Crosstab Alternate Hierarchies Of An MSAS Cube Using Cognos

May 5, 2005

Good day all

I am unable to crosstab different alternate hierarchies of an MSAS cube from a single dimension, I'm using Cognos Powerplay (7.3 web and client) to browse the data. v 7.1 displays the same behaviour.

When I try to create the crosstab the display replaces both rows and columns to the alternate path, it overwrites the original path. Can anyone tell me if this is a Cognos issue or an Analysis services one and if there is any way around it. The only solution I have at the moment is to bodge it by creating seperate dimensions for each alternate hierarchy however this is ugly and difficult to use.

Regards
Mike

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I am a Cognos developer (10 years) and am frustrated with the apparent lack of MSAS ability to replicate Cognos measure scope / allocation features.

I have built three cubes, Sales Info, Store Count, and Date Count and wrapped these into a virtual cube (Sales Reporting). Both the Store Count and Date Count cubes have just a single dimension and a single measure each (Distinct counts of Stores and of Days respectively), this is my attempt at replicating the use of several fact queries with differing scope in Cognos Transformer. In my virtual cube I wish the distinct counts to be allocated constantly within dimensions that are out of scope. For instance if I have product categories as rows and my measures as columns then I wish to see the total number of stores on each row and the number of days in the date range so that I can calculate a few ratio's. I do not wish to see the number of stores that sold products in each category or the number of days products in that category were sold, which is what I see if I use distinct count measures in a cube with the exact same dimensionality.


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TIA

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May 5, 2006

Hi,

I have the following table:
OrderNumber varchar(15)
Completed int(1)
Certificate int(1)
ThroughputTime int(4)

With the following data:
OrderNumber Completed Certificate ThroughputTime
00001 1 1 1
00002 1 1 2
00003 1 0 1
00004 1 0 1
00005 0 1 2
00006 0 1 1
00007 0 0 4
00008 0 0 89

I have a dimension:
All Completed
- Completed
- Not Completed

and a dimension:
All Certificate
- No Certificate
- Certificate

I also have a measures:
TptSum which Sums ThroughputTime
TptCount which Counts OrderNumbers
TptAvg which divided TptSum by TptCount

My problem is with the next measure:
In MSAS I created a Cube which shows the measures on the columns and both Completed and Certificate on the rows. The OrderNumber selection is set to "All Ordernumbers". The measures a listed above are displayed exactly as i expect them to do. TptSum gives the sum for the subselection showed on the left. TptCount and TptAvg also show the expected values on their distinct rows.
I can't upload a screenshot but it looks like this:


TptSum TptCount TptAvg
All Certificate All Completed 101 8 12.63
Completed 5 4 1.25
Not Completed 96 4 24.00
No Certificate All Completed 95 4 23.75
Completed 2 2 1.00
Not Completed 93 2 46.50
Certificate All Completed 6 4 1.50
Completed 3 2 1.50
Not Completed 3 2 1.50

So far so good. Each datarow only takes the records that match the criteria at the left.
Now however, To exclude exceptions that have a huge impact on the average I want to create a trimmed average. That is, I want to exclude the top 25% values in my trimmed average measure, which are the 2 records with the highest ThroughputTime, being ordernumber 00007 and 00008 in the "All Certificate" & "All Completed" row, but different in the other rows. I also want the bottom 25% values to be trimmed, which are the 2 records with the lowest ThroughputTime, being ordernumber 00001 and 0003 in the "All Certificate" & "All Completed" row.

I tried a lot of things, but i can't get it working. Somehow all my statements don't take the subselections on the rows into account. Really frustrating.

What I want to achieve is the following:

TptSum TptCount TptAvg TrimmedAvg
All Certificate All Completed 101 8 12.63 1.50 ((2+1+2+1) / 4) (middle 4 records)
Completed 5 4 1.25 1.00 ((1+1) / 2) (middle 2 records)
Not Completed 96 4 24.00 3.00 ((2+4) / 2) (middle 2 records)
No Certificate All Completed 95 4 23.75 2.50 ((1+4) / 2) (middle 2 records)
Completed 2 2 1.00 1.00 ((1+1) / 2) (all 2 records)
Not Completed 93 2 46.50 46.50 ((4+89) / 2) (all 2 records)
Certificate All Completed 6 4 1.50 1.50 ((1+2) / 2) (middle 2 records)
Completed 3 2 1.50 1.50 ((1+2) / 2) (all 2 records)
Not Completed 3 2 1.50 1.50 ((1+2) / 2) (all 2 records)

I hope I describe my problem well... I also hope someone knows a solution. I can also post the things I tried, but I'm afraid that makes it more confusing, because nothing worked ;)

