One area where Qlik Analytics Platform could be improved is in providing better support for batch processing and traditional ETL workflows. While it excels in real-time replication, it lacks robust tools for handling batch data processing. This limitation can be challenging when there is a need to create non-real-time, batch pipelines for data integration and transformation.
Adoption experience is required. There is some technical background required to do some of the reporting. Customers often request easy interaction with other tools like Excel and PowerPoint.
Senior Business Analytics Consultant at a healthcare company with 10,001+ employees
Real User
2019-12-16T11:45:00Z
Dec 16, 2019
It would be great if decentralized teams would have more features to manage the metadata on the dashboards, setup the specific user access rights and rules to govern incoming and outgoing data sets from/to other teams, and more features to separate the different data process layers (e.g. extraction, transformation [data quality, business rules]).
One area where Qlik Analytics Platform could be improved is in providing better support for batch processing and traditional ETL workflows. While it excels in real-time replication, it lacks robust tools for handling batch data processing. This limitation can be challenging when there is a need to create non-real-time, batch pipelines for data integration and transformation.
Adoption experience is required. There is some technical background required to do some of the reporting. Customers often request easy interaction with other tools like Excel and PowerPoint.
It would be great if decentralized teams would have more features to manage the metadata on the dashboards, setup the specific user access rights and rules to govern incoming and outgoing data sets from/to other teams, and more features to separate the different data process layers (e.g. extraction, transformation [data quality, business rules]).
More freedom for custom visuals and dashboard creation would be an improvement.