IBM SPSS Modeler

IBM SPSS Modeler is an analytics platform from IBM, which bring predictive intelligence to everyday business problems. The solution provides a range of advanced analytics including text analytics, entity analytics, social network analysis, automated modeling, data preparation, decision management and optimization.

SPSS Modeler offers capabilities include conducting analysis regardless of where the data is stored such as in a data warehouse, a database, Hadoop or flat file and regardless of whether it is structured such as age, price, product, location or unstructured such as text, emails, social media.

IBM SPSS Modeler is offered as three editions:

IBM SPSS Modeler Gold – Provides organizations with the ability to build and deploy predictive models directly into the business process. This is achieved with Decision Management which combines predictive analytics with rules , scoring and optimization within an organization's processes .

IBM SPSS Modeler Premium – Provides a range of advanced algorithms and capabilities including text analytics , entity analytics , social network analysis and automated modeling and preparation techniques.

IBM SPSS Modeler Professional – Provides a range of advanced algorithms, data manipulation and automated modeling and preparation techniques to build predictive models and uncover hidden patterns in structured data .

IBM Predictive Analytics

IBM SPSS Modeler Features :

• Interactive easy to use interface without the need for programming.

• Automated modeling and data preparation capabilities .

• Access all data: structured and unstructured from disparate sources

• Natural Language Processing (NLP) to extract concepts and sentiments in text.

• Entity Analytics ensures the quality of the data and results in more accurate models.

• Integration to Cognos, Netezza, InfoSphere and System Z

Algorithms :

• Auto Classifiers, Decision Trees, Logistic, SVM, Time Series, etc

• Auto Clustering, K-means, etc.

• Anomoly detection

• APRIORI, Carma, Sequence

With its client server architecture, SPSS Modeler can push the analysis back to the source for execution, which can minimize data movement and increase performance. SPSS Modeler offers analytics that range from descriptive analytics to advanced algorithms and that include automated modeling, text analytics, entity analytics, social network analysis, decision management and optimization.

Techniques included:

• Auto Classifiers, Decision Trees, Logistic, SVM, Time Series, etc

• Auto Clustering, K-means, etc.

• Anomoly detection

• APRIORI, Carma, Sequence

• Decision Trees.

• Bayesian Networks

• Decision List

• Neural Networks

• Statistical Models

• Time Series

• Self Learning Response Models

• Support Vector Models

• Nearest Neighbor Models

The intuitive SPSS Modeler interface appeals to a wide range of users from the non-technical business user to the statistician, data miner or data scientist because it enables them analyze data in a way that suits them. The short learning curve for SPSS Modeler enables novices and advanced users to begin uncovering results almost immediately.

IBM Predictive Analytics

Industrial Applications :

• Customer analytics

• Customer relationship management

• Fraud detection and prevention

• Optimizing insurance claims

• Risk management

• Manufacturing quality improvement

• Healthcare quality improvement

• Forecasting demand or sales

• Law enforcement

• Education

• Telecommunications

• Entertainment