Summary Qlik Sense is a powerful data analytics platform that provides organizations with next-level insights and actionable intelligence. With its AI-powered capabilities, Qlik Sense empowers users at all skill levels to make informed decisions based on data. The platform offers a wide range of features, including self-service visualization, interactive dashboards, search-based analytics, and advanced analytics. By seamlessly integrating data from various sources and delivering real-time calculations, Qlik Sense enables users to explore their data and uncover meaningful insights. With its collaborative and mobile-friendly design, Qlik Sense facilitates data-driven decision-making and drives immediate action. This comprehensive analytics solution helps organizations enhance their data literacy, improve business outcomes, and gain a competitive edge in today's fast-paced market.
Advanced analytics for data-driven insights.
Key Features • Empower people at all skill levels with AI-powered insights and predictions • Easily explore information and quickly gain insights • Connect and combine data from hundreds of data sources • Create, share, and distribute powerful dashboards • Interact with data using natural language and search-based visual discovery • Benefit from advanced and predictive analytics without being a data scientist • React to changes in data with alerting and automation • Build, publish, and share reports in popular formats • Access analytics on any device with responsive design and touch interaction • Customize and embed analytics solutions to meet complex challenges • Integrate data preparation and integration capabilities • Govern and catalog analytics-ready data • Automate workflows and trigger event-driven actions • Collaborate and add context to analytics • Drive data literacy across the organization with Qlik's Analytics Engine
Use Cases • Business intelligence and data analytics • Predictive analytics and forecasting • Sales and marketing analysis • Supply chain optimization • Financial analysis and reporting • Risk management • Customer segmentation and targeting • Operational efficiency improvement • Product development and innovation • Fraud detection and prevention
