Data analysis software with advanced modeling and Strategy Trees

Software

KnowledgeSTUDIO

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KnowledgeSTUDIO builds upon the market-leading data analysis and predictive analytics capabilities included in KnowledgeSEEKER with many advanced modeling and predictive analytics features for high-performance business users and quantitative analysts.

  • Advanced modeling capabilities include linear and logistic regression, neural networks and scorecards.

  • Unsupervised learning techniques include cluster analysis and principal component analysis.

KnowledgeSTUDIO delivers advanced business intelligence that translates into improved Return on Investment (ROI) through:

  1. Scorecards – Put the power of scorecard creation in the hands of internal staff. Whether to analyze credit risk or apply scorecard principles in non-credit risk domains, KnowledgeSTUDIO offers the ability to create predictive scorecards that span all customer-centric business processes—from acquisition to collection.

  2. Scoring – Assess and validate predictive models with an integrated set of scoring and deployment tools. Intuitive sampling and validation features include wizard-driven partitioning and hold-out options; Lift and Kolmogorov-Smirnov (K-S) charts; Relative Operating Characteristic (ROC); Goodness-of-Fit and Profit curves; Bias, Accuracy and Error charts; and Scatter plots.

  3. Code Generation – Analysts can quickly generate model code that can be exported into virtually any application, database or deployment system with automated SQL, XML, PMML and SAS generators.

KnowledgeSTUDIO Advanced Feature Highlights
Predictive Models Linear and logistic regression and neural networks
Cluster Analysis K-means and Expectation Maximization algorithms
Scorecards Based on logistic regressions models
Principal Component Analysis To enable variable set reduction
Market Basket Analysis Discovering association rules
Strategy Trees Strategy design based on the decision tree graphical user interface (GUI)
Model Validation

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