I have an ordinary OLAP cube (MS AS2000) with three dimensions, time, market, geography. Each of these dimensions has a simple hierarchy, e.g. time - [all][year][quarter][month], product - [all][market][brand][product]. There are two measures: value, units.
Assume that for business reasons I don't want to distribute that cube with all product brands data. Someone may order/buy sales data for his brand and selected competitor. However for the market level, the cube should have full market aggregated data. In other words, there are four brands: B1, B2, B3, B4. A client orders data only for B1 and B2, so his cube should have data for B1 and B2. But the brands market should have aggregated sum of four brands.
- It is possible to build a such OLAP cube, where aggregated data of lower level cells doesn't sum up to parent cell value?
- If yes to above, then how to find cells with values that do not equal to aggregated lower levels.