QlikView Expressor
QlikView Expressor is a data visualization and dashboarding software that enables interactive data exploration and reporting. It uses in-memory associative technology for rapid analysis.
data-visualization
dashboarding
business-analytics
data-exploration
reporting
QlikView Expressor: Rapid Data Visualization and Reporting
QlikView Expressor is a data visualization and dashboarding software that enables interactive data exploration and reporting. It uses in-memory associative technology for rapid analysis.
What is QlikView Expressor?
QlikView Expressor is a business intelligence and data visualization software used to create interactive dashboards for data discovery and analysis. It utilizes an in-memory associative data indexing engine that allows users to freely explore data relationships across multiple sources.
Key features of QlikView Expressor include:
- Interactive dashboards with advanced visualizations like charts, graphs, gauges, maps etc.
- Associative data model for easy ad-hoc analysis without restrictions on data relationships
- In-memory technology for rapid analysis on large or complex datasets
- Robust data integration from multiple sources like databases, cloud apps, Excel etc.
- Data exploration using search and selections to identify insights
- Collaborative analytics with sharing of insights across teams
- Customizable visualizations and dashboard layouts
- Scalability to handle growing data volumes across the enterprise
- Security capabilities for access control and data governance
QlikView Expressor enables organizations to unlock the value of data for accelerated business insights and data-driven decision making through interactive analytics dashboards built for business users.
QlikView Expressor Features
Features
- Drag-and-drop interface for data modeling
- In-memory associative technology for rapid analysis
- Interactive dashboards and visualizations
- Self-service data preparation
- Collaboration and sharing capabilities
- Mobile app for access on the go
- Broad connectivity to data sources
- Geoanalytics and mapping features
- Enterprise scalability and governance
Pricing
- Subscription-Based
- Pay-As-You-Go
Pros
Fast and intuitive data analysis
Powerful visualization capabilities
Scales to large data volumes
Associative technology uncovers insights
Collaboration features
Broad data connectivity
Cons
Steep learning curve
Expensive licensing model
Scripting language lacks power of R or Python
Limited advanced statistical/ML capabilities
Not fully open source
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