The data analysis workbench Interactive Analyzer comprises the following analysis modules:
- Value distributions, statistics and data visualization
- Bivariate data exploration
- Interactive multivariate data exploration (ad-hoc drill-down)
- Correlations analysis
- Hypothesis testing, split analysis with automatized sampling of representative control groups
- Time series analysis (trend detection, season detection) and forecast
- Line and point plots
- Neural clustering (SOM method)
- Neural classification and prediction (SOM method)
- Scenario analysis (what-if analysis) based on the SOM method
- Assoziations analysis
- Deviation detection and data inconsistency detection
- Sequential patterns analysis
- Linear regression
- Decision trees
- Naive Bayes classification
It can create the following output data formats:
- Flat files (CSV, <TAB> separated, ...)
- Database tables within arbitrary JDBC-enabled database management systems
- MS-Access databases (.mdb)
- Spreadsheets (MS-Excel, Openoffice)
- XML files
- JSON files
A 2-page product flyer on the Interactive Analyzer Workbench can be found here: