KnowledgeSEEKER is a market-leading business intelligence software product with data mining and predictive analytics capabilities including data preparation, 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 9.0 introduces a powerful automated workflow canvas with a user friendly visual representation enabling the creation of a model workflow in minutes, providing instant documentation and eliminating the need to write code.
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 save and organize charts and graphs from all stages of the data mining process 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 are advanced Decision Trees that allow users to analyze an unlimited number of key performance indicators (KPIs) and develop, deploy and verify predictive strategies.
- 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.
|Data Import/Export||Hadoop, R, Text, Microsoft Excel®, SAS, SPSS and other database systems|
|Data Preparation||Import and connect multiple data sources: join; append; aggregate; and remove duplicates for any dataset|
|Data Profiling||Univariate statistics, variable charts, cross-tabulations, segmentation analysis and correlation analysis; Chart Library to save and organize charts for reference|
|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||Predictive strategy design and deployment using a simple, intuitive decision tree framework|
|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|
|Process Workflow||Process Map provides a visual audit trail of the analytical process workflow on a project basis|