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Clementine® Data Mining Jumpstart
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.
Guided by data mining best practices
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.
Flexible engagements to meet business needs
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 are 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:
- Day one—Business understanding. Clementine Data Mining
Jumpstarts begin with an understanding of your business goal and how data mining
can be applied to achieve that goal.
- Days two and three—Data understanding and preparation. A
data audit is performed to determine what data are available to help solve your
business problem and discover initial insights into the data.
- Day four—Modeling and model evaluation. SPSS consultants
help you apply various modeling techniques and assess model results against business
goals.
- Day five—Model result review and knowledge transfer. The
final day includes a review of model results and the Clementine capabilities that
are essential to your data mining objective.
A clear path to data mining success
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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