Spotfire Statistica® Enablement Hub

  Welcome

WHAT IS SPOTFIRE STATISTICA®?

Spotfire Statistica® allows expanding data science deployments across the organization by providing flexible authoring and deployment capabilities.

Spotfire Statistica® enables data scientists to create innovative solutions using the latest machine learning techniques and open-source developments. Create ML pipelines using a point-and-click UI or code. Orchestrate analytics using the tools, languages, and frameworks of your choice. Then deploy, manage, and govern models across core and distributed data environments to deliver insights you can trust and act on with confidence.

Customers can purchase add-ons for a metadata store, job server, versioning/approval, monitoring & alerting server, live scoring, manual data entry & analytics, and interactive dashboards. 

The Spotfire Statistica® Enablement Hub is designed to get you skilled up quickly and easily, no matter your level of experience.

  Quickstart

These videos and blogs are designed for users with 0 hours of experience with Spotfire Statistica®. Learning by doing is the best way to retain knowledge.

• First Workspace in Spotfire Statistica (7:38)
• Statistica Workspace - a graphical UI
• Getting Started: Navigating the Statistica User Interface

  Fundamentals

These videos and blogs are designed to be task-specific, so watch the videos or read the blogs that pertain to your needs.

  Additional Resources

• Access more detailed documentation on the Spotfire product documentation site.
• Data Science Textbook
• Spotfire Statistica® Glossary
• Professional Training
• Deep. Learning with Statistica®
• What's new in Spotfire Statistica®
• Analytics with Spotfire Statistica®
• Getting Started with Spotfire Statistica®
• Accelerate work with our templates from the Exchange, see Classification Modelling Template and Data Preparation Quick Start.

Core Capabilities

Data Access and Data Wrangling

Analytics

Visualizations

Operationalize

Overview of Analytic Solutions

Businesses are under pressure from many different directions. They need to be agile and quickly respond to changing market conditions. They need controlled processes which create quality products. They need quick insight into their present and their potential future. This is why many companies link their business processes to analytics. They aggregate and visualize their data. There are different phrases used to describe this; advanced analytics, business intelligence, industrial statistics, predictive analytics, business analytics, machine learning, quality control, etc.

• Churn Analysis
• Credit Scoring, Scorecard, Risk Management
• Customer Segmentation
• Demand Forecasting
• Fraud Detection
• Microsoft Azure Machine Learning integration
• Pharmaceutical Compliance
• Stability and Shelf Life Analysis