Analysis :: How To Make Calculated Measure Behave Based On Dropped Dimension
Jun 25, 2015
i want to create a new measure that will behave based on the dimension dropped,ex. if i added the employee dimension only it will aggregate data from the #Calls Count but if i added the product dimension it should display # Product Calls at the product level and #Calls Count at the employee level as shown in the screen shot.
In my cube there are two measures which are used in different calculations.Now I'm need to show in report if there any months in data when both or even another one of the measures is not updated (value = 0 or NULL).
how should I create the calculated measure for that?
I have tried in mgmt studio to plan this but I'm in a loop of errors.
I am trying to count a set as a calculated measure, when this set is called directly in the row , it returns fast, but when i try to count the set as calculated measure(so i can slice with another dimension) the query keeps running forever.
The queries are below
select {} on 0, nonempty ( {([Transaction].[RPC Count].&[1],[Transaction].[Account ID].[Account ID])} , {([Account].[PAYMENTSTATUS].&[0],[Account].[Account ID].[Account ID])} ) on 1
The user wants to be able, using excel, to apply a filter to all measures in every measure group. I though that I can create a dimension with a single level with two members, let´s say "on" and "off" and depending on the selected member and using an IIF statement decide which formula applies to the calculated measures.
I have serious doubts about the performance and for this technique because I am thinking as a .Net developer and not as a cube developer. Maybe it is better to resolve it scoping the measures but I cannot figure it out.
I have a requirement in Power Pivot where I need to show value based on the Dimension Column value.
If value is Selling Price then Amount Value of Selling Price from Table1 should display, if Cost Price then Cost Price Amount Should display, if it is Profit the ((SellingPrice-CostPrice)/SellingPrice) should displayMy Table Structure is
I have a Fact table that contains several degenerate string values that I have pulled into a Fact Dimension.
When I browse the cube and cut one of the measures by an attribute from the Fact Dimension, I am getting incorrect data.
In other words, when I query the fact table directly via SQL and apply the same filters, I see the data I am expecting to see. But cube browse with same filters yields different results.
How can this happen since the fact dimension has a 1:1 relationship with the fact table.
I do have the Dimension Usage configured properly.
Is this an aggregation thing? Attribute key thing? What am I missing?
hi all, I was wondering if it is possible in SSAS 2005 that a calculated member is based off of an (integer) dimension attribute and another (integer) measure (let's say a multiplication operation) ?
If there a trick on doing so? other than stuffing the (integer) dimension attribute back in the fact table, as an measure?
I'm trying to create a percentile rank function based on the standard WIKI version:
I've seen Brian Knight's article here, but that only deals with percentile.
Where I'm struggling is getting the count of members in a set using a measure, in the current context on the same hierarchy, as the filter expression. I'm using the comparative set as in belonging to the same geographical location, and therefore associating by another attribute.
So, cl as below:
MEMBER [Measures].[RegionPercentileCount] AS Count( Filter( NonEmpty( descendants(Ancestor( [Supplier].[NameMap].CurrentMember, [Supplier].[NameMap].[Region]), [Supplier].[NameMap].[Supplier Id]), [Measures].[ActiveMeasure]) , [Measures].[ActiveMeasure] < ([Supplier].[NameMap].CurrentMember, [Measures].[ActiveMeasure])))
Using the same measure and context hierarchy is always going to be equal, and therefore the count is always zero. Its almost as if I need a nested context for the FILTER which allows me to use enumerate the set on the same hierarchy whilst maintaining the external reference.
I'm thinking that perhaps I'm going to have to create another hierarchy and use that as the filter set and reference through StrToMember or similar.
I have an issue related to SSAS security. We have an SSAS multidimensional cube which needs 3 types of security:
- Access to the entire cube => OK, based upon a role - Restricted access to one department (= dimension) => OK, based upon a role - Access to the entire cube, but with dynamic security on 2 measures.
Let's say, we have 2 departments (food and non-food). Users within food are allowed to see sales and pieces from the food department, but not from the non-food department.
It is not an option to restrict access to the non-food department because there are other measure which they have access to. I tried cell security, but this is very slow and generates multiple empty rows on my selections.
Need to resolve this calculation, which I would believe is something very common on SSAS environments.
Like many companies, my company has different ways of calculating Sales and the two I want to focus are Sales Gross and Sales Net.
At a high level, we calculate Sales Gross as Sales with returns, and Sales Net as Sales without returns.
