Benefit to the Business

Business analysts and other decision makers can quickly make, test and describe statistically based business decisions with greater confidence and clarity.

Key Features

Decision Tree Design Environment

• Select decision points based on automated recommendations
• Evaluate and assign actions based on business assumptions, cost/benefit and resource formulas
• Build measurements using business assumptions, predictive models, formulas and constant factors
• Use the intuitive expression language to write formulas that can include references to any data variables (attributes), math and aggregation functions, and complex logic blocks like "if-then"
• Build strategies incorporating existing models or clusters

Interactive Testing and Experimentation

• Simulate the behavior of strategies using actual customer data
• Test actions across strategy segments to forecast desired outcomes
• Perform numerous "what-if" comparisons within the same interface
• Design champion/challenger tests
• Analyze segments and populations free-form or guided

Clustering and Segmentation

• Automate cluster generation based on an analysis of common data characteristics
• Iteratively select variables and adjust the number of clusters
• Reuse clusters in both strategies and models

Strategy Management and Documentation

• Put strategies, including any embedded models and data transformations, into production without coding
• Export strategies as templates for use with new data sets and for future strategy development
• Export detailed strategy and simulation metrics to Excel for sharing with other decision makers or for additional analysis
• Provide a detailed report for any given strategy
• Document business and data assumptions made with formulas, clusters or decision trees