Assessment of your Qlik Sense Environment
In my last blog “Why Move to Qlik SaaS“, I talked about three main things.
Realtime Scalable Data Pipelines
Leverage the scalability of cloud DW for Transformations with ELT
Cloud based ‘pay as you use’ Data Warehouse/lake
Next Gen BI that goes much beyond reports
No Code AI/ML for Business Analysts to leverage data science and gain insights
Scale your Enterprise with error free processes
Create implementable Strategy for your environment to generate value by leveraging data assets
In my last blog “Why Move to Qlik SaaS“, I talked about three main things.
Proactively Manage Qlik Performance and User Experience
Validate Access and manage Compliance for Qlik dashboards
Drive BI Adoption, increase Productivity and enable Proactive action
In my last blog “Why Move to Qlik SaaS“, I talked about three main things. Considerations, Benefits, and Cautions. In this blog, I will help
Challenges: Extracting base reports from ERP was a manual process that involved collating, updating and
Realtime Scalable Data Pipelines
Leverage the scalability of cloud DW for Transformations with ELT
Cloud based ‘pay as you use’ Data Warehouse/lake
Next Gen BI that goes much beyond reports
No Code AI/ML for Business Analysts to leverage data science and gain insights
Scale your Enterprise with error free processes
Create implementable Strategy for your environment to generate value by leveraging data assets
In my last blog “Why Move to Qlik SaaS“, I talked about three main things.
Proactively Manage Qlik Performance and User Experience
Validate Access and manage Compliance for Qlik dashboards
Drive BI Adoption, increase Productivity and enable Proactive action
In my last blog “Why Move to Qlik SaaS“, I talked about three main things. Considerations, Benefits, and Cautions. In this blog, I will help
Challenges: Extracting base reports from ERP was a manual process that involved collating, updating and
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.