Conformed / nonconfirmed dimensions and multiple facts

Question

Hi all,
There have been plenty of posts on this issue, I've read a lot about it, but still can't get this working. We're looking at a basic marketing process where we can track the links that have been clicked in marketing emails that have been sent out. What I have is two fact tables, with one conformed dimension between them, and one of the facts having a non-conformed dimension:
Fact 1 linked to Dim - Links
Fact 2 linked to Dim - Links; Dim - Email Name;
In Fact 1 i have defined a measure that counts the number of links clicked
In Fact 2 i have defined a measure that counts the number of links
So, I can take fields from Dim - Email Name, and Fact 2 and this will correctly show me the number of links in that email. I can add in the Link Name from Dim - Links to give me the detail of the links in the email. However, when I then add the # of links clicked from Fact 2, this is shown as zero. Removing the Email Name will cause the # of clicks to be displayed correctly for each link.
I've read this post here:
report based on 2 different Fact tables
which seems to contain my exact problem, but the solution listed hasn't worked for me. I've created hierarchies, set the LTS of Fact 1 to be Detail for Dim - Links, and the LTS of Fact 2 to be Detail for Dim - Links and Dim - Email Name. This doesn't work. I've then set the LTS of Fact 1 to be Total for Dim - Email Name. this doesn't work. I've then set the LTS for the dimension tables to be detail in each case, and this doesn't work either. My business question is pretty simple - for each email, list the links and how many times that link was clicked.
I've started from scratch, I'm only looking at these 4 logical tables, I've got to the stage where I'm restarting BI after every change but I still can't see the problem. Can anyone give me any guidance please?
thanks
Matt

Answer 1

Hi Wildmight,
apologies for not posting for a few days, I've been out of the country. I've just tried all these, with no joy. At the moment then, I have one single Fact table, with two logical sources, LINKS_FACT and CLICKS_FACT. I've set the LTS for LINKS_FACT to be Email Detail and Link Detail, and the LTS for CLICKS_FACT to be Link Detail and Email Total. The single Fact table now has two measure columns, one a count distinct on linkid and one a count on the clicksid.
When I go into answers, I select an email title of May Newsletter, choose the link name, and then select the # of links and number of clicks. The log for this query is:
-------------------- SQL Request:
SET VARIABLE QUERY_SRC_CD='Report';SELECT "Dim - Emails".TITLE saw_0, "Dim Links"."Link Name" saw_1, "Fact - Links"."# of Links" saw_2, "Fact - Links"."# of Clicks" saw_3 FROM "CRM 2.0" WHERE "Dim - Emails".TITLE = 'May Newsletter' ORDER BY saw_0, saw_1
+++Administrator:2a0000:2a0007:----2009/05/19 10:05:08
-------------------- General Query Info:
Repository: Star, Subject Area: CRM 2.0, Presentation: CRM 2.0
+++Administrator:2a0000:2a0007:----2009/05/19 10:05:08
-------------------- Logical Request (before navigation):
RqList
Dim - Emails.TITLE as c1 GB,
Dim Links.Link Name as c2 GB,
# of Links:[DAggr(Fact - Links.# of Links by [ Dim Links.Id, Dim - Emails.Id] SB Dim - Emails Detail,Dim Links Detail)] as c3 GB,
# of Clicks:[DAggr(Fact - Links.# of Clicks by [ Dim Links.Link Name, Dim Links.Id, Dim - Emails.Id, Dim - Emails.TITLE] )] as c4 GB,
Dim - Emails.Id as c5 GB,
Dim Links.Id as c6 GB
DetailFilter: Dim - Emails.TITLE = 'May Newsletter'
OrderBy: c1 asc, c2 asc
+++Administrator:2a0000:2a0007:----2009/05/19 10:05:08
-------------------- Execution plan:
RqList <<3688>> [for database 3023:15084:CRM,31]
D1.c1 as c1 [for database 3023:15084,31],
D1.c2 as c2 [for database 3023:15084,31],
D1.c3 as c3 [for database 3023:15084,31],
D1.c4 as c4 [for database 3023:15084,31]
Child Nodes (RqJoinSpec): <<3705>> [for database 3023:15084:CRM,31]
RqList <<3573>> [for database 3023:15084:CRM,31]
D1.c2 as c1 GB [for database 3023:15084,31],
D1.c3 as c2 GB [for database 3023:15084,31],
D1.c1 as c3 GB [for database 3023:15084,31],
cast(NULL as INTEGER ) as c4 GB [for database 3023:15084,31],
D1.c4 as c5 GB [for database 3023:15084,31],
D1.c5 as c6 GB [for database 3023:15084,31]
Child Nodes (RqJoinSpec): <<3679>> [for database 3023:15084:CRM,31]
RqList <<3738>> [for database 3023:15084:CRM,31]
count(distinct CRM_LINKS_FACT.ID by [ CRM_LINKS.ID, CRM_EMAILS.ID] ) as c1 [for database 3023:15084,31],
CRM_EMAILS.TITLE as c2 [for database 3023:15084,31],
CRM_LINKS.NAME as c3 [for database 3023:15084,31],
CRM_EMAILS.ID as c4 [for database 3023:15084,31],
CRM_LINKS.ID as c5 [for database 3023:15084,31]
Child Nodes (RqJoinSpec): <<3658>> [for database 3023:15084:CRM,31]
CRM_LINKS T26115
CRM_EMAILS T26105
CRM_LINKS T26129
DetailFilter: CRM_EMAILS.ID = CRM_LINKS_FACT.EMAILID and CRM_EMAILS.TITLE = 'May Newsletter' and CRM_LINKS.ID = CRM_LINKS_FACT.ID [for database 0:0]
GroupBy: [ CRM_EMAILS.ID, CRM_EMAILS.TITLE, CRM_LINKS.ID, CRM_LINKS.NAME] [for database 3023:15084,31]
) as D1
) as D1
OrderBy: c1 asc, c2 asc [for database 3023:15084,31]
+++Administrator:2a0000:2a0007:----2009/05/19 10:05:08
-------------------- Sending query to database named CRM (id: <<3688>>):
select D1.c1 as c1,
D1.c2 as c2,
D1.c3 as c3,
D1.c4 as c4
from
(select distinct D1.c2 as c1,
D1.c3 as c2,
D1.c1 as c3,
cast(NULL as INTEGER ) as c4,
D1.c4 as c5,
D1.c5 as c6
from
(select count(distinct T26129.ID) as c1,
T26105.TITLE as c2,
T26115.NAME as c3,
T26105.ID as c4,
T26115.ID as c5
from
CRM_LINKS T26115,
CRM_EMAILS T26105,
CRM_LINKS T26129 /* CRM_LINKS_FACT */
where ( T26105.ID = T26129.EMAILID and T26105.TITLE = 'May Newsletter' and T26115.ID = T26129.ID )
group by T26105.ID, T26105.TITLE, T26115.ID, T26115.NAME
) D1
) D1
order by c1, c2