How to filter measure multiple times in cube - ssas

I need to product a report from my cube that looks something like the following.
(dummy data)
Where it lists sales and gross profit for today, this week, the period and year to date across the products category.
My cube is setup as follows
A date dimension
And the cube itself
Currently I have not implemented the product category pieces.
I'm struggling with how to write an MDX query that can return the sales/gross profit for a single day and then week and so on.
I can return it by itself like so
SELECT {[Measures].[Gross Profit],[Measures].[Price]} ON COLUMNS
From [Cube]
WHERE [Date].[Date Key].[2015-04-22];
and so on for the other various types (week etc), but I'm unsure as how to apply the where filter to the columnn itself rather than the overall query, or if this is even the correct way to do it and I should be making multiple MDX calls that I then compose in my app that will use this.
Can anyone give me a pointer in the right direction here?
EDIT: Seems to mostly work using the approach #Akshay Rane described however I cannot get one of my measures to work
MEMBER [This Week] as
(PeriodsToDate([Date].[Fiscal Week Date].[Fiscal Week],StrToMember('[Date].[Fiscal Week Date].[Date Key].&[' + '20140401' + ']'))
,[Measures].[Merchandise Gross Profit])
Gives me an error:
The function expects a string or numeric expression for the argument. A tuple set expression was used.
Any pointers here?

You will have to create separate Calculated Members for each time interval you want to aggregate the data upon.
This can be done in [Adventure Works] cube as follows.
WITH
MEMBER [Today] as
([Measures].[Internet Sales Amount], [Date].[Date].CURRENTMEMBER)
MEMBER [Last Week] as
AGGREGATE (
{ [Date].[Date].CURRENTMEMBER.lag(6) : [Date].[Date].CURRENTMEMBER }
, [Measures].[Internet Sales Amount]
)
SELECT
{ [Today], [Last Week] } ON 0,
{ ([Product].[Product Categories].[Category], [Date].[Date].[Date]) } ON 1
FROM
(
/*FILTERING ON SPECIFIC DATE USING SUBCUBE*/
SELECT [Date].[Date].&[20070715] ON 0
FROM [Adventure Works]
)

If you can take the different levels of date from the same user hierarchy then something like this is possible:
SELECT
{
[Date].[Calendar].[Month].&[2006]&[7]
,[Date].[Calendar].[Date].&[20050220]
}
*
{
[Measures].[Order Quantity]
,[Measures].[Internet Sales Amount]
} ON COLUMNS
,{[Product].[Category].Children} ON ROWS
FROM [Adventure Works];
The above produces results like this:

Related

Parser: The syntax for 'SCOPE' is incorrect

I'm learning MDX and having trouble with SCOPE.
As a test I'm trying to create a new measure only for Fiscal Year 2011 but
have a syntax error.
It isn't a Create Calculated Measure in SSAS Script but a query in SSMS.
Any help or pointers would be great.
WITH MEMBER [Measures].[Test Scope]
AS 1
(
SCOPE ([Measures].[Test Scope]);
SCOPE ([Date].[Fiscal Year].&[2011]);
THIS = [Measures].[Reseller Order Quantity] + 10000;
END SCOPE;
END SCOPE;
)
SELECT
{[Measures].[Reseller Order Quantity],[Measures].[Test Scope]} ON COLUMNS
,[Date].[Fiscal Year].[Fiscal Year].MEMBERS ON ROWS
FROM [Adventure Works]
Query (4, 2) Parser: The syntax for 'SCOPE' is incorrect.
You can’t use a scope statement in a query. It has to be defined in the MDX script of the cube or run in the context of a session. The most common way to handle this is the following.
WITH MEMBER [Measures].[Test Scope] AS
IIF(
[Date].[Fiscal Year].CurrentMember is [Date].[Fiscal Year].&[2011],
[Measures].[Reseller Order Quantity] + 10000,
NULL
)
SELECT
{[Measures].[Reseller Order Quantity],[Measures].[Test Scope]} ON COLUMNS
,[Date].[Fiscal Year].[Fiscal Year].MEMBERS ON ROWS
FROM [Adventure Works]
There is also very old MDX syntax CELL CALCULATION in an MDX query which I would recommend not using without through testing since it is infrequently used. Off the top of my head it would look like this. It could “scope” over any measure or calculated measure or tuple. Here we have scoped over a null calculated measure.
WITH MEMBER [Measures].[Test Scope] AS
NULL
CELL CALCULATION [Test Scope Calc]
FOR '([Measures].[Test Scope],[Date].[Fiscal Year].&[2011])'
AS '[Measures].[Reseller Order Quantity] + 10000'
SELECT
{[Measures].[Reseller Order Quantity],[Measures].[Test Scope]} ON COLUMNS
,[Date].[Fiscal Year].[Fiscal Year].MEMBERS ON ROWS
FROM [Adventure Works]

