| Dimensional modeling with Ranged Dimensions |
| Written by Alberto Ferrari |
| Thursday, 06 September 2007 05:41 |
|
A ranged dimension is a dimension that is used to have a discrete view of a continuous measure. A good example of this is the analysis of amount sold per order. In AdventureWorks we have, for each line of an order, the amount and quantity sold. We would like to divide orders in three groups (HIGH, MEDIUM, LOW) based on the total of the order. This is a very frequent kind of analysis that is used to determine how much money customers are willing to spend in a single order and may be very useful to check whether there is any kind of relationship between the characteristics of a customer and his/her medium spending capability. |
Top Rated
- SSAS Implementation Best Practices slides in PDF format
- SSRS Report Against a SSAS Parent Hierarchy
- Using AS Data Mining to Add Forecast Values to a Cube
- Handling inter-dimensional members dependency and reducing cube sparsity using reference dimensions in Analysis Services 2005
- Cube structure optimization for MDX query performance in Analysis Services 2005 SP2: Tips for Parent Child Hierarchies usage
- Handling Multiple Calendars with a M2M Scenario
- Passing MDX parameters in Reporting Services reports
- Using UserName to Control Data Access and Default Member in SSAS 2K5 (Carrie Williams)




