What is the Excel Addin Doing
- Hi,
I am just starting to use the excel add in and some of the things I can't figure out. I am trying to do forecasting, which every demo i have seen looks simple enough. i have created a set of data using two facts/measures and the first of every month for 2 years. When i use the table tools, Analyze, Forecast I get different results depending on how i do it.
e.g.
My data (some of)
01/03/2009 00:00 3583973.49 2969 01/04/2009 00:00 3057092.23 2519 01/05/2009 00:00 2053462.79 2382
if i forecast both measures at the same time
01/06/2009 00:00 3948649.77 3014 01/07/2009 00:00 4175897.669 3382 01/08/2009 00:00 3948649.77 3296
if i forecast them on their own
first measure
3992107 3992107 3992107 3992107 3992107
second measure
27762988 2631 2708 2476
Can anyone explain why it is doing that? I am guessing that when you do it together they both impact one another, can i get it so that measures don't influence others? And why do I only get 3? As opposed 5 when i do them seperately?
A very confused
Matt
解答
- MattWhich version of SQL Server are you using? 2005?If you are using 2005 then the algorithm used for all time series predictions is ARTxP. The x is "Cross" and this allows a variable to be influenced by another. This is very probably the reason you are seeing the difference in values.The second Q which is "Why does it stop". Again in 2005 what happens is that if the predictions start to get too wild then SSAS will just stop predicting and you have no way of controlling it. ARTxP is great at "Short Term/Next Value" prediction but not as good further out. That is one of the reasons why ARIMA was introduced in 2008.Allan
- 已標示為解答Matt Tolhurst 2009年6月29日 下午 07:24
所有回覆
- MattWhich version of SQL Server are you using? 2005?If you are using 2005 then the algorithm used for all time series predictions is ARTxP. The x is "Cross" and this allows a variable to be influenced by another. This is very probably the reason you are seeing the difference in values.The second Q which is "Why does it stop". Again in 2005 what happens is that if the predictions start to get too wild then SSAS will just stop predicting and you have no way of controlling it. ARTxP is great at "Short Term/Next Value" prediction but not as good further out. That is one of the reasons why ARIMA was introduced in 2008.Allan
- 已標示為解答Matt Tolhurst 2009年6月29日 下午 07:24
- Thanks Allan,
We are using 2005, there is currently some arm twisting going on so we can get 2008. I will add what you say to my case :)

