Qlik Sense Optimization

Adoption of BI is closely correlated to response time of result. We have come to expect the response time of ‘Google like’ products and anything much beyond that increases the users’ annoyance level and leads to the project’s failure with usage issues. Health check followed by Optimization of existing installs is a recommended practice every couple of years to ensure that user traction for BI continues. 

  1. It’s been more than 2-3 years of Qlik usage
  2. Users start experiencing the slowness while using the dashboard.
  1. Optimal use of resources such as CPU and memory
  2. Increase in the dashboard performance
  3. Improved user experience and adoption

Our Methodology

Discuss Optimization of your Qlik install