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The Enabling Technologies Division of SPSS helps software companies bring predictive analytics applications to market. Predictive analysis enables your customers to achieve measurable returns on their operational and business intelligence investments. Download one of the brochures above to learn how SPSS delivers the OEM technology, expertise and brand recognition to help you grow your business with predictive analytics.
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Fraud detection and disease management are two of the most important issues facing public and private health insurers today. Download this brochure to learn how predictive analytics technologies from the SPSS Enabling Technologies Division can help you develop applications for reducing fraud and managing diseases.
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Association rules are widely used in data mining to find patterns that reveal combinations of events that occur at the same time. SPSS offers two highly accurate and efficient association rule components for use in your predictive analytics applications. Download this technical brief to learn more.
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Sequence association is used to identify combinations and sequences of events that occur over time and that lead to other events. SPSS offers the Continuous Association Rule Mining Algorithm (CARMA), which is able to find increasingly larger frequent item sets within two data passes. The CARMA sequence association algorithm also minimizes input and output costs, and time and space requirements. Download this technical brief to learn more.
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A time series is a set of observations measured at regular intervals over a period of time. Time series modeling methods assume that history repeats itself, and that by studying the past, you can make better decisions and forecasts for the future. The SPSS Time Series Component analyzes time series data using modeling techniques from the ARIMA, exponential smoothing, and Croston methods. Download the technical brief to learn more.
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Cluster analysis is used to find data that are similar and group them based on their attributes. By clustering data into groups, companies can easily see similarities within the data. The SPSS TwoStep Cluster component is a scalable cluster algorithm that helps to analyze data and group them into mutually exclusive sets. Download this technical brief to learn more.
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