| Data-driven Time filters in PerformancePoint M&A |
| Written by Rob Kerr |
| Monday, 16 June 2008 02:04 |
|
Recently I've been working on methods to display time filters in PerformancePoint M&A that are more user-friendly and efficient for users. The conventional alternatives--Member Selection, Time Intelligence Post-Back and Time Intelligence Filter--have their strengths, and all of them are user friendly! However I find that often the underlying data structure doesn't fit with the design of these filter tools. The fundamental problem I seem to encounter most often is that the data in the average cube isn't "as of" the current system date and/or the [Time] dimension extends well beyond the last date/time used in the data set. For example, a cube may be processed daily, and the [Last Order Date] is yesterday, but the [Time] dimension extends one year in the future (to support forecasting, perhaps). Read more... |
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