on 08-04-2008 7:58 AM
Hi Friends,
Can any one please tell me - What is an Outlier Correction?
Regards,
Ujwal Arora
An outlier is an historical value that lies outside the tolerance lane. The system calculates this tolerance lane on the basis of the sigma factor. It then corrects any historical value that lies outside the upper or lower band of this tolerance lance so that it corresponds to the calculated ex-post value for that point in time
You maintain this setting in the Master forecast profiles.
If you set this indicator, the system carries out an ex-post forecast twice: the first time when it performs outlier correction, the second time when it calculates the forecast based on the corrected history. The two ex-post values are not necessarily identical.
The automatically corrected historical values are saved and displayed in the Corrected history key figure that was defined in the Customizing for Demand Planning. If no key figure has been defined in Customizing, the corrected historical values are displayed (but not saved) in interactive forecasting in the corrected history row of the standard Forecast view
You must be a registered user to add a comment. If you've already registered, sign in. Otherwise, register and sign in.
Dear Ujwal,
An outlier is a value in the historical data that lies outside the expected range of values. There can a variety of reasons for this, for example, an error in data entry or a freak result. Such data points should not be taken into account when producing a forecast.
You can find detailled informations about Outlier Correction on sap help:
http://help.sap.com/saphelp_scm50/helpdata/en/ac/216b9e337b11d398290000e8a49608/frameset.htm
I hope this information helps.
Regards,
Tibor
You must be a registered user to add a comment. If you've already registered, sign in. Otherwise, register and sign in.
Hi,
An outlier is an historical value that lies outside a range that is expected. Outliers can falsify the forecast results.
The easy way to idetify outliers is to use the alert functionality and correct the data manually and achive the accurate forecast.
Regards,
Prabhu
You must be a registered user to add a comment. If you've already registered, sign in. Otherwise, register and sign in.
User | Count |
---|---|
9 | |
4 | |
3 | |
3 | |
2 | |
2 | |
1 | |
1 | |
1 | |
1 |
You must be a registered user to add a comment. If you've already registered, sign in. Otherwise, register and sign in.