Cumulative Sum | Exclude attribute from calculation

I am trying to do Cumulative Sum/ Running Total using the function below so the user can use any date level, but the requirement is to ignore some of the attributes from the calculation.
Function used:
SUM(NULL:Axis(1).Item(0).Item(Axis(1).Item(0).Count-1).Hierarchy.CurrentMember, [Measures].[ Number of Ticket])
Example:
The table below shows the Cumulative Sum as expected
Example - 1
Here by adding another attribute, Program Remaining, as shown below, its changes the Cumulative behavior, Because Excel will add that attribute to the grouping so it reset the cumulative sum:
Example - 2
Is there a way that I can exclude the Program Remaining attribute from the calculation (I have another 4 attributes that I want to exclude) so that the cumulative can be increased just like the first table even with adding these attribute.
I really appreciate any help
Try using the below sample query
with
member
[Measures].[Internet Sales AmountRunningtotal]
as
case when [Measures].[Internet Sales Amount] = null then null
else
sum({[Product].[Subcategory].firstchild:[Product].[Subcategory].currentmember},[Measures].[Internet Sales Amount])
end
select {[Measures].[Internet Sales Amount],
[Measures].[Internet Sales AmountRunningtotal]
} on columns,
non empty
([Date].[Calendar Year].[Calendar Year],[Date].[Calendar Quarter of Year].[Calendar Quarter of Year],
[Product].[Category].[Category],[Product].[Subcategory].[Subcategory])
on
rows
from
[Adventure Works]
So I explored the sample sent, Your only solutions is to keep the date in the inner most position, your query qouted above will break if you are not using entire members of an attribute.

MDX Prior Quarter Day Range

I've been tasked with a rather odd Time intelligence function by my finance group that I'm trying to puzzle out.
I've been asked with creating a measure within our SSAS Cube to allow for seeing previous quarter to date based on how far we are in the current quarter. But instead of seeing a standard idea of days elapsed currently versus days elapsed previously, they would like to see days remaining versus previous days remaining.
What I mean by that is, take 1/22/2015 for example. We have 48 days remaining in our current quarter, which I have by means of a calculated measure. I need to find the corresponding working day from the previous quarter where it is also at 48 days remaining.
At that point I could create a date range with some aggregate functions off of the first date in the previous quarter to the corresponding date found in the above and come up with what they are looking for.
The best idea I've had so far is to possibly do this in the database section itself, by creating a new column that is essentially the calculated number of days remaining but stored. But at that point I'm not sure how to take a calculated measure in SSAS and filter a previous quarter date member to use that property as it were.
Do you have an utility dimensions in your cube? We have one called TimeCalculations. In there we have things such as CurrentValue, MTDValue, PrevEquivMTD, Past7Days .... I think your new logic would fit in with such a dimension.
Here is an example of PrevEquivQTD against AdvWrks that I just had a play with. Guessing this doesn't really help your scenario but I had fun writing it:
WITH
SET [NonEmptyDates] AS
NonEmpty
(
[Date].[Calendar].[Date].MEMBERS
,[Measures].[Internet Sales Amount]
)
SET [LastNonEmptyDate] AS
Tail([NonEmptyDates])
SET [CurrQ] AS
Exists
(
[Date].[Calendar].[Calendar Quarter]
,[LastNonEmptyDate].Item(0)
)
MEMBER [Measures].[pos] AS
Rank
(
[LastNonEmptyDate].Item(0)
,Descendants
(
[CurrQ]
,[Date].[Calendar].[Date]
)
)
MEMBER [Measures].[PrevEquivalentQTD] AS
Sum
(
Head
(
Descendants
(
[CurrQ].ITEM(0).PrevMember
,[Date].[Calendar].[Date]
)
,[Measures].[pos]
)
,[Measures].[Internet Sales Amount]
)
SELECT
{[Measures].[pos],[Measures].[PrevEquivalentQTD]} ON 0
,[LastNonEmptyDate] ON 1
FROM
(
SELECT
[Date].[Calendar].[Date].&[20050111]
:
[Date].[Calendar].[Date].&[20080611] ON 0
FROM [Adventure Works]
);
Your Date is 1/22/2015. You want the Same Date in Previous Quarter which would be 8/22/2015.
If this is what you want, you will have to use MDX function ParallelPeriod as shown in sample below. Please replace it with your own Dimensions and Cube.
Select
ParallelPeriod
(
[Date].[Calendar Date].[Calendar Quarter], -- Level Expression
1, -- Index
[Date].[Calendar Date].[Date].&[20150122] -- Member Expression
) On 0
From [Adventure Works]
If you want the same date in the following quarter, then replace index 1 with -1.
Cheers