Thanks,

Edward

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May 5, 2006

Hi,

I have the following table:
OrderNumber varchar(15)
Completed int(1)
Certificate int(1)
ThroughputTime int(4)

With the following data:
OrderNumber Completed Certificate ThroughputTime
00001 1 1 1
00002 1 1 2
00003 1 0 1
00004 1 0 1
00005 0 1 2
00006 0 1 1
00007 0 0 4
00008 0 0 89

I have a dimension:
All Completed
- Completed
- Not Completed

and a dimension:
All Certificate
- No Certificate
- Certificate

I also have measures:
TptSum which Sums ThroughputTime
TptCount which Counts OrderNumbers
TptAvg which divides TptSum by TptCount

My problem is with the next measure:
In MSAS I created a Cube which shows the measures on the columns and both Completed and Certificate on the rows. The OrderNumber selection is set to "All Ordernumbers". The measures as listed above are displayed exactly as I expect them to do. TptSum gives the sum for the subselection showed on the left. TptCount and TptAvg also show the expected values on their distinct rows.
I can't upload a screenshot but it looks like this:


TptSum TptCount TptAvg
All Certificate All Completed 101 8 12.63
Completed 5 4 1.25
Not Completed 96 4 24.00
No Certificate All Completed 95 4 23.75
Completed 2 2 1.00
Not Completed 93 2 46.50
Certificate All Completed 6 4 1.50
Completed 3 2 1.50
Not Completed 3 2 1.50


So far so good. Each datarow only takes the records that match the criteria at the left.
Now however, To exclude exceptions that have a huge impact on the average I want to create a trimmed average. That is, I want to exclude the top 25% values in my trimmed average measure, which are the 2 records with the highest ThroughputTime, being ordernumber 00007 and 00008 in the "All Certificate" & "All Completed" row, but different in the other rows. I also want the bottom 25% values to be trimmed, which are the 2 records with the lowest ThroughputTime, being ordernumber 00001 and 0003 in the "All Certificate" & "All Completed" row.

I tried a lot of things, but i can't get it working. Somehow all my statements don't take the subselections on the rows into account. Really frustrating.

What I want to achieve is the following:

TptSum TptCount TptAvg TrimmedAvg
All Certificate All Completed 101 8 12.63 1.50 ((2+1+2+1) / 4) (middle 4 records)
Completed 5 4 1.25 1.00 ((1+1) / 2) (middle 2 records)
Not Completed 96 4 24.00 3.00 ((2+4) / 2) (middle 2 records)
No Certificate All Completed 95 4 23.75 2.50 ((1+4) / 2) (middle 2 records)
Completed 2 2 1.00 1.00 ((1+1) / 2) (all 2 records)
Not Completed 93 2 46.50 46.50 ((4+89) / 2) (all 2 records)
Certificate All Completed 6 4 1.50 1.50 ((1+2) / 2) (middle 2 records)
Completed 3 2 1.50 1.50 ((1+2) / 2) (all 2 records)
Not Completed 3 2 1.50 1.50 ((1+2) / 2) (all 2 records)

I hope I describe my problem well... I also hope someone knows a solution. I can also post the things I tried, but I'm afraid that makes it more confusing, because nothing worked ;)

Thanks,

Edward

PS. newbie alert! :beer:

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Best regards,
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Feb 6, 2005

As promised, question #2... ;)

As I mentioned in my previous post, my "real" case is a cube with 79 dimensions, most of which virtual, have been added for convenience.

Think for instance about a time dimension... Wouldn't it be nice to get a matrix with years horizontally, months vertically and displaying say the number of order you had for each cell in the resulting grid.
Ok, maybe you can do this with MDX but not in Excel, unless you create virtual dimensions for the Year and Month levels.

That's all good, but as it is, in my real case, I end up with four date dimensions for which I have to provide:

YQMD (Year, Quarter, Month & Day) hirarchized dimension
YWD (Year, Week, Day)
YQMD (Fiscal calendar)
Year
Quarter
Month
Week
Day (as 1, .. 31)
Week Day (for periodicity analysis over a week's time)
Date (as individual day - this is the backbone for the virtual dimensions)

It turns out this makes 40 dimensions by itself. For the sake of it, I grouped them by 4 hierarchies, although I've seen no specific functionality off of this in the data browser or Excel, so it really seems to be only for "show".

