QlikView

QlikView

QlikView is a business intelligence and data visualization software that allows users to create interactive dashboards and data apps. It provides data integration, analytics, and reporting capabilities in a single platform.
QlikView image
data-visualization dashboards analytics reporting

QlikView: Business Intelligence and Data Visualization Software

QlikView is a business intelligence and data visualization software that allows users to create interactive dashboards and data apps. It provides data integration, analytics, and reporting capabilities in a single platform.

What is QlikView?

QlikView is a business intelligence and data visualization platform used to create interactive dashboards and analytics applications. It was first released in 1993 by the Swedish company Qlik. Key features of QlikView include:

  • Associative data modeling and in-memory analytics engine - Allows fast analysis of large, disparate datasets without predefined schema constraints
  • Interactive dashboards and visualization - Drag-and-drop interface to build dashboards with charts, tables, gauges and maps
  • Self-service BI - Allows business users to easily create and share analytics apps without relying on IT
  • Data integration and ETL - Provides native data integration and extract, transform and load (ETL) capabilities
  • Mobile BI - QlikView dashboards can be accessed on mobile devices through the Qlik Sense mobile app
  • Advanced analytics functions - Includes statistical analysis, forecasting, clustering, predictive modeling within the data app

QlikView is useful for gaining faster business insights from multiple data sources. With its associative engine and visualization capabilities, it allows organizations to explore data freely without restrictions of predefined schemas. Common use cases include sales and marketing analytics, supply chain analytics, financial reporting and more.

QlikView Features

Features

  1. Drag-and-drop interface for data modeling
  2. In-memory associative analytics engine
  3. Interactive dashboards and visualizations
  4. Self-service BI capabilities
  5. Data integration from multiple sources
  6. Mobile BI support
  7. Collaboration and sharing capabilities
  8. Advanced security features

Pricing

  • Subscription-Based
  • Pay-As-You-Go

Pros

Powerful data visualization capabilities

Intuitive and easy to use

Fast in-memory performance

Flexible self-service BI

Scalability to large data volumes

Strong data integration features

Collaboration capabilities

Broad platform and device support

Cons

Steep learning curve

Expensive licensing model

Scripting language can be complex

Limited advanced statistical/analytic functions

Less flexibility than open-source options

Dependency on proprietary file format (QVD)


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