I have three dimensions in my Cube - Month , Products and Services.My requirement is to find the sum of top five products based on months dimension and then I have to find the different services for the sum of top 5.I am able to find the sum of top 5 but when i try to do crossjoin with Service , the result which i get doesnt give correct data.
Please help
Related
Below query is perfectly working and bringing rolling 12 months data for selected measure. Now how do I add one more measure to same MDX query so that query fetch rolling 12 months for 2 measures?
Thanks in advance for your help.
Working query with single measure
select
non empty({lastperiods(12,[Time].[By Fiscal Year].[Period].&[Jul-21])}) on columns,
[Customer].[CustomerName].[CustomerName].MEMBERS on rows
from(
select
([CustomerNamedSet]) on columns
from [CSIS]
where ({[Time].[By Fiscal Year].[Period].&[Jul-21]},
{[Measures].[measure1]})
)
enter image description here
Modified MDX query by adding one more measure in where clause (Not working)
select
non empty({lastperiods(12,[Time].[By Fiscal Year].[Period].&[Jul-21])}) on columns,
[Customer].[CustomerName].[CustomerName].MEMBERS on rows
from(
select
([customerNamedSet]) on columns
from [CSIS]
where ({[Time].[By Fiscal Year].[Period].&[Jul-21]},
{[Measures].[measure1],[Measures].[measure2]})
)
Expected results::
enter image description here
I am using SSAS Multidimensional cube.I have factsales and two dimdate,dimsalespoint table. I need to show top sales every month by sales point.Also i need to show this data into power bi.My cube brower will be look like
July salespoint1 1254
Aug Salespoint2 2589
Sep SalesPoint3 85236.
Per month which sales point sales high.
It will also filter year, product etc.
Can any one help me.
I think that you can do this with only PowerBI
You juste need to drag you sales infos and select max aggreagate and filter them by month and salespoint.
In powerBI you connect to your cube
you drag and drop your salesvalue and select the matrix visual
you use salespoint in row , date in column and salesvalue in values
You can select a max aggregate on your values
You'll get something like this :
and you can navigate in the date hierarchy by using the arrow on the top right
If you use a live connexion with an OLAP cube.
You can replace you max in powerBI by doing these step :
and select max
you then have to use this measure in the powerBI report because it will be based on your table filtered by what you put in the visual(date, salespoint,...)
This is a question regarding SSAS Cubes, MDX formulas and Power BI.
I have a measure with the active members per each month. So when I select for example 2018 it shouldn´t aggregate but return the last available month with active members, and if I break down by month it should give the active members for each month.
So I have this formula which works almost fine if querying in MS Management Studio:
with member [Measures].[Last existing SOCIOS] AS
Max(
EXISTING [DIM FECHA].[Jerarquía].[MES NOMBRE].members,
iif([Measures].[ACTIVOS] = 0,null,
[Measures].[ACTIVOS])
)
select {[Measures].[Last existing SOCIOS]} on columns,
[DIM FECHA].[MES NOMBRE].members on rows
from [cubo_Compromisos]
where [DIM FECHA].[AÑO].&[2018]
I would prefer to have the november value returned at the 'All' level. But this is not my main problem. The real issue is that when I use this measure in Power BI it behaves differently: when selecting multiple months it ignores the selected values and just returns the last value for the whole year.
In the screenshot below I have added the value returned by the KPI Card because that is the value that I want returned:
If I select items like this it does it right, but I need it to select all months, and not just one because I am using this measure along others:
Does anyone know the right MDX function to use or an alternative?
Edited: 23-11-2018
It does the same in a Pivot Table connected to a SSAS Cube.When I add the date dimension to the table it works fine. But when using the date dimension and filtering it without the dimension added as rows it returns the value for the whole year.
The function you are looking at is LastChild. Last Child on the upper level of the hierarchy will return the value you are looking at.
I think that function can be used in the Cube design in SSAS - then this will be the standard behavior. If you want to do it with a query you need to do something like:
SELECT [Date].[Fiscal].[Fiscal Quarter].[Q1 FY 2002].LastChild ON 0
FROM [Adventure Works]
To get the last month of the 1st quater (I used example from microsoft and another post on the subject )
I am new to SSAS and I am trying to write a query in ssas caluculation tab that will show all customers (customername) and items ordered (ItemName) in last 40 days. I am not sure is calculation tab the best option to do this.
I have got only one measure VOLUME and dimension attributes (customername,itemname,officename,shipdate ...) I have got also Date Hierarchy with Year->Q->Month->Date.
I have got this statement that gives me netvolume for specific itemname in last 40 days, but what i am looking for is all customers and items ordered in last 40 days. I do not need measure. ( this 40 days might change to 20 or 60 days)
SELECT
{ [Measures].[NET VOLUME]} ON COLUMNS,
FILTER
(
{[CUBENAME].[SHIPDATE].&[2018-03-23T00:00:00]:[CUBENAME].[SHIPDATE].&[2018-05-01T00:00:00]},
[CUBENAME].[ITEMNAME].&[11# RPC 6411]
) ON ROWS
FROM[CUBENAME]
Try using named query in the DSV and filter based on the date field.
Im trying to create a daily calculation in my Cube or an MDX statement that will do a calculation daily and roll up to any dimension. I've been able to successfully get the values back, however the performance is not what I think it should be.
My fact table will have 4 dimensions 1 of which being daily date (time). I have a formula that uses 4 other measures in this fact table and those need to be calculated daily and then geometrically linked across the time dimension.
The following MDX statement works great and produces the correct value but it is very slow. I have tried using exp(sum(log+1))-1 and multiply seems to perform a little better but not good enough. Is there another approach to this solution or is there something wrong with my MDX statement?
I have tried defining aggregations For [Calendar_Date] and [Dim_Y].[Y ID], but it does not seem to use these aggregations.
WITH
MEMBER Measures.MyCustomCalc AS (
(
Measures.x -Measures.y
) -
(
Measures.z - Measures.j
)
)
/
Measures.x
MEMBER Measures.LinkedCalc AS ASSP.MULTIPLY(
[Dim_Date].[Calendar Date].Members,
Measures.MyCustomCalc + 1
) - 1
SELECT
Measures.LinkedCalc ON Columns,
[Dim_Y].[Y ID].Members ON Rows
FROM
[My DB]
The above query takes 7 seconds to run w/ the following number of records:
Measure: 98,160 records
Dim_Date: 5,479 records
Dim_Y: 42 records
We have assumed that by defining an aggregation that the amount of calculations we'd be performing would only be 42 * number of days, in this case a maximum of 5479 records.
Any help or suggestions would be greatly appreciated!