We have an attribute called Order Type that has various types of orders a user can execute with my company. One of them is Returns. If you return something back to us, we record that as a return line on the sales table. With that, we can calculate that return, breaking data down by Order Type, such as:
Order Type Line Total
Mail Orders $ 776,655.44
Internet Orders $ 2,211,334.00
Call Center Orders $ 11,223,344.00
Credit Orders $ (55,666.00)
Today, to calculate Sales Gross and Sales Net, we are creating two dimensions: DimSalesGross and DimSalesNet.
To calculate Sales Gross, we leave the data at the natural state, not making any changes to mappings.
To calculate Sales Net, we map Credit Orders to Call Center Orders at the ETL level, getting a Net value for sales (Orders - Returns), however, I doubt this is the correct way of doing.
I would like to have a Line Total Net / Line Total Gross calculation, which would be based on the Order Type value.
Perhaps using a CASE statement in MDX? Is the above possible?
I am pretty new to MDX and am having trouble getting what I need out of this MDX query. Some business rules:
Gross Amount applies to all clients, whether Type A or Type B. I always want to return Gross Amount.Some clients are Type A, some are Type B, some are both, and some are neither.There are Type A Net Amount and Type B Net Amount values for all clients, but I only want to display the Type A Net value if the client is a Type A client, only Type B if the client is a Type B, or both for both, and neither for neither. I would like to return blank/null, not $0.00, for those values that should not be displayed.
Here's the basic query.
SELECT { [Measures].[Gross Amount], [Measures].[Type A Net Amount], [Measures].[Type B Net Amount] } ON COLUMNS, NON EMPTY {[Dim Client].[Parent Client Code].[Parent Client Code] * [Dim Client].[Child Client Code].[Child Client Code] * [Dim Client].[Is Type A].CHILDREN * [Dim Client].[Is Type B].CHILDREN } ON ROWS FROM ClientInfo
In SSAS, I want to add a calculated measure and set that measure as the Parent of existing measure. For example I have the measures as A and B from the fact table. Now i want to add a calculated measure as C and set this measure as Parent for measures A and B. How to do that in SSAS.
I am trying to implement data masking based on user login and not sure why this is not working. I have the dimensions DimBrand, DimProduct and DimUser. I should mask the BrandCode with 'XXXX' nothing but in the report all the BrandCode should appear but few of the code will be masked if the user is not belongs to that group. I have a fact table FactProduct in this. In the cube I created all these 3 dimensions and the fact table. I created a new dimension DimBrandMask and I separated the code over there with a relationship with the actual DimBrand dimension. In the cube a reference relationship is set up with the measure group. Created a role with read access.
In the dimension data tab of role I put the below MDX to allowed set.
When i add a dimension to the cube dimension without any relation in my dimension usage to any measure group my units are going down.However when i remove the dimension from the cube am getting the correct values.
I am working on a model where I have a sales fact table. Each fact record has four different customer fields (ship- to, sold-to, payer, and bill-to customer). I have one customer dimension table that joins to the sales fact table four times (once for each of the customer fields above). When viewing the data in Excel, I would like to have four hierarchies (ship -to, sold-to, payer, and bill-to customer) within Customer.
Is there a way to build hierarchies within my Customer dimension based on the same Customer table? What I want is to view the data in Excel and see the Customer dimension. Within Customer, I want four hierarchies.
I am having trouble with a calculation that on the surface seems to be working until it is opened up in excel.
The measure calculates the Actual Value as of last year and is as follows - ([Measures].[Act Val],ParallelPeriod([Time].[Year],1))
This works fine until I look at the totals within EXCEL 2002/2003
1)If I choose to view a whole year then the total shows me a whole year. That is fine and as expected.
2)If I choose part of the year the total shows me the whole year. This is wrong and am wondering if it is an Excel probem or my calculation? But here is the weird part -
3)If I choose another year and select the same months as I have already chosen (ie Year 20023 Jan, Feb and Year 2003 Jan and Feb) then the total for the year that is already selected works!!(shows only the total of the two months - whereas the extra year I have selected (remember - Jan Feb only) shows me a total for the whole year.
WAIT - There's more
4)If I add another month to the 2002 selection (ie add March) then the total for 2003 (Jan Feb only) includes the March value also (even though it is not selected)!!!!!!
Hello! Given three dimensions in my cube (Product, Calendar, & Sales). I'm trying to create a calculated measure that will sum 8 weeks of sales starting from the third week in which sales started. For instance, weeks 1-4 had zero sales. Week 5 is the first appearance of any sales. Therefore, the measure would sum the sales of weeks 7-14 (8 weeks starting with the 3rd week after sales begin).
Any ideas?? Keep in mind that every product is going to be different (sales start in different weeks).
