Fact table with 2 time keys, measures showing together in the same report

Hello,
I am using OBI EE and I have the following scenario: a fact table hold information about enquiries. An enquiry may or may not generate an appointment. So in my fact table I have two date columns: enquiry date and appointment booked date (not the date of the appointment itself, but when it was actually booked).
This raises a couple of questions. First question is: I can only have one logical FK to the Times table, how to create two LFKs for those 2 dates? Should I create a logical copy of the Times table in the BMM, along with another time dimension?
Second question is how to display both pieces of data in the same report. For instance, in a summary report per month I want to see the number of enquiries made and appointments booked in each month. Most likely they will be different numbers and refer to different rows in the database. What is the best way to model this in the BMM?
For instance, in October there were 10 enquiries, 8 of them were converted into appointments along with 3 enquires made in September. So, the report should show for October: number of enquires: 10, number of appointments: 11 (8 from October + 3 from September)
Sorry if this is a basic question but I couldn't find around any examples of this scenario.
Thanks,
Luis

Genius, that works perfectly, thanks!
Just one issue that I noticed... I have other dimensions on that fact table, one of them is "channel". Channel is linked to a column in the original fact table, as is Number of Enquiries.
If I include Channel in a report that shows Number of Enquiries and Number of Appointments, the Number of Appointments column only shows zeros, while the Number of Enquiries column still shows the correct numbers:
Month    Channel   Enquiries   Appointments
Jan 09   Email      100           0
         Phone      120           0
Feb 09   Email       87           0
...Then I figured out that I needed to add a PFK for all dimensions to the aliased fact table, not only for the times dimension.
Thanks again
Luis

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Hi Gurus,
I try to accomplish in Oracle Business Intelligence 11.1.1.3.0:
F1 (D1, D2 and D3)
F2 (D1 and D2 and D4)
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F1 that match only for D1-D2-D3
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http://108obiee.blogspot.com/2009/08/joining-two-fact-tables-with-different.html
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State: HY000. Code: 10058. [NQODBC] [SQL_STATE: HY000] [nQSError: 10058] A general error has occurred. [nQSError: 43113] Message returned from OBIS. [nQSError: 14025] No fact table exists at the requested level of detail: [,,Clients,,Day,ROI,,,,EW_Names,,,,,,,,,,,,,,,,,]. (HY000)
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Thanks for all your replies.
Actually, I've tried the solutions you guys mentioned. Generally speaking, the result should be displayed. However, my scenario is a little bit tricky.
table Y's figures are not the aggregation of table X for D dimension. Instead, table Y's figures include not only D dimension total, but also others (others do not mean A, B, C dimension). For example, table Y stores all food's figure, while table X stores only drink's figure. D dimension is only about drink's detail. In my scenario, other foods' figure is not provided.
So, even if I set D dimension to all/total for table X, table X's result is still not the same as table Y.
Indeed, table Y does not have a column key to join to D dimension's key. So, if I select D dimension and table Y's measures at the same time in BI Answer, result returns no data. Hence, I can't compare table X and table Y's results with selection of D dimension.
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How to handle Fact tables with different granularity in OBIEE 11g RPD

Hello Everyone,
I have got stuck here and need your help.
I have two fact tables (Say F1 and F2... F1 is containing data at month-level and F2 is containing data at day level) and one Date DIMENSION TABLE. Date_Code is the PK of Date dimension table.I need to use time-series functions also.
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Hi Veeravalli,
Thanks for your reply :)
Let me explain the problem in more detail. I have one Date dimension(Date_Code,Month_Code,Quarter_Code,Half_Year_Code,Year_Code). Here Date_Code is the PK.
In F1---->Date (Using Month_Code key)
F2-------->Date (Using Date_Code Key)
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F1 has level set to Month and F2 has level set to Day.
Now if i am using ago() function on measure of F2 (having day level data) then it's working fine but if i am using ago() function on measure of F1...I am getting an error at Presentation service: Date_code must be projected for time-series functions.
So the whole issue is with time-series functions. As per my research...I think for time series the tables in the physical model containing the time dimension cannot join to other data sources, except at the most detailed level but here i am joining with F1(using Month_Code which is not the most detailed level).
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We have created 2 dimensions, CUSTOMER & PRODUCT with surrogate keys to reflect SCD Type 2.
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Hi Laura
There is another way to handling SCD and changing Facts. This is to use a different table for the history. Let me explain.
The standard approach has these three steps:
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how do i join fact tables with higher dimension levels with discoverer?
fact with detail at level C
measure X
dimension with
D->C->B->A
E->C
level
A B C
1------1------1
2------2------1
3------2------1
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D->C
E->

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WHERE fact_a.date = '28-nov-2012'
UNION ALL
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FROM db.dim_a
JOIN
db.fact_b
ON fact_b.col_2 = dim_a.col_2
WHERE fact_b.date = '28-nov-2012'
UNION ALL
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FROM db.dim_a
JOIN
db.fact_c
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V

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Save the vi as a template (*.vit), then you can open it (dynamically) as
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"smal" wrote in message
news:[email protected]..
> Hi,
> What if the subvi has to be called dynamically (hence using call by
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>
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Fact table with 2 time keys, measures showing together in the same report

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