on 2013 Aug 01 12:18 PM
Dear Experts,
I am trying to distribute the data of 2013 based on the 2012 data. The distribution works but I am not sure of the ratio of distribution.
For E.g.
Reference Data:
Date | Char1 | Value |
---|---|---|
Jan.2012 | A | 100 |
Jan.2012 | B | 200 |
Jan.2012 | C | 300 |
Feb.2012 | A | 300 |
Feb.2012 | B | 100 |
Feb.2012 | C | 200 |
Before Distribution:
Date | Char1 | Value |
---|---|---|
Jan.2013 | # | 1200 |
Feb.2013 | # | 2400 |
After distribution:
Date | Char1 | Value |
---|---|---|
Jan.2013 | A | 400 |
Jan.2013 | B | 300 |
Jan.2013 | C | 500 |
Feb.2013 | A | 800 |
Feb.2013 | B | 600 |
Feb.2013 | C | 1000 |
So what is happening is the average ratio of A,B,C (4:3:5) is calculated for the entire period (Jan, Feb) and applied for each of the records.
What we would like to achieve is that for each month the ratio of distribution should be based on the historic month instead of an average ration for the entire year.
i.e. for Jan (1:2:3) and for Feb (3:1:2).
Any help or suggestion would be greatly appreciated.
Thanks and regards,
Saurav.
Request clarification before answering.
Hi,
is fiscper or fiscper3 included in your aggregation level?
It should be fiscper3 and it may not be a field to be changed.
fiscyear should be defined as the reference - with the offset to the year before.
The the system creates a data package for each fiscper3 and I think that´s what you wanted.
regards
Cornelia
You must be a registered user to add a comment. If you've already registered, sign in. Otherwise, register and sign in.
Hi
Your distribution function needs all characteristics identified to do this. Now its not having fiscper in it thats why the ratio is 4:3:5 as it is aggregated.
Martin
You must be a registered user to add a comment. If you've already registered, sign in. Otherwise, register and sign in.
User | Count |
---|---|
90 | |
11 | |
9 | |
8 | |
6 | |
5 | |
5 | |
5 | |
4 | |
4 |
You must be a registered user to add a comment. If you've already registered, sign in. Otherwise, register and sign in.