Dear Experts,
We are working on a Scenario, and try to build a Predictive Analysis reports on the same, as we are new to HANA , please help us on the same.
Scenario
1) Machine are sending the consumption of liquid to HANA continuously, following are the machines configured.
MachineId | Machine Name | Liquid Flow Limit | UOM |
M1 | Coffee Wending Machine | 2000 | Ltrs |
M2 | Water Purifier | 3000 | Ltrs |
2) Following is the sample data sent from machines for every minute Liquid consumption to HANA.
MachineId | Liquid Dispence | Balance | Date Time | UV | RO | Glight | Red LED |
M1 | 5 | 1995 | 4-17-14 12:15 PM |
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M1 | 100 | 1900 | 4-17-14 12:16 PM |
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M1 | 200 | 1800 | 4-17-14 12:17 PM |
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M1 | 300 | 1700 | 4-18-14 12:17 PM |
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M1 | 400 | 1600 | 4-18-14 12:16 PM |
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M1 | 500 | 1500 | 4-18-14 12:17 PM |
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M2 | 300 | 2700 | 4-17-14 12:15 PM |
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M2 | 400 | 2600 | 4-17-14 12:16 PM |
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M2 | 500 | 2500 | 4-17-14 12:17 PM |
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M2 | 600 | 2400 | 4-18-14 12:17 PM |
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M2 | 700 | 2300 | 4-18-14 12:16 PM |
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M2 | 800 | 2200 | 4-18-14 12:17 PM |
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Our Reqirement:
Now we need to Build a Predictive analysis report around this data as follows:
- 1) The report should show the predictive analysis of liquid consumption by month wise, for each machine level.
Our query:
- 1) For this requirement what is the predictive analysis algorithm (function) we should use ?
- 2) What is the implementation procedure on the respective algorithm.
- How can we build Types, input Tables ?
- How can we build Parameters, how can we determine the Alpha value etc , for our requirement?
Our research and queries on the same.
- WE went through a video (HANA Academy - Key Concepts of the Predictive Analysis Library - YouTube)on Single Smooth Algorithm, in that we query on Result.
- The input was given as Calendar Id and Sales Amout, where Calendar Id starts from 0 – 23 , what is meant by this Calendar Id ?
- And also the result is showing Calendar Id from 2-24 , why it is not considering Calendar 0 and 1
- How can we say that the result is predictive and on what basis (like month ,year , date etc).
Thanks and Regards,
Somaraju