I hope someone has a clue how to solve this issue.
I have two fact tables one with revenue per company, year, catalogue_no and revenue and the other with company, year and customer_base.
I want to combine these measures in an analysis but the catalogue_no is not part of the customer_base table.
What I've achieved so far, by setting the right levels in BMM, is that I can put the catalogue_no in the filter criterias and get the result that all figures are shown correctly.
As soon as I place the dimension catalogue_no into the selected columns the customer_base is only blank.
See the picture for Explanation. Link
You have to put the content level for the non-conformed dimension to the "Grand Total" level
Related
I'm pretty new to SSAS and i have encountered a quite odd issue. The simple SUM function in OLAP cube shows wrong numbers based on the dimension usage.
I have created simple OLAP cube in SSAS, which tracks fuel payments across company car fleet. Data source is a SQL database server, and I use table "purchase" (contains information of amount of fuel bought, paid price, location of purchase etc.) as a measure and tables "car" (information about car type, its registration ID etc.), "location" (plant location the driver originates from) and "division" as dimensions.
When I first connected all dimensions to the measure on the "Dimension usage" tab, I got wrong sum of the price paid and amount of fuel bought - the sum displayed was much lower than the actual one. I tried to look into it and the numbers were wrong as well if i looked at the data by division, location etc.
But when I used the "Car" dimension and created table showing the data for each individual car, the results were correct, which I find weird.
When I disconnected the "Car" dimension from the measure group, the totals in the cube were correct, but i was (of course) unable to look at individual numbers for each car.
I understand that there is some problem with the "Car" dimension, but I am unable to find out what exactly goes wrong. Any advice helping me to identify where to look would be much appreciated. Thanks in advance.
(This is a mock of my actual setup to help me figure out the problem.)
I have one fact table and one dimension table, linked by an id field.
My goal is to make a measure that sums up all "thing_count" (integer) values in my cube.
If the user splits by nothing, it should show the total "thing_count" for all records in the fact table. If it's split by "category_name" from the dimension, it should show the total "thing_count" for each category.
I tried to achieve this by creating a SUM measure in my cube:
It works, but not in the way I intend it to
It always shows (null) unless I drag in the "id" field from the dimension.
Measure only:
Measure and category:
Measure, category, and id:
How can I make the measure show the value without keys needing to be present?
Edit:
For GregGalloway's request (I've edited the names so the screenshots are easier to follow):
One common explanation for this behavior (no aggregation) is that you have inadvertently commented out the CALCULATE; statement in your MDX script in the cube. Please check that statement is still present.
I am very new to Tableau (first day user) and have been a long time Excel user. I am trying to fully understand the power of Tableau to eventually move away from Excel.
I have a question concerning dimensions and creating a calculated field.
My table has multiple categories and sub-categories. My goal is to display the total revenue and average order value per chosen sub-category (this seems easy enough).
I want to then take those sub-categories and show a combined sum of revenue and average of the average order value. I am stuck on trying to also combine these sub-categories to show a blended view.
Furthermore, the 2 sub-categories are weighted very differently. The average order value of 1 has a much heavier weight than the other and will definitely affect the AOV when combined. How do you also assign a weight to this combined total?
Any help will be much appreciated. I know this may be a rather simple solution but I am new to the program and am having difficulty finding this answer.
Tableau screen:
or
img1 http://postimg.org/image/dq5wqgnyl/
Best,
CR
Put sub categories in the rows column.
Put sum revenue in the text pill in the marks section
In the analysis tab on the top select column grand totals.
I'm unable to see your images,i hope this answers a apart of your question.
I have ssas DB with two cubes, they share the date dimension.
My query shows users on the dimension and visit as a measure. In the where clause I have range of dates.
I have this strange behavior that after a FULL cube process I don't see any data when applying the range. I'm sure that I have data for the range because when I filter each day desperately I can see data.
Another weird scenario is that if the date is on the dimension I can see data.
The thing that solve it is when process DATA the cubes.
This my query:
select non empty [Users].[User].[User] columns,
{[Measures].[Visits]} on rows
from [System Visit] where
([Dim_Date].[Georgian Calendar].[Date ID].&[20150125]:[Dim_Date].[Georgian Calendar].[Date ID].&[20150202])
Any thought what can be the issue?
Thanks
If you dont have the borders defined then your filter will work like NULL:a, b:NULL, or NULL:NULL depending on availability of border in the cube.
In this case, I would suggest all possible dates into your [Dim_Date].[Date ID] attribute.
I need to build a named set with mdx which tells me for a whole year what which are the large records. I cannot share my data, so I'll use a sales example.
All sales reps. need to enter their sales numbers in a application and on top of that database there is a cube configured. One of the goals is to find weird sales behaviour in this cube. This would mean a sales rep that is selling 100k every year, suddenly only sells 30k a year.
I have created a dynamic set that allows me to filter on this by using a calculated member named 'qualifies'. This qualifies is defined like this. (Diff is calculated before)
CREATE MEMBER Currentcube.qualifies AS iif(abs([Diff]) > 50000, 1, NULL),DISPLAY_FOLDER = 'Check big difference';
So this check can be used to filter all the sales reps that have a difference of 50k sales.
When I add aonther filter to my cube, for example region, the 50k threshold will never be exceeded, because no body has more than 50k sales in one region. I want to make the 50K dynamic based on my where clause in my filter.
My question is, is this possible? I'm fairly new to MDX so if this is an easy question, please forgive me. I have been trying lots of different scenario's but none gave a wanted result. I have been looking online, but this specific scenario hasn't passed in my search results.