How can I create a measure that has previous years Qty SHipped by month that will be used against a Current year measure showing a variance?
I want to take last years qty shipped minus the Plan(I already have this measure working) to get a variance. I have a dimension called dates that has a YY.
example calc..
[Measure].[pyqty] - [Measure].[Plan]
Thanks.
May help you something like this:
It calculates the QTD of the parallel previous period
WITH MEMBER [Measures].[Current QTD] AS
Sum
(
QTD([Date].[Calendar].CurrentMember)
,[Measures].[Internet Order Quantity]
)
MEMBER [Measures].[Last QTD] AS
Sum
(
YTD
(
ParallelPeriod
(
[Date].[Calendar].[Calendar Quarter]
,1
,[Date].[Calendar].CurrentMember
)
)
,[Measures].[Internet Order Quantity]
)
select {[Measures].[Current QTD],[Measures].[Last QTD]} ON 0
FROM [Adventure Works]
WHERE [Date].[Calendar].[Month].&[2005]&[11]
Take a o look at Time Calculations, in order to add time intelligence to your cube
Related
I'm new to MDX querying. I am having trouble changing how the MDX output is formatted. I have made a similar example using the "Adventure Works Internet Sales Model". See below:
WITH
MEMBER [Measures].[Calculate YTD] AS
Sum
(
periodstodate([Date].[Calendar].[Year],[Date].[Calendar].CurrentMember)
,[Measures].[Internet Total Sales]
)
SELECT
{[Measures].[Internet Total Sales]
,[Measures].[Calculate YTD]
} ON COLUMNS,
[Date].[Calendar].[Month] ON ROWS
FROM [Adventure Works Internet Sales Model]
WHERE ([Date].[Date].&[2012-01-01T00:00:00]:[Date].[Date].&[2018-01-01T00:00:00])WHERE ([Date].[Date].&[2012-01-01T00:00:00]:[Date].[Date].&[2018-01-01T00:00:00])
the results looks like this:
MDX results
What I would like to see is that the "[Date].[Calendar].[Month]" row to be displayed as the end of month date (e.g. 31-Mar-2019)
Welcome to SO!
You could add in an additional column showing the last day of each month:
WITH
MEMBER [Measures].[Last Day of Month] AS
[Date].[Calendar].CurrentMember.LastChild.MEMBER_CAPTION
MEMBER [Measures].[Last Day of Month v2] AS
TAIL(EXISTING [Date].[Date].[Date].MEMBERS).ITEM(0).ITEM(0).MEMBER_CAPTION
MEMBER [Measures].[Calculate YTD] AS
Sum
(
periodstodate(
[Date].[Calendar].[Year],[Date].[Calendar].CurrentMember
)
,[Measures].[Internet Total Sales]
)
SELECT
{
[Measures].[Last Day of Month]
, [Measures].[Last Day of Month v2]
,[Measures].[Internet Total Sales]
,[Measures].[Calculate YTD]
} ON COLUMNS,
[Date].[Calendar].[Month]
ON ROWS
FROM [Adventure Works Internet Sales Model]
WHERE
(
[Date].[Date].&[2012-01-01T00:00:00]:
[Date].[Date].&[2018-01-01T00:00:00]
);
Output
I would like to get Cumulative Sum from Jan - Dec for each year
Something similar to Below But replace First Month and Last Month with the current year data. I have data from 2014 -2017
Sum(
[Ship Date].[Date].CURRENT_MEMBER.FirstMonth
: [Ship Date].[Date].CURRENT_MEMBER.LastMonth,[Measures].[Revenue]
)
You may be able to use this structure which I’ve taken from the MSDN YTD page:
WITH MEMBER MEASURES.YTDDEMO AS
AGGREGATE(YTD(), [Measures].[Internet Sales Amount])
SELECT {[Measures].[Internet Sales Amount], MEASURES.YTDDEMO} ON 0,
[Date].[Calendar].MEMBERS ON 1
FROM [Adventure Works]
Here is another alternative:
Aggregate(
PeriodsToDate(
[Date].[Calendar Hierarchy].[Year],
[Date].[Calendar Hierarchy].CurrentMember
),
[Measures].[Sales]
)
How I can calculate MTD for current month in last year? Below query returns total [Net Sales Amount] for 12.2015, but need to have sales from 01.12.2015 to 09.12.2015(Today).
