Data Mining, Clementine, Predictive Modeling, Predictive Analytics, Predictive Analysis

Flexible Model Deployment

To create predictive analytics solutions that achieve business objectives, the results of advanced analysis�predictive models�must be deployed into business operations to optimize key decisions. This requires the flexibility to integrate models within existing systems and processes.

Decision optimization�the key to high returns

Clementine provides flexible model deployment options to support nearly every operating environment. Four decision optimization strategies, based on the proven CRISP-DM methodology, were developed to help deploy Clementine models and plan predictive analytics solutions for the greatest possible returns. These strategies are generalized from successful implementations using Clementine�s complete range of deployment capabilities�the widest available.

The decision optimization strategy matrix above simplifies Clementine model deployment to four generalized options.
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Deploy models using the strategy that best fits your operational focus:

Rapid-update batch—deploy models using cost-efficient, high-speed batch scoring capabilities such as Clementine batch mode and Clementine Solution Publisher to focus on updating scores quickly and easily
Extreme-volume batch—deploy models with the strategic use of coding, making coding cost trade-offs, and customized scoring engines to focus on high-speed scoring that scales to extreme data volumes
Packaged real-time—deploy models into packaged applications like PredictiveCallCenter to focus on high-speed, real-time scoring at specific customer touchpoints
Customizable real-time—deploy models into customizable applications using Web development frameworks like Cleo to focus on real-time scoring for different roles within an organization or unique business goals for which packaged applications do not exist

Generalized from the most common decision optimization goals, these four strategies are described in the context of two key deployment considerations�scoring focus and integration focus�where difficult trade-offs may have to be made. SPSS predictive analytics experts are available to help guide you through these trade-offs, review Clementine�s deployment options, and tailor strategies to fit your specific business objectives.

Managing deployed models to execute strategies

The successful execution of decision optimization strategies requires the effective management of deployed models to achieve ROI and compliance goals.

Clementine provides you with unrivaled capabilities for rapid model development and deployment to create predictive analytics solutions. SPSS Predictive Enterprise Services extends these Clementine capabilities to improve the management of predictive models and related processes within enterprise-wide business operations using a services-oriented architecture.

For more information on Clementine's flexible deployment options and decision optimization strategies, download the white paper Data Mining Deployment for High-ROI Predictive Analytics (PDF file).

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Clementine®

Flexible Model Deployment

Decision optimization�the key to high returns

Managing deployed models to execute strategies