Now in my previous post I explained how I "spread" my session count to calculate a conversion rate. Given the number of dimensions I have (very high segmentation at the order level, very limited segmentation at the session/visit level), this means my calculated cell formula looks like this (hold your breath, it's ugly):

SubCube: {[Measures].[Session Count]}, DESCENDANTS([Business Unit].[All]), DESCENDANTS([Channel Source].[All]), DESCENDANTS([Currency].[All]), DESCENDANTS([FO Product Segment].[All]), DESCENDANTS([FO Quarter].[All]), DESCENDANTS([FO Value Segment].[All]), DESCENDANTS([Is Cancelled].[All]), DESCENDANTS([Is Customer Care].[All]), DESCENDANTS([Is Design Services].[All]), DESCENDANTS([Is Direct].[All]), DESCENDANTS([Is Estimated].[All]), DESCENDANTS([Is Holiday Order].[All]), DESCENDANTS([Is New].[All]), DESCENDANTS([Is Sales Services].[All]), DESCENDANTS([Language].[All]), DESCENDANTS([Payment].[All]), DESCENDANTS([Product Segment].[All]), DESCENDANTS([Value Segment].[All]), DESCENDANTS([FO Channel].[All]), DESCENDANTS([Reg Channel].[All]), DESCENDANTS([FCD].[Date].[All]), DESCENDANTS([FCD].[Day].[All]), DESCENDANTS([FCD].[Mth].[All]), DESCENDANTS([FCD].[Qtr].[All]), DESCENDANTS([FCD].[Wk].[All]), DESCENDANTS([FCD].[WkDay].[All]), DESCENDANTS([FCD].[Year].[All]), DESCENDANTS([FCD].[Fiscal].[All]), DESCENDANTS([FCD].[YMQD].[All]), DESCENDANTS([FCD].[YWD].[All]), DESCENDANTS([FRD].[Date].[All]), DESCENDANTS([FRD].[Day].[All]), DESCENDANTS([FRD].[Mth].[All]), DESCENDANTS([FRD].[Qtr].[All]), DESCENDANTS([FRD].[Wk].[All]), DESCENDANTS([FRD].[WkDay].[All]), DESCENDANTS([FRD].[Year].[All]), DESCENDANTS([FRD].[Fiscal].[All]), DESCENDANTS([FRD].[YQMD].[All]), DESCENDANTS([FRD].[YWD].[All]), DESCENDANTS([FSD].[Date].[All]), DESCENDANTS([FSD].[Day].[All]), DESCENDANTS([FSD].[Mth].[All]), DESCENDANTS([FSD].[Qtr].[All]), DESCENDANTS([FSD].[Wk].[All]), DESCENDANTS([FSD].[WkDay].[All]), DESCENDANTS([FSD].[Year].[All]), DESCENDANTS([FSD].[Fiscal].[All]), DESCENDANTS([FSD].[YQMD].[All]), DESCENDANTS([FSD].[YWD].[All])

Caculation Value: CalculationPassValue(([Business Unit].[All],[Channel Source].[All],[Currency].[All],[FO Product Segment].[All],[FO Quarter].[All],[FO Value Segment].[All],[Is Cancelled].[All],[Is Customer Care].[All],[Is Design Services].[All],[Is Direct].[All],[Is Estimated].[All],[Is Holiday Order].[All],[Is New].[All],[Is Sales Services].[All],[Language].[All],[Payment].[All],[Product Segment].[All],[Value Segment].[All],[FO Channel].[All],[Reg Channel].[All],[FCD].[Date].[All],[FCD].[Day].[All],[FCD].[Mth].[All],[FCD].[Qtr].[All],[FCD].[Wk].[All],[FCD].[WkDay].[All],[FCD].[Year].[All],[FCD].[Fiscal].[All],[FCD].[YMQD].[All],[FCD].[YWD].[All],[FRD].[Date].[All],[FRD].[Day].[All],[FRD].[Mth].[All],[FRD].[Qtr].[All],[FRD].[Wk].[All],[FRD].[WkDay].[All],[FRD].[Year].[All],[FRD].[Fiscal].[All],[FRD].[YQMD].[All],[FRD].[YWD].[All],[FSD].[Date].[All],[FSD].[Day].[All],[FSD].[Mth].[All],[FSD].[Qtr].[All],[FSD].[Wk].[All],[FSD].[WkDay].[All],[FSD].[Year].[All],[FSD].[Fiscal].[All],[FSD].[YQMD].[All],[FSD].[YWD].[All],[Measures].[Session Count]), 0)

If you read all this, you can see already the cryptic dimension names like "FRD", "FSD" and so forth... that's because with the real names ("First Refund Date", "First Ship Date", the query processor errored out... visibly there is a limit in the size of the formulas you can post!

