Qlik Sense Demo in telugu by Vamsi Sir 9059868766 @9:15am on 02th Dec 24
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Qlik Sense is a business intelligence (BI) and data visualization platform developed by Qlik. It is designed to help users easily create interactive and visual dashboards, reports, and analytics from their data. Qlik Sense empowers users to explore and visualize data on their own, enabling better decision-making within organizations.

Key features of Qlik Sense include:

Self-Service BI: Qlik Sense allows users to create their own visualizations and reports without relying on IT support. This empowers business users to explore and analyze data independently.

Associative Data Model: Qlik Sense uses an associative data model, which means that all data is connected. This enables users to explore data relationships dynamically and discover insights that may not be apparent in traditional, static reports.

Drag-and-Drop Interface: The platform features a user-friendly, drag-and-drop interface for creating visualizations and building dashboards. This makes it accessible to users with varying levels of technical expertise.

Data Integration: Qlik Sense can connect to various data sources, including databases, spreadsheets, and cloud-based data sources. It supports data integration to bring together disparate datasets for analysis.

Collaboration and Sharing: Users can share their insights and dashboards with others, promoting collaboration and knowledge sharing within the organization.

Responsive Design: Qlik Sense is designed to be responsive, allowing users to access and interact with dashboards on different devices, including desktops, tablets, and smartphones.

Security: The platform provides robust security features, allowing administrators to control access to data and dashboards based on user roles and permissions.

Qlik Sense is part of the broader Qlik analytics platform, which also includes QlikView, another product by Qlik that focuses on guided analytics and interactive dashboard development. Qlik Sense is often used by organizations to gain actionable insights from their data and improve decision-making processes.

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