I have a calculated measure that is "Cost Per Patient:=sum([ActualCost]) / sum(Patients[PatientCount])" and it works fine. I'd like to be able to create another calculated measure based on "cost per patient" that uses min, max and average of "cost per patient" but dax wont let me.
I've read about dax calculate but not sure how to use it in my situation. Here is background on the problem:
There are 2 fact tables, prescription cost and patient count. Both are related by a practice dimension. The practice dimension has a geography hierarchy of county - town - practice.
The "Cost Per Patient" works fine with the geography hierarchy. By that I mean it shows the correct value when looking at the different levels. For my new calculation, for example looking at the list of counties, I want to use the min, max and average of "Cost Per Patient" of all counties. To break the problem down, I was going to start with creating and testing separate calculated measures for min, max and average and that's where I am stuck.
My understanding of the problem is it's something to do with the context of where the calculation is being made. As I want to perform the min, max and average on all the children of the parent. This article explains it but I can't figure out how to apply it to my situation [URL] ....
We have a client that wants to take the Max value of a count at the Product level, but then for each Brand (Parent of product), sum the Max values for that particular slice. The example below shows the Max sales per month over the last 6 months.
Prod1 had it's best month in Month2 (20 units) and Prod2 had its best month in Month4 (30 units). Brandx should roll up to 50 units. Can DAX handle this in a single Calc Measure?
I have a calculated measure in Power Pivot that takes too long to run that it would max out my RAM when running it in Excel 2016 (for some reason it actually manages to run in Excel 2013 but still takes a long time). How to optimise the measure? I have shared the measure below. it is the Unique Leads (MTD) measure that I need to run in a pivot table that is broken down by everyday in a month. The Unique Leads (MTD) measure basically calculates the month-to-date unique leads where a unique lead is defined as an email address that has not appeared in the 'application' table thus far in a particular month.
I am a newbye with Analysis Services and am desperately trying to find a way to include a calculation between one of my measures (Teus), divided by the vessel capacity, where vessel is one of my dimensions (and is therefore not depended on other dimensions...)
Any ideas how I could implement that ?? This would help a lot, thanks for your help,
I try to calculate the turnover of an employee based on all sales on this customer and the hours spends working for this customer.To simplify, I have 2 tables.General Ledger table.I have customer no and sales.And activity table,I have customer no, hours and users.To be able to calculate the average of a customer, I made an average value based on the sales/divided by the hours on activity table.Customer 1 sales of 100$.Value of the customer is 10$/H -> John 40$ / Mike 60$.How can I use the information 10$/h to use it with the hours from a employee.
Robert Bruckner [MSFT] in his response to "This field is missing from the returned result set" says that rsMissingFieldInDataSet is "only a warning"
I have a report with 7 simple calculated measures to show counts for 7 ratings: ([Measures].[Score Card Count],[Attainment].[Attainment - ATTAINMENT].<rating>).
6 measures work fine; one, for which there is no rating in the fact table returns rsMissingFieldInDataSet warning. Even worse, if I use this field in an expression in the report with other measures, the return is always nothing.
In other words, although this is "only" a warning, it actually causes errors by not returning values from expressions.
I tried to check for null/nothing but could not prevent "breaking" the expressions. Any ideas?
I've created a calculated measure which is a division between 2 other measures which i also have displayed in the cube. of course as soon as there is some level of aggregation, the shown result is an averaged division and therefore is wrong.
here is some example: A 16874 B 956 C 1354 D 264 E 103 F 81 G 6 H 3 X 23 Total 5198.36...
here the wanted result would be a simple some of all the other values (=19664)
How could i treat totals/aggregation differently or have any good way of solving this issue? I know there is the aggregatefunction propertie for normal dimension, but i'm not familiar with calculated measures and it seems properties that can be accessed through BIStudio's interface is rather limited.
thanks a lot in advance for your help. I've been looking for tweaks on the data to trick the cube, but couldn't find any way of getting the result i'm looking for.
I am a newbye with Analysis Services and am desperately trying to find a way to include a calculation between one of my measures (Teus), divided by the vessel capacity, where vessel is one of my dimensions (and is therefore not depended on other dimensions...)
Any ideas how I could implement that ?? This would help a lot, thanks for your help,
A Store A L 100 6 600 A Store A S 150 4 600 A Store A M 160 7 1120 B Store A L 640 15 9600
[Code] ...
Ignoring that gives another figure for productgroup B. In the pivot, I should see both measures at whatever attribute, except for the measure that excludes color will be null if tried split on color
ProductGroup Amount Quantity (ProductGroup, Color, Store, Size) (ProductGroup, Store, Size) A 410 17 2320 2320 B 640 15 2820 9600 C 170 5 430 430