Is there no other way to achieve this result? Basically I mean to say: if the session count is not defined at your level along this dimension, go to the root of the dimension to get the value there, this along a slew of dimensions, many of which are inherently dependent because of the usage of virtual dimensions (therefore if I wish to go to the root of my "First Refund Date" for instance, I wish to do so along all sub-dimensions... Heck, as far as I'm concerned this is conceptually only ONE dimension, just with various views upon it...

Using hierachies I was sort of hoping for the ability to have something like:
[FRD].[All Hierachies].[All]

Am I just asking for too much or do I just not know (quite probable) the magic keyword that can do this?

Where this is becoming quite critical is that I actually have a calculated cell that goes as follows (abridged):

SubCube: similar as before

Calculation: [Measures].[Order Count]*CalculationPassValue((...set of all un-tied dimension roots..., [Measures].[Distributed Marketing Cost])/CalculationPassValue((...set of all un-tied dimension roots..., [Measures].[Order Count])

Now the purpose of this is to distribute external costs at the order level. In short, say that you know you spent $10,000 globally promoting a specific group of websites in commission money (you pay $1 for each order). This formula allows me to get that a specific website, with 20 orders incurred an additional marketing cost of $20. That's actually the object of my next thread's question (spreading a multiplication through the aggregations)

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Any better solution?

Thanks,

Seb

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Sep 23, 2015

I have an existing MDX query returning the correct resultset. However, I want to add a filter so that for a combination of value in Hierarchy1 and Hierarchy2, the data is filtered out.

For example I have data like

H1    H2   Amount
1      1      100
2      1      50
3      1     45

I am getting a value of 100+50+45=195.

I want to filter the data for the combination H1=3 and H2=1. Expected result would be 100...

H1    H2   Amount
1      1      100
2      1      50

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DB Design :: Implementing Hierarchies In Server

Jun 12, 2015

I want to be able to implement infinite levels of Hierarchies in SQL Server (2012), in addition to being able to address issues like same child having more than one parent (eg. An Employee could end up having 2 different managers - eg. Project Manager,  Delivery Manager).

One way is to have self referencing table (where each row has a parent id , referencing to a parent record - but this would not work in cases where a child  has more than 1 parent).

Are there other more efficient ways? What is the best way to implement this?

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Managing Hierarchies In Dimension Tables

Apr 20, 2006

I am currently looking at the capabilities in SSIS from the point of view of an ETL developer who has worked with other products eg. Informatica, Cognos DecisionStream and one of things I note is a lack of support for dimensional hierarchies.

It appears that MS have assumed that SSIS users will automatically use SSAS.

We use Hyperion Essbase. Other sites have Cognos or Business Objects for their OLAP/BI.

I would like to be able build multi-level dimension hierarchies directly from within SSIS.

Has MS considered this for future versions?

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SQL 2012 :: SSAS Hierarchies For Unrelated Fields?

Mar 12, 2015

I've built a robust looking Calendar dimension but that's easy because its all so well structured. Every date belongs to a particular week and every week belongs to a particular month and every month belongs to a particular quarter etc. January 1st is always going to be a member of week 1, month 1, quarter 1.But here's the rub, real life isn't as predictable and stable as a calendar.

Lets say you have an table containing personal information. You might have gender and marital status in there and even though they both relate to one person, they're unrelated to each other so how do you put those in a hierarchy? Which one goes first and which second because you can get combinations of either.

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Populate Dropdown List With Dimension Hierarchies

Dec 17, 2006

Hi,

I am currently trying to develop an application which would help in retrieving data from cubes (Microsoft Analysis Services)! The user would not be accessing the Business Intelligence Studio, etc. but would be viewing the data from a custom made application developed in VB.Net2005.

While implementing this, I want to populate the drop-down-list in the VB(.Net) Form, by retrieving the various hierarchies in the dimensions of the cubes (along with dimensions if possible). This should be done dynamically and in real-time!

Can you please help in implementing this? Any code/method, etc would be highly appreciated!

Thanks in advance.

Best wishes!

(Software : SQL Server 2005 Enterprise Edition (with Analysis Services and BI Studio), VS.Net 2005 Enterprise Edition, ADOMD.Net)

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GetSchemaDataset For Cube Restriction With Space In The Cube Name

May 27, 2008

When I make a call to GetSchemaDataset with a restriction of a cube name with a space in the name of the cube the call fails. Following is a sample of the code: adoRestriction = new AdomdRestriction("CATALOG_NAME", "Contoso Telecom_Contoso"); adoRestrictions.Add(adoRestriction); dataSet = conn.GetSchemaDataSet("MDSCHEMA_CUBES", adoRestrictions); I am running SQL Server 2005 Analysis Services SP2. Is there some way to qualify the cube name in the restriction or is this just a bug? Thanks.

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