Qlik Analytics Platform's valuable features include advanced analytics, geo-analytics, and the insight bot. Its strong third-generation BI tech, self-service capabilities, and open API support third-party extensions effectively. Users find Change Data Capture capability for near real-time data replication and data consistency invaluable. The ETL layer, easy data sharing, security, and scalability options enhance usability. Reporting, alerting features, AutoML module for sales/churn models, and user-friendly interface with diverse data visualization tools are also noteworthy.
- "The most valuable feature of Qlik Analytics Platform is its Change Data Capture capability."
- "Reporting is a valuable feature of the solution."
- "Qlik offers you all the features needed to extract the raw data from the source systems including an ETL layer to transform the data and to connect the multiple data sources into one data model, easy data sharing, security and scaling features, dashboards, and report functionality to share your data with your end-users."
Qlik Analytics Platform could enhance custom visuals and dashboard creation flexibility, provide decentralized teams with more metadata management and user access features, and improve data process layer separation. It also requires a better batch processing support and traditional ETL workflows as it excels in real-time replication but lacks batch data processing capabilities. Users call for easier tool interaction, including with Excel and PowerPoint, and highlight a need for adoption experience due to technical intricacies.
- "One area where Qlik Analytics Platform could be improved is in providing better support for batch processing and traditional ETL workflows."
- "The user experience needs to be improved."
- "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])."
