KnowledgeSEEKER is a market-leading business intelligence software product with data mining and predictive analytics capabilities including data profiling, advanced data visualization, decision tree and strategy design functionality.
KnowledgeSEEKER is widely used for sales and marketing and risk analytics by business and expert users alike and can be applied at each stage of the customer lifecycle. Other application areas include health sciences and human resource management.
The flexible, powerful and easy-to-use interface allows users to quickly develop insights to advance their business objectives—unlocking actionable knowledge from their data assets. Common uses include performing segmentation and classification analysis and determining relationships between business data variables.
KnowledgeSEEKER delivers improved Return on Investment (ROI) with unique capabilities:
- Ease of Use and Short Learning Curve –The graphical user interface (GUI) is intuitive and flexible, resulting in productivity gains and time savings for both business and expert users. You can easily export any view to Microsoft Office® applications to enable quick and effective communication of analytical results.
- Decision Trees – Market-leading innovation is possible through interactive and intuitive decision trees.
- Strategy Trees – Strategy Trees provide a unique and intuitive decision support tool that helps users create and monitor Key Performance Indicators (KPIs). You can develop and compare strategies with multiple target variables.
- Ease of Integration – Data import and export capabilities and automatic code generation for decision trees facilitate integration with existing database and analytics environments and rules engines.
| KnowledgeSEEKER | Feature Highlights |
| Data Import/Export | Text, Microsoft Excel®, SAS, SPSS and other database systems |
| Data Profiling | Univariate statistics, variable charts, cross-tabulations, segmentation analysis and correlation analysis |
| Data Transformation | Creation of new variables using SQL expressions |
| Data Partitioning and Sampling | Support for both random and stratified sampling |
| Decision Trees | Interactive decision trees with the choice of 4 different algorithms |
| Strategy Trees | Strategy design based on the decision tree GUI |
| Model Evaluation | Model performance and sensitivity evaluation, comparative model evaluation with cumulative lift and many others |
| Model Deployment | Both direct deployment and automatic generation of SAS, SQL, SPSS, PMML and Java code for decision trees and strategy trees |