Spotfire 12 Webinar Series: Introduction
Built-in Data Science
Out-of-the-box linked views, one-click predictions, and proactive data profiles make getting started with advanced and predictive analytics easy—for classification, clustering, forecasting, and more. Visualize data and results in interactive dashboards, and use deeper data science and custom calculations on the TIBCO Data Science Platform or use Spotfire Data Functions and R, Python, SAS, or Matlab code.
Analytics Apps Extend Expertise
Easily build and deploy intuitive business applications with built-in predictive analytics. Out-of-the-box APIs, connectivity to any data, custom visualizations and computations, and statistical methods can drive action across multiple systems. Add custom predictive models and visualizations and get real-time results. Creating production predictive apps is built-in; For other products, it’s out of reach.
One-click Statistics and Relationships
Easy contextual calculations are powerful: descriptive stats, similarity, clustering, correlations, fitting, forecasts, box plots, and more. Find associations between columns with the Data Relationships Tool. Use statistical methods for continuous, categorical variables like linear regression, ANOVA, Chi-square, and others. Model diagnostic plots automatically or create your own visual model diagnostics.
Unique Data Science Language Integration
Data Functions runs custom predictive models, and TIBCO® Enterprise Runtime for R (TERR) runs inside any analysis. Train and deploy models with TERR or Python, and use popular advanced analytics packages and databases. Integrate multiple tables, columns, and values with point-and-click for visualizations not possible with other products.
Machine Learning Algorithmic Models
Spotfire predictive analytics provides easy access to machine learning (ML) algorithms that train on data to evolve models that can identify complex patterns and make highly accurate predictions. Depend on Spotfire to solve complex use cases: root-cause analysis, production surveillance and optimization, micro-segmentation, personalization, customer retention, asset valuation, anomaly and fraud detection, and much more.
Advanced, Intelligent Data Visualization
With AI and ML, develop insights without knowing where to look and spot patterns, trends, and outliers. Use line-chart forecasting, box plots, data relationships, clustering, modeling, calculated columns, and expressions for custom visualizations—and controllable, optionally automated marking, filtering, and brush-linking across tables, mashups, and joins—and drill up, down, and sideways.