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IBM SPSS Modeler
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IBM SPSS Modeler

Overview
Synopsis

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.

Category

Predictive Analytics Software

Features

• Deploy insights into business processes
• Hands-on predictive analytics
• Full breadth of predictive analytics techniques
• Open source statistical software tools

License

Proprietary Software

Price

Contact for Pricing

Pricing

Subscription

Free Trial

Available

Users Size

Small (<50 employees), Medium (50 to 1000 employees), Enterprise (>1001 employees)

Company

IBM

What is best?

• Deploy insights into business processes
• Hands-on predictive analytics
• Full breadth of predictive analytics techniques
• Open source statistical software tools

What are the benefits?

• Range in advanced algorithms.
• Improved decision making.
• Geospatial and text analytics.
• Automated modeling
• Gained predictive accuracy.
• Range in advanced algorithms.
• Variety of working premises such as on-cloud and hybrid deployment options.

PAT Rating™ ( Beta)
Editor Rating
Aggregated User Rating
Rate Here
Ease of use
9.5
7.3
Features & Functionality
9.4
8.0
Advanced Features
9.6
8.5
Integration
9.4
8.9
Performance
9.5
8.7
Training
8.8
Customer Support
9.6
8.2
Implementation
3.8
Renew & Recommend
8.6
Bottom Line

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.

9.5
Editor Rating
7.9
Aggregated User Rating
12 ratings
You have rated this

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 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

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

 

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1 Reviews
  • Maryln
    April 10, 2017 at 10:14 am

    Uncover data patterns, gain predictive accuracy and improve decision making.

    Company size

    Medium (50 to 1000)

    User Role

    IT Support

    User Industry

    Energy

    Rating
    Ease of use8.7

    IBM SPSS Modeler – a data mining and text analytics software application from IBM. It is used to build predictive models and conduct other analytic tasks.

    Features & Functionality8.4

    Use a guided graphical interface that is easy for everyone to learn and use.

    Advanced Features8

    Integration8.9

    Use R, Python, Spark, Hadoop and other open source technologies to amplify the power of your analytics with or without code.

    Training 8.9

    Customer Support8.9

    Renew & Recommend8

    ADDITIONAL INFORMATION
    Choose from batch, real-time or streaming options to deliver predictive intelligence through embedded services, business intelligence integration or simple reporting.

Ease of use
Features & Functionality
Advanced Features
Integration
Performance
Training
Customer Support
Implementation
Renew & Recommend

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