Time Series algorithm problem

Hi,
problem-In Time Series Algorithm predication is wrong if Sales value is negative
i have data for more than 3 years ,
sample data like
Year/Month
Zone-1 Sales
201001
-5467.66
201002
2345.88
201003
-7895.33
201004
2345.65
201005
120.2333
Due to negative value my prediction for next month is wrong. Please tell me how I can handle this problem. Negative values come due to sales return in zone.

Hi Leo,
Thanks a lot for replay.
but using help of this blog also this problem not solve.
is this problem can we solve using "Seasonal Decomposition of Time Series by Loess".
Regards,
Manish

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SAP HANA One and Predictive Analysis Desktop - Time Series Algorithms

I have been working on a Proof-of-Concept project linking the SAP Predictive Analysis Desktop application to the SAP HANA One environment.
I have modeled that data using SAP HANA Studio -- created Analytic views, Hierarchies, etc. -- following the HANA Academy videos. This has worked very well in order to perform the historical analysis and reporting through the Desktop Application.
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HANA Info:
HANA One Version: Rev 52.1
HANA Version: 1.00.66.382664
Predictive Analysis Desktop Info:
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Build: 708
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Hi,
If you use CSV or XLS data source you will be using Native Algorithm or R
Algorithm in SAP Predictive Analysis.
When you connect HANA, SAP Predictive Analysis uses PAL Algorithm which runs
on HANA server.
Coming to your question regarding difference,
In SAP PA Native Algorithm, we could provide the Data variable, Algorithm
picks the seasonal information from the Data column. Both R and SAP HANA PAL
does not support Date Column. We need configure seasonal information in
Algorithm properties.
R Properties
1) Period : you need to mention the periodicity of the Data
Monthly : (12)
Quarter : (4)
Custom : you can use it for week or Daily or hourly.
2) Start Year: need to mention Start year.
Start year is not used by algorithm for calculating Time series, but it helps
PA to generate Visualization ( Time series chart) by simulating year and
periodicity information.
3) Starting Period:
if your data is Quarterly and you have data recordings from Q2, mention 2 in
start period.
Example.
If the data periodicity is Monthy and my data starts from Feb 1979, we need to provide following information,
Period: 12
Start year: 1979
start Period: 2
PAL Properties. : Same as properties defined in R.
Thanks
Ashok
[email protected]

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I am Sucessed next 7 days prediction,
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pandiyan

Hi Leo,
Thanks a lot for replay.
but using help of this blog also this problem not solve.
is this problem can we solve using "Seasonal Decomposition of Time Series by Loess".
Regards,
Manish

How prepare Query for time series algorithm?

Hi every one,
i want next 6 month prediction, how prepare the Query ,
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pandiyan

Hi Leo,
Thanks a lot for replay.
but using help of this blog also this problem not solve.
is this problem can we solve using "Seasonal Decomposition of Time Series by Loess".
Regards,
Manish

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Hi O G-M,
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