Leading visual data science and machine-learning solution
SPSS Modeler is the graphical Data Science and Predictive Analytics platform for users with all skill levels to develop and deploy Analytics at scale to improve business outcomes. It provides predictive Analytics to uncover data patterns, gain predictive accuracy and improve decision making.
From drag-and-drop data exploration to machine learning
SPSS Modeler is a leading visual data science and machine-learning solution. Organizations worldwide rely on SPSS Modeler for data preparation and discovery, predictive analytics, model management and deployment, and machine learning to monetize data assets. It’s suited for hybrid environments that need to meet robust governance and security requirements. Available stand-alone or as part of IBM Watson® Studio, SPSS Modeler helps you:
- Take advantage of open source-based innovation, including R or Python.
- Empower data scientists of all skills — programmatic and visual.
- Exploit a hybrid approach — on premises and public or private cloud.
Key Features
- Support for many data sources: Read data form flat files, spreadsheets, major relational DBs and Hadoop.
- Automated modeling and data preparation: Transform data into best format, identify fixes required and derive new attributes.
- Automated data preparation: Automatically transform data into best format for most accurate predictive modeling.
- Statistical analysis and visualization: Leverage data collection, analysis, reporting, and deployment.
- Predictive modeling and machine learning: Use powerful model-building, evaluation, and automation capabilities including text analytics, geospatial analytics, and a wide range of machine learning algorithms.
- Decision management and deployment: Activate your analytics with advanced model management and analytic decision management on prem, on cloud or as hybrid.
- Big data analytics: Analyze big data to gain predictive insights and build effective business strategies.
- Support for open source technologies: Enables use of R, Python, Spark and Hadoop to amplify the power of analytics.
Additional Resources
Why IBM SPSS Modeler?
- Go live in days, not months and weeks. Start with GUI-based data science and machine learning algorithms.
- Boost data science team productivity. Empower coders, non-coders and analysts.
- Scale with peace of mind. Start small and expand with enterprise class security and governance.
To learn more about what IBM SPSS Modeler can do for your company
