The functions and features of data science and machine learning platforms are evolving quickly to keep pace with a highly innovative space. This research helps data and analytics leaders to evaluate 16 of these platforms across 15 critical capabilities.
What You Need to Know
- Critical Capabilities Use-Case Graphics
- TIBCO Software
- Product/Service Class Definition
- Critical Capabilities Definition
- Data Access
- Data Preparation
- Data Exploration and Visualization
- Augmentation (Automation)
- User Interface
- Machine Learning
- Other Advanced Analytics
- Flexibility and Openness
- Performance and Scalability
- Platform and Project Management
- Model Management
- Precanned Solutions
- Use Cases
- Business Exploration
- Advanced Prototyping
- Production Refinement
- Augmented Data Science and Machine Learning
- Vendors Added and Dropped
- Exclusion Criteria
- Critical Capabilities Rating
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