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CAPANAS BEST PRACTICE FOR QLIK BI

The "best practice" recommendations we have compiled are based on everything from how to best develop a Qlik solution to optimizing the performance of an existing solution.

 

Capana has created a standardized deployment framework (DFW) based on best practices combined with Qlik's deployment framework. Capana's DFW ensures optimal performance, data quality, and TCO (Total Cost of Ownership) for our clients. When it comes to performance, it's not just about improving hardware; there are several factors that can affect how your Qlik environment operates.

We are sharing all of this knowledge with you below.

Capana's deployment framework (DFW)
 
We have developed our own deployment framework, which is built upon Qlik's deployment framework combined with our own "best practice" experiences.

Checklist for optimal performance

 If you are experiencing issues with your Qlik environment not performing optimally, you can identify some of the common causes using our checklist below.

How well does your Qlik solution perform?

A Qlik environment that does not perform optimally can be frustrating for both the IT department and end users. Read our "best practice" experiences on optimized performance here.

We have also optimized the business for:

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