Using measure at a certain hierarchy level and summarizing calculated results

Hi,
I have a four-level hierarchy structure (Category, SubCategory, SubSubCategory and Item) in a PivotTable containing two measures (measure 1, measure2). I need a third measure that compares results of those two measures at SubSubCategory level to
choose the maximum of those two measures. Selection should not be done at Item level or SubCategory or Category level.
Item level results should give blank values as result. After choosing the bigger measure value at SubSubCategory level, measure 3 should calculate the sum of measure 3 at SubCategory level and of course at Category level.
BR,
Heidi

Hi Heidi,
Thanks for providing the additional information. If I've understood your requirement correctly then the following DAX formula should give the desired result:
Measure 3:=IF(
NOT ISFILTERED('Data'[Item]),
SUMX(
ADDCOLUMNS(
VALUES('Data'[SubSubCategory]),
"Greater Measure", IF([Measure 1] >= [Measure 2], [Measure 1], [Measure 2])
[Greater Measure]
The formula is always comparing the measures at the SubSubCategory granularity and picking the highest measure value for each SubSubCategory. The result is then rolled up to higher levels i.e. Sub Category and Category. The outermost IF function has
been used to stop any result from being returned for the Item level in Pivot Tables.
This is the output that I got after dragging it onto the Pivot Table:
Edit: I noticed that the language setting that you are using means your DAX parameter delimiter is ';'. Simply replace all of the ',' in the formula I provide with ';' and it should work for you :)
Regards,
Michael Amadi
Please use the 'Mark as answer' link to mark a post that answers your question. If you find a reply helpful, please remember to vote it as helpful :)
Website: http://www.nimblelearn.com, Twitter:
@nimblelearn

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Loading Hierarchy levels as Navigational Attributes of 0MATERIAL.

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bit of background about the issue: 
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 MATERIAL TYPE /BI0/OIMATERIAL, 
 HIER_LEVEL1 TYPE RSSHNODENAME, 
 HIER_LEVEL2 TYPE RSSHNODENAME, 
 HIER_LEVEL3 TYPE RSSHNODENAME, 
 HIER_LEVEL4 TYPE RSSHNODENAME, 
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 END OF TY_HIER. 
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 WA_HIER TYPE TY_HIER. 
DATA: LT_MAT_HIER TYPE STANDARD TABLE OF /BI0/HMATERIAL, 
 WA_MAT_HIER TYPE /BI0/HMATERIAL, 
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 Sort LT_MAT_HIER by iobjnm nodename. 
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 binary search. 
 Sort LT_MAT_HIER by nodeid. 
 WHILE WA_MAT_HIER-TLEVEL > 1. 
 READ TABLE LT_MAT_HIER 
 INTO WA_MAT_HIER WITH KEY NODEID = WA_MAT_HIER-PARENTID 
 binary search. 
* IF SY-SUBRC = 0. 
 SHIFT WA_MAT_HIER-NODENAME BY 3 PLACES LEFT. 
 CASE WA_MAT_HIER-TLEVEL. 
 WHEN '07'. 
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 ENDCASE. 
 ENDWHILE. 
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 CLEAR WA_HIER. 
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Thanks in advance 
Cheers 
POPS 

