Dynamic Grouping enables tremendous flexibility for categorizing information in unique and different ways outside of traditional groupings. This frees the user from being dependent on predefined groupings and values within the source data. This functionality provides for dynamic clustering of dimension values to create new groupings based on an analyst-driven selection process. This allows users to creatively and dynamically summarize information in ways that are not handled by standard coding structures or pre-defined groupings within a data source

Examples:

• Customer Dimensions can be easily grouped together to identify specific areas of be analyzed and then view by age group or gender to determine which procedures are most prominent
• Group all customers within a 50 mile radius of a specific location to measure facility access analysis
• Group certain Sales categories to gain insight into the efficacy of targeted customers by geography
• Create store profits by grouping types of sales by unit and location.
• Analyze and compare specific customer segments of members such as Washington customers between the ages of 35-44.