SSAS测量平均值与范围值相关

Question

I have Sales data provided weekly and Lookup data provided quarterly. In the SSAS data cube I have pre-calculated average of sales data for each period of time and what I need to do is to get related record from LookupTable for next calculations, where: LookupTable.Min < Sales Average < LookupTable.Max

Example:

Sales = 297 + 33 + 311 = 641

SalesAverage = 213.66

LookupRecordShrinkageIndicator = Min < SalesAverage < Max = 0 < 213.66 < 9000 = 0.007

CREATE TABLE dbo.SalesData
(
    Id int,
    Sales decimal(18, 2)    )


CREATE TABLE dbo.LookupTable
(
    Id int,
    Min int,
    Max int,
    Shrinkage decimal(10, 5),
    Wages decimal(10, 5),
    Waste decimal(10, 5)
 )

INSERT [dbo].[SalesData] ([Id], [Sales]) VALUES (1, 297)
INSERT [dbo].[SalesData] ([Id], [Sales]) VALUES (2, 33)
INSERT [dbo].[SalesData] ([Id], [Sales]) VALUES (3, 311)

INSERT [dbo].[LookupTable] ([Id], [Min], [Max], [Shrinkage], [Wages], [Waste]) VALUES (1, 0, 9000, 0.00700, 0.12700, 0.00300)
INSERT [dbo].[LookupTable] ([Id], [Min], [Max], [Shrinkage], [Wages], [Waste]) VALUES (2, 9000, 9250, 0.00700, 0.12700, 0.00300)
INSERT [dbo].[LookupTable] ([Id], [Min], [Max], [Shrinkage], [Wages], [Waste]) VALUES (3, 9250, 9500, 0.00700, 0.12300, 0.00300)

I need to create calculated member based on sales average which contains indicators from lookup table for next calculations.

Answer 1

To solve this issue I had to use my LookupTable as dimension and as measures, let's see how I did this.

1. Create dimension based on LookupTable:

2. Add Lookup measures do the cube and add Lookup dimension to the cube as well.

3. Create Fact relationship between Lookup dimension and Lookup measures group

That's all:

Let's see mdx example:

SELECT 
{
    FILTER([Lookup Table].[Id].AllMembers ,  [Measures].[Min] <= 213 AND [Measures].[Max] > 213 )
}
ON COLUMNS,
{
    [Measures].[Shrinkage - Lookup Table], [Measures].[Wages - Lookup Table], [Measures].[Waste - Lookup Table]

} ON ROWS
FROM
[MyCube]

And result:

I hope this example will be useful