Any other thoughts guys...
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Above i wrote my case of study:
DEFINE T_TIME DIMENSION TEXT
T_TIME
200401
200402
200403
200404
200405
200406
200407
200408
200409
200410
200411
2004
200412
200501
200502
200503
200504
200505
200506
200507
200508
200509
200510
200511
2005
200512
DEFINE T_TIME_PARENTREL RELATION T_TIME <T_TIME T_TIME_HIERLIST>
-----------T_TIME_HIERLIST-------------
T_TIME H_TIME
200401 2004
200402 2004
200403 2004
200404 2004
200405 2004
200406 2004
200407 2004
200408 2004
200409 2004
200410 2004
200411 2004
2004 NA
200412 2004
200501 2005
200502 2005
200503 2005
200504 2005
200505 2005
200506 2005
200507 2005
200508 2005
200509 2005
200510 2005
200511 2005
2005 NA
200512 2005
DEFINE PRUEBA2_IMPORTE FORMULA DECIMAL <T_TIME>
EQ -
aggregate(this_aw!PRUEBA2_IMPORTE_STORED using this_aw!OBJ262568349 -
COUNTVAR this_aw!PRUEBA2_IMPORTE_COUNTVAR)
T_TIME PRUEBA2_IMPORTE
200401 NA
200402 NA
200403 2,00
200404 2,00
200405 NA
200406 NA
200407 NA
200408 NA
200409 NA
200410 NA
200411 NA
2004 4,00 ---> here its right!! but...
200412 NA
200501 5,00
200502 15,00
200503 NA
200504 NA
200505 NA
200506 NA
200507 NA
200508 NA
200509 NA
200510 NA
200511 NA
2005 10,00 ---> here must be 30,00 not 10,00
200512 NA
DEFINE PRUEBA2_IMPORTE_STORED VARIABLE DECIMAL <T_TIME>
T_TIME PRUEBA2_IMPORTE_STORED
200401 NA
200402 NA
200403 NA
200404 NA
200405 NA
200406 NA
200407 NA
200408 NA
200409 NA
200410 NA
200411 NA
2004 NA
200412 NA
200501 5,00
200502 15,00
200503 NA
200504 NA
200505 NA
200506 NA
200507 NA
200508 NA
200509 NA
200510 NA
200511 NA
2005 10,00
200512 NA
DEFINE OBJ262568349 AGGMAP
AGGMAP
RELATION this_aw!T_TIME_PARENTREL(this_aw!T_TIME_AGGRHIER_VSET1) PRECOMPUTE(this_aw!T_TIME_AGGRDIM_VSET1) OPERATOR SUM -
args DIVIDEBYZERO YES DECIMALOVERFLOW YES NASKIP YES
AGGINDEX NO
CACHE NONE
END
DEFINE T_TIME_AGGRHIER_VSET1 VALUESET T_TIME_HIERLIST
T_TIME_AGGRHIER_VSET1 = (H_TIME)
DEFINE T_TIME_AGGRDIM_VSET1 VALUESET T_TIME
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Regards,
Mel.

Mel,
There are several different types of "data loaded into different hierarchy levels" and the aproach to solving the issue is different depending on the needs of the application.
1. Data is loaded symmetrically at uniform mixed levels. Example would include loading data at "quarter" in historical years, but at "month" in the current year, it does /not/ include data loaded at both quarter and month within the same calendar period.
= solved by the setting of status, or in 10.2 or later with the load_status clause of the aggmap.
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= the aggregate command overwrites aggregate values based on the values of the children, this is the only repeatable thing that it can do. The recomended way to solve this problem is to create 'self' nodes in the hierarchy representing the data loaded at the aggregate level, which is then added as one of the children of the aggregate node. This enables repeatable calculation as well as auditability of the resultant value.
Also note the difference in behavior between the aggregate command and the aggregate function. In your example the aggregate function looks at '2005', finds a value and returns it for a result of 10, the aggregate command would recalculate based on january and february for a result of 20.
To solve your usage case I would suggest a hierarchy that looks more like this:
DEFINE T_TIME_PARENTREL RELATION T_TIME <T_TIME T_TIME_HIERLIST>
-----------T_TIME_HIERLIST-------------
T_TIME H_TIME
200401 2004
200402 2004
200403 2004
200404 2004
200405 2004
200406 2004
200407 2004
200408 2004
200409 2004
200410 2004
200411 2004
200412 2004
2004_SELF 2004
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200501 2005
200502 2005
200503 2005
200504 2005
200505 2005
200506 2005
200507 2005
200508 2005
200509 2005
200510 2005
200511 2005
200512 2005
2005_SELF 2005
2005 NA
Resulting in the following cube:
T_TIME PRUEBA2_IMPORTE
200401 NA
200402 NA
200403 2,00
200404 2,00
200405 NA
200406 NA
200407 NA
200408 NA
200409 NA
200410 NA
200411 NA
200412 NA
2004_SELF NA
2004 4,00
200501 5,00
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200503 NA
200504 NA
200505 NA
200506 NA
200507 NA
200508 NA
200509 NA
200510 NA
200511 NA
200512 NA
2005_SELF 10,00
2005 30,00
3. Data is loaded at a level based upon another dimension; for example product being loaded at 'UPC' in EMEA, but at 'BRAND' in APAC.
= this can currently only be solved by issuing multiple aggregate commands to aggregate the different regions with different input status, which unfortunately means that it is not compatable with compressed composites. We will likely add better support for this case in future releases.
4. Data is loaded at both an aggregate level and a detail level, but the calculation is more complicated than a simple SUM operator.
= often requires the use of ALLOCATE in order to push the data to the leaves in order to correctly calculate the aggregate values during aggregation.

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Using measure at a certain hierarchy level and summarizing calculated results

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