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Hello Guys,
Before implementing Qlik - R integration, In my organization i need to get clarified few of my doubts. I am posting few questions, to get clear idea. I am a manager with exposure to Qlikview , not R.
Flow of the data will be like Database --> Qlikview (Real time) --> R (modeling ) --> Qlikview .
1) What is the cost : servers, licences, connectors, resources, hardware ...
2) Can it be instantly predictive ?
3) Is it used anywhere for commesial modeling ?
4) I want to have auto-made models, as well as designed-by-me models, as well as imporrted models. Is it possible ?
5) I want to version my models, and version my sets of data. We could say that I want to apply any model on any data set
6) What will happen when my model will change (every 6 month about). Do I have to redesign the data set ?
7) If i redesign the data set, will i be able to run a new model on a previous data sets. Yes or no, depending on what ?
😎 Can I tag some data sets, subsets, ...Can I add some comments , share my data sets with my colleagues for trainig or testing purposes ?
9) If I want to use SPSS with Qlikview , is it advisable ?
10) Do I need different data sets for different predictions (early claims, fraudulent claims ....)
11) Can i get some dashboard to measure the efficiency of my models (before / after)
12) What is the limit of the system : number of variables, size of the data, ....
Thanks,
Hi,
I am not sure if you have already checked out the below link:
QlikView and R Integration for Predictive Analy... | Qlik Community
Hope this helps.
Most of the consultancy firms use Alteryx and Qlik hand in hand just for this purpose.
For self-services analytics Qlik requires a lot of code writing.
An easy approach is to utilize Alteryx predictive capabilities is to get the Alteryx Starter Kit for QlikView...
Also check out; Qlik | Alteryx
see this
Hi sinanozdemir kush141087
Is this integration process possible on enterprise level ? I am having very large and dyanamic datasets which are updated in real time . Is there is limit of this system like in terms of number of variables and size of data?
Thanks
I would normally expect the flow to be;
Database --> Alteryx workflows for data blending and R based predictions/estimations/clustering --> Alteryx based scoring (scheduled to be updated/rerun in a few moments or for each trigger) --> Discover your data in Qlik (Real time)
1) What is the cost : servers, licenses, connectors, resources, hardware...
2) Can it be instantly predictive?
3) Is it used anywhere for commercial modeling?
4) I want to have auto-made models, as well as designed-by-me models, as well as imported models. Is it possible ?
5) I want to version my models, and version my sets of data. We could say that I want to apply any model on any data set.
6) What will happen when my model will change (every 6 month about). Do I have to redesign the data set ?
7) If i redesign the data set, will i be able to run a new model on a previous data sets. Yes or no, depending on what?
😎 Can I tag some data sets, subsets, ...Can I add some comments , share my data sets with my colleagues for training or testing purposes?
9) If I want to use SPSS with Qlikview, is it advisable?
10) Do I need different data sets for different predictions (early claims, fraudulent claims ....)
11) Can i get some dashboard to measure the efficiency of my models (before / after)
12) What is the limit of the system : number of variables, size of the data, ....