SUM(
MTD(
ParallelPeriod(
[Calender].[YMD].[Month],
12,
[Calender].[YMD].CurrentMember
)
)
,[Measures].[Net Sales Amount]
)
I think you need to use HEAD of the member you're finding:
SUM(
HEAD(
ParallelPeriod(
[Calender].[YMD].[Month],
12,
[Calender].[YMD].CurrentMember
).CHILDREN,
, 9
)
,[Measures].[Net Sales Amount]
)
The above is assuming that in the design of your cube Dates are the children of Month.
You need to make the 9 dynamic - do you have future dates in your cube?
If you do not have future dates then this could work:
WITH
MEMBER [Measures].[NumDaysInCurrentMonth] AS
Count(
Descendants(
TAIL([Date].[Calendar].[Month]).Item(0) //<<<not sure if Item(0) is required
,[Date].[Calendar].[Date]
,SELF
)
)
If you do have future dates then maybe the following:
WITH
MEMBER [Measures].[NumDaysInCurrentMonth] AS
count(
NONEMPTY(
Descendants(
TAIL([Date].[Calendar].[Month]).Item(0) //<<<not sure if Item(0) is required
,[Date].[Calendar].[Date]
,SELF
)
)
)
Then one of the above can feed into the previous:
WITH
MEMBER [Measures].[NumDaysInCurrentMonth] AS
COUNT(
Descendants(
TAIL([Date].[Calendar].[Month]).Item(0) //<<<not sure if Item(0) is required
,[Date].[Calendar].[Date]
,SELF
)
)
MEMBER [Measures].[PrevYearMTD] AS
SUM(
HEAD(
ParallelPeriod(
[Calender].[YMD].[Month],
12,
[Calender].[YMD].CurrentMember
).CHILDREN,
, [Measures].[NumDaysInCurrentMonth]
)
,[Measures].[Net Sales Amount]
)
Here is a snip of my cube's dimension usage:
In "TD Measures" I have
[A] "Billable Client Hours Current".
In "Personnel Measures" I have
[B] "FTE Count" (an employee's amount they are working like .5 for
people who work 20 hours per week)
[C] "Forecast FY End" Forecast for the end of the fiscal year
[D] "Forecast FYTD" Forecast for the current period to date in the fiscal year.
The calculation I need to do at a leaf level is:
[A][B][C]/[D]
The issue is that [A] has more dimensionality that [B], [C], and [D].
So If this is my data:
The calc I need to do is:
((15*.05)+(5*1)) //sum of hours in a period multiplied by that month's FTE
X 2000/300 //last child of FCFYE divided by last child of FCFYTD in the currently selected set.
This calc is likely to change a little over the next week or two, but this is the main concept of what they are looking to do. Any help in writing the MDX for this to create a calculated member in my cube is greatly appreciated. Sorry if I've left out any key info--I'm quite the MDX noob.
Through digging through Chris Webb's and Mosha's posts as well as working with some guys on the MSDN forums I have worked out a solution to this below. Ultimately, I worked out with the business that we didn't need to interrogate the underlying rows to discern if they were active or not since the addition of the root functionality eliminated the need as long as they filtered on it from DimMiscellaneous. But for the sake of helping someone with a similar problem here is the full MDX below.
//Only evaluate if they are active
CREATE HIDDEN UtilizedFTESummator;
[Measures].[UtilizedFTESummator] = Iif([Measures].[Is Active For Utilization Value] > 0,[Measures].[Period FTE],NULL);
NON_EMPTY_BEHAVIOR([Measures].[UtilizedFTESummator]) = [Measures].[Is Active For Utilization Value];
//only include this measure if the underlying employee has values in their underlying data for active in utilization
CREATE MEMBER CURRENTCUBE.[Measures].[FTE Active Utilization]
AS
SUM
(
EXISTING [Historical Personnel].[Employee Id].[Employee Id],
[Measures].[UtilizedFTESummator]
),VISIBLE=0;
//Show weighted FTE by workdays
CREATE MEMBER CURRENTCUBE.[Measures].[FTE MTD Active Utilization]
AS SUM
(
DESCENDANTS([Historical Personnel].[Employee Id].CURRENTMEMBER,[Historical Personnel].[Employee Id].[Employee Id]),
(
DIVIDE
(
SUM
(
DESCENDANTS([Period].[Fiscal Period].CURRENTMEMBER,[Period].[Fiscal Period].[Fiscal Period]),
[Measures].[FTE Active Utilization]*[Measures].[Work Days In Month]
)