MDX - active in current period, and not active in previous period

What is the most efficient way to do this in MDX? I know you can create 2 calculated measures, having active with the time dimension current period selected, and another having the previous period, and then do a filter with a complex condition.
However what about other functions which may be more efficient? Any recommendations?
My goal is to create a set of calculated measures, which would help customer analysts. The main 2 dimensions, for these are [Calendar], and obviously [Customer]. I have a fact, which contains activity for customers. These are the 3 entities that our calculations would be based on.
This is from an article by Chris Webb: http://cwebbbi.wordpress.com/2010/10/08/counting-new-and-returning-customers-in-mdx/
With a follow up article on how to optimize it: http://cwebbbi.wordpress.com/2013/06/28/optimising-returning-customers-calculations-in-mdx/
WITH
MEMBER MEASURES.[Returning Customers] AS
COUNT(
NONEMPTY(
NONEMPTY(
[Customer].[Customer].[Customer].MEMBERS
, [Measures].[Internet Sales Amount])
, {[Measures].[Internet Sales Amount]}
* {NULL : [Date].[Calendar].CURRENTMEMBER.PREVMEMBER}
)
)
MEMBER MEASURES.[New Customers] AS
[Measures].[Customer Count] – MEASURES.[Returning Customers]
SELECT
{[Measures].[Customer Count]
, MEASURES.[Returning Customers]
, MEASURES.[New Customers]} ON 0,
[Date].[Calendar].[Calendar Year].MEMBERS ON 1
FROM [Adventure Works]

How to groupby and filter on the same dimension in MDX

I want to create a barchart with a bar for each month and some measure.
But i also want to filter on a range of day which might not completly overlap some of the month.
When that happen I would like the aggregate count for those month to only aggregat over the days that fall in my date range not get the aggregate for the whole month.
Is that possible with MDX and if it is how should the request look like?
Create a second time dimension, using a virtual dimension of the original dimension. Use one dimension in the WHERE and another in the SELECT.
This often happens anyway if some people want 'Business Time' of quarters and periods, and others prefer months. Or if you have a financial year which runs April-April.
You can use subselect. You can find more information on this page and this page:
When a member is specified in the axis clause then that member with
its ascendants and descendants are included in the sub cube space for
the subselect; all non mentioned sibling members, in the axis or
slicer clause, and their descendants are filtered from the subspace.
This way, the space of the outer select has been limited to the
existing members in the axis clause or slicer clause, with their
ascendants and descendants as mentioned before.
Here is an example:
SELECT { [Customer].[Customer Geography].[Country].&[Australia]
, [Customer].[Customer Geography].[Country].&[United States]
} ON 1
, {[Measures].[Internet Sales Amount], [Measures].[Reseller Sales Amount]} ON 0
FROM ( SELECT {[Customer].[Customer Geography].[Country].&[Australia]
, [Customer].[State-Province].&[WA]&[US]} ON 0
FROM [Adventure Works]
)
The result will contain one row for Autralia and another one for the United States. With the subselect, I restricted the value of United Stated to the Washington state.
One way I found to do it with Mondrian is as follow
WITH MEMBER [Measures].[Units Shipped2] AS
SUM
(
{
exists([Store].[Store Country].currentmember.children,{[Store].[USA].[WA],[Store].[USA].[OR]})
},[Measures].[Units Shipped]
)
MEMBER [Measures].[Warehouse Sales2] AS
SUM
(
{
exists([Store].[Store Country].currentmember.children,{[Store].[USA].[WA],[Store].[USA].[OR]})
},[Measures].[Warehouse Sales]
)
SELECT
{[Measures].[Units Shipped2],[Measures].[Warehouse Sales2]} ON 0,
NON EMPTY [Store].[Store Country].Members on 1
FROM [Warehouse]
I am not sure if the filtering will be done in SQL like below and give good performance or be run locally
select Country, sum(unit_shipped)
where state in ('WA','OR' )
group by Country