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
Our data quality and governance led integration approach for On-prem and cloud data. Strategy and architecture are based on how business consumes data and what matters. Integrate your source data in real time to cloud, get insights and take action.
As the saying goes ‘Garbage in, Garbage out’. Data quality is a long arduous process with multiple touch points. We partner with you to setup, automate and execute this tedious but important aspect of data as it is relevant to your environment.
Data Governance should be thought at integration stage and not as afterthought end of pipe. Irrespective of how good the visualization is, there is no value to any presentation unless the audience trusts the data. Just getting the data right is not good enough. We also have to prove that it is right. This is where data governance comes into play defining the source of data, its lineage and calculation standard for the metrics. Once this is done, we don’t have to worry about which Sales amount is right - ‘Finance Sales’ or ‘Marketing Sales’. Role based access for regions or access to specific information on a need to know basis is business critical. Other regulatory aspects like record of PII (personally identifiable information), its lifecycle and access to it have to be considered to prevent compliance and brand impact.