,SUM(ROOT([Historical Personnel].[employee id].currentmember),[Measures].[Work Days In Month])
,0
)
)
);
//Use Weighted FTE for calculating the weighted value for each person (all periods aggregated)
//Forecast Billable End Of Year has default aggregation of last child
CREATE MEMBER CURRENTCUBE.[Measures].[Annualized CBH Projected]
AS DIVIDE
(
SUM
(
DESCENDANTS([Historical Personnel].[Employee Id].CURRENTMEMBER,[Historical Personnel].[Employee Id].[Employee Id]),
[Measures].[Billable Client Hours Current] *
(
DIVIDE
(
[Measures].[Forecast Billable End Of Year]
,
[Measures].[Forecast Billable FTE]
,0
)
)
*[Measures].[FTE MTD Active Utilization]
)
,[Measures].[FTE MTD Active Utilization]
,0
);
Simplified answer with the users filtering on the Is Active For Utilization flag is as follows:
//Weight FTE by employee calculating FTE * workdays for each period and then dividing by the sum of days irrespective of filters on historical personnel or miscellaneous
CREATE MEMBER CURRENTCUBE.[Measures].[FTE MTD]
AS SUM
(
DESCENDANTS([Historical Personnel].[Employee Id].CURRENTMEMBER,[Historical Personnel].[Employee Id].[Employee Id]),
(
DIVIDE
(
SUM
(
DESCENDANTS([Period].[Fiscal Period].CURRENTMEMBER,[Period].[Fiscal Period].[Fiscal Period]),[Measures].[Period FTE]*[Measures].[Work Days In Month]
)
,
SUM((ROOT([Historical Personnel].[employee id].currentmember),ROOT([Miscellaneous]),[Measures].[Work Days In Month]))
,0
)
)
);
//Weight by FTE with default agg for Forecast EOY being last child.
CREATE MEMBER CURRENTCUBE.[Measures].[Annualized CBH Projected]
AS DIVIDE
(
SUM
(
DESCENDANTS([Historical Personnel].[Employee Id].CURRENTMEMBER,[Historical Personnel].[Employee Id].[Employee Id]),
[Measures].[Billable Client Hours Current] *
(
DIVIDE
(
[Measures].[Forecast Billable End Of Year]
,
[Measures].[Forecast Billable FTE]
,0
)
)
*[Measures].[FTE MTD]
)
,[Measures].[FTE MTD]
,0
);
I have some MDX queries with calculated members than when I run them in SSMS run very fast.
But when I implement these calculated members in the cube and run them, it's very slowly.
Any ideas of this behavior?
This is the query that runs smoothly in SSMS, but it takes forever when I query the cube from Excel or Tableau (against the same calculated members in the Cube)
with member [Measures].[Sales BUM Avg 3Months]
as
sum(
lastperiods(3, ancestor([Date].[Calendar].currentMember,[Date]. [Calendar].[Calendar Year Month])), [Measures].[Sales Month BUM]
)
/
count(
nonempty(lastperiods(3, ancestor([Date].[Calendar].currentMember,[Date].[Calendar].[Calendar Year Month])), [Measures].[Sales Month BUM])
)
member [Measures].[CoverageSalesBUM]
as
sum([Measures].[Unrestricted BUM])
/
sum([Measures].[Sales BUM Avg 3Months] )
select non empty { [Measures].[Unrestricted BUM] , [Measures].[Sales BUM Avg 3Months] } on 0
,non empty([Date].[Calendar].[Calendar Date] , [Plant].[Plant].[Plant],[Material].[Material].[Material].[149249] ) on 1
from [InventCoverage]
(More of a code review than an answer, as I don't know much about cube scripts so cannot comment on what you might need to do to the cube)
Is you first calculation not a re-invention of the function Avg?
Also in you second calc why do you need to apply Sum()? If this is the aggregation set in the cube then no need to explicitly say Sum. Also apparently Divide is quite a recent introduction and maybe marginally more efficient
WITH
MEMBER [Measures].[Sales BUM Avg 3Months] AS
Avg
(
LastPeriods
(3
,Ancestor
(
[Date].[Calendar].CurrentMember
,[Date].[Calendar].[Calendar Year Month]
)
)
,[Measures].[Sales Month BUM]
)
MEMBER [Measures].[CoverageSalesBUM] AS
Divide
(
[Measures].[Unrestricted BUM]
,[Measures].[Sales BUM Avg 3Months]
)
SELECT
NON EMPTY
{
[Measures].[Unrestricted BUM]
,[Measures].[Sales BUM Avg 3Months]
} ON 0
,NON EMPTY
(
[Date].[Calendar].[Calendar Date]
,[Plant].[Plant].[Plant]
,[Material].[Material].[Material].[149249]
) ON 1
FROM [InventCoverage];