Desktop

The desktop product offers the complete spectrum of classical statistical methods (up to SPC), data preparation processes, visualizations, and reporting.

• Import of data from a multitude of sources
• Robust handling of large data sets
• Data preparation
• Visualization
• Linear and nonlinear Models 
• Basic (descriptive) statistics
• Industrial statistics 
• Multivariate exploratory techniques
• Multivariate SPC (PLS, PCA)
• Power Analysis
• Export of data to files and databases

Analyses and data preparation can be structured, automated, and reused by using workspaces. In addition to the extensive import and export options for data and graphics, calculations from R and Python environments can be integrated seamlessly.

For a comprehensive list of features visit: TIBCO Statistica® Desktop

Data Science Author

The advanced solution for your enterprise environment. This product contains all the features of the Desktop and additionally:

• ETL (Extract, Transform, Load)
• Rules Builder to integrate business rules with analytics
• PI Connector
• Variance Estimation and Precision
• Supervised and Unsupervised Learning
• Machine Learning / Data Mining models incl. Neural Networks, Decision Trees, Support Vector Machines
• Deep Learning
• Cluster Analysis incl. k-NN, EM, Tree
• Association Rule Mining (Link Analysis)
• Weight-of-Evidence Encoding
• Connectivity to marketplaces such as Azure ML, Algorithmia and Apervita.
• Text Mining
• Process Optimization
• Code Generator to export models as PMML, Teradata, Java, Java MapReduce, C, C ++, C #, stored SQL procedure, SQL user-defined function or SAS

For a comprehensive list of features visit: TIBCO Statistica® Data Scientist

Projects & Solutions

We assist you from qualification to implementation.

• Qualification or review
• End-to-End
• Documented
• Repeatable
• Team-oriented

Know-How

We educate you and your team.

• Methodological trainings
• Software trainings
• Individual trainings
• Online, at your training facility or at ours

Technology

We introduce the right software tools in your organization.

• Selection
• Installation
• Integration into your environment
• Customization and extension
• Support

Data

Good data is the foundation for successful projects.

• Connection of internal and external data sources
• Integration and unification
• Data cleaning
• Data Preparation and Wrangling
• Feature Engineering

Analytics

Through analytics we enrich the data and generate insights.

• Data visualization
• Machine Learning & AI
• Business Rules
• Manually or automatically

Deployment

Generation and distribution of results and deployment of applications.

• Predictions
• Reports
• Dashboards
• Monitoring
• Automated actions
• Regularly, in realtime or via WebService
• On-premise or in the cloud