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)!!!!!!
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.
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 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])} ) Â on 1
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.Â
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.Â
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?
Brandx         50    Prod1       20    Prod2       30 Brandy         60    Prod5       40    Prod6       20
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 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 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'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.
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 the following scenario. I want to apply some calculations on different levels and then aggregate them up.
First measure calculates at Productgroup,color,store,size level
ProductGroup Color Store Size Amount Quantity
Measure:Amount*Quantity  (ProductGroup, Color, Store, Size)
A Blue Store A L 100 6 600 A Red Store A S 150 4 600 A Green Store A M 160 7 1120 B Blue Store A L 300 3 900
[Code] ........
The other measure ignores color
ProductGroup Store Size Amount Quantity
Measure:Amount*Quantity  (ProductGroup, Store, Size)
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, Â Size) (ProductGroup, Store, Size) A 410 17 2320 2320 B 640 15 2820 9600 C 170 5 430 430
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.
I need to create a measure that tells me how many customer's placed an order in the previous 91 days of any given date, not necessarily today.Â
So, if you imagine a PivotTable which has a series of dates down the left hand side and 'totalNoCustomersLast60Days' as the only column, I need each day to tell me how many customers ordered in the x number of days.
For example if we say 60 days my table would look like the following:
Each row in this table would be telling me that "x number of customers placed orders within the period 60 days prior to,and including, the date on the left".
I have tried numerous ways of doing this and despite thinking it should be incredible simple it eludes me.
I am wondering how to create a matrix that contains 1 dimension for Top Label (Column), let's say "Year-Month" and then 2 Measure to be in the row format rather than columnar format. Example as below : Year-Month on the column, and the measure is on the row :
2007-04 2007-05 2007-06
Amount Sales 1000 2000 3000
Unit Sales 10 20 30
Total 1010 2020 3030
Please share with me if you have this solution in Reporting services as it works in excel, hyperion brio, bo, cognos but somehow cannot see that function in Reporting Services.
TRANAMT being the amount paid & TOTBAL being the balance due per the NAMEID & RMPROPID specified.The other table includes a breakdown of the total balance, in a manner of speaking, by charge code (thru a SUM(OPENAMT) query of DISTINCT CHGCODE
Also with a remaining balance (per CHGCODE) column. Any alternative solution that would effectively split the TABLE1.TRANAMT up into the respective TABLE2.CHGCODE balances? Either way, I can't figure out how to word the queries.
I have a dimension called "Movement rate". The members are "1" to "6". There is a measure called "No. of Products".
What i easily like to do is showing the percentages "No. of Product" for each "Movement rate" of the amount of "No. of Products" without using the frontend-tool.
There is count measure in the cube. I need to create a dimension that should list the range of values based on that count values: Exp:
0-99 100-199 200-399 ... .... .. and so on. User wants to pick the any range level in the dimension and cube should show corresponding cell values of count measure which would fall into range of the dimension level value. For example: if user picks up level 100-199 then cube would filter cell values of measure that has a value between 100 and 199 within 12 month range. So, it would be year to date value of the measure. My problem is how go about creating Dimension that based on measure in the cube and dimension should have level with range of measure values. Any hint would be appreciated greatly. Thank You.
for a calculated measure I need the total sum of a measure in different dimension. So for example I want to get in my first dimesion 1500 as my sum and in my second dimension too. Is there a way to get it? (FirstDimension.CurrentMember.Parent, [Measures].myMeasure) doesn´t work!
Hi, I am newbie in Analysis services. My problem is that I have to show a yearly report for credit expiry. In my fact table the measure is credit rate. I have attributes of start_day_key and end_day_key. Now when I go through analysis services it does not let me create a measure so that I can count end_day_key for a year (end_day_key is linked to day table with daykey. It has date) and show. The thing is the measure I want is not stored (i.e: the count of end days for a year ). How do I go about it?
Should I create a calculated cell? (I tried that, but mdx does not work) I used : Count({[Measures].[End Key]})< 366 Now this is not wha I want, I want the end_key count by matching date in day dimension for the current year? Any help is greatly appreciated.
I have a dataset that needs to return "Fatalities Involving drivers age 15-17". For years 2003 , 2004, 2005.
So i set up 3 different filters: Year : 2003,2004,2005
Person type: Driver
Age : 15,16,17
Now this is fine for getting a crash count and fatalities (for teen drivers). But i want the fatalities for everyone ( All Person Types) and (All Ages) ...how do i go about this. All i get right now, is the fatalities for Drivers 15-17.
I need to create one or two tables in the database. There are a few ways I can design these tables, so I€™d like to measure data loading performance. My primary concern is level of IO generated by SELECT. I don€™t expect CPU utilization to have any meaningful impact, but it would be nice to know how to measure processor utilization as well. PerformanceMonitor application is not really an option, because it measures IO and CPU at SQL Server process level. My development box is not going to match production boxes, so I would like to measure IO in terms of amount of data loaded from disks instead of timing stored procedure execution. The same is true for stored procedure CPU utilization. It is my understanding that SQL Server keeps table content loaded in memory as much as possible to improve performance. How do I negate effect of caching on my IO numbers?
I have created a table in the sql server 7.0 and I wanted to know the what is the size of the table, is there any storeprocedure or command that can be used to measure the space used by the table in the database
