects are often the most challenging in their initial phases. Clementine was designed to address common data mining obstacles and enable rapid, business-focused predictive modeling. The Clementine Data Mining Jumpstart—a five-day, fixed-price consulting engagement—helps companies apply a proven methodology and Clementine's process support capabilities to jumpstart data mining projects.
Collaborate with SPSS consultants to focus more than 35 years of experience with over 250,000 organizations worldwide on achieving your business goal with data mining. Apply SPSS data mining expertise to a wide range of applications, such as improving customer retention, cross-selling, or fraud detection.
One of the most critical components of a successful data mining project is a sound methodology. The CRoss-Industry Standard Process for Data Mining (CRISP-DM) is the de facto industry standard. CRISP-DM helps organizations focus their data mining efforts on solving specific business problems—making data mining a business process with measurable goals, rather than simply a technological undertaking.
Clementine supports the entire CRISP-DM process from beginning to end. SPSS data mining experts show you how to apply Clementine's process support capabilities—such as the data audit node, Clementine Application Templates, and the CRISP-DM help system—to accelerate progress toward your business goal.
Each five-day Clementine Data Mining Jumpstart is tailored to meet your requirements. For example, if you require assistance with extensive data preparation, three days may be spent preparing your data. Or, if your data is analysis-ready, the majority of the five-day jumpstart may be spent assisting you with predictive modeling.
Typical Clementine Data Mining Jumpstarts consist of the following agenda:
At the end of your five-day Clementine Data Mining Jumpstart, SPSS consultants work with you to develop a clear action plan, based on CRISP-DM, for proceeding with your data mining project. SPSS consultants are also available to provide a wide range of help with the next steps in your data mining project—from further model building to multi-channel data mining deployment.
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