Qlik

What is Qlik?

Qlik is a data analytics and business intelligence company that provides software solutions for data integration, visualization, and analysis. Founded in 1993, its mission is to create a data-literate world where organizations can harness the full potential of their data to drive better outcomes. The platform serves users by offering tools that allow non-technical users to explore data intuitively, uncover hidden insights, and collaborate on analytics projects. It solves problems related to data silos, complex analysis, and decision-making delays by providing associative data modeling and AI-powered augmentation. Qlik's solutions are used across industries like healthcare, finance, and retail to transform raw data into actionable intelligence. Overall, it empowers businesses to move from passive reporting to active analytics, fostering innovation and efficiency.

Qlik's Core Features

• Associative Engine allows users to explore data relationships freely without predefined queries, enabling deeper insights and faster discovery of patterns.

• AI-powered insights automatically generate suggestions and narratives from data, helping users identify trends and anomalies without manual effort.

• Data integration capabilities connect to multiple sources seamlessly, ensuring real-time data access and reducing preparation time.

• Interactive dashboards and visualizations enable users to create customizable reports that are easy to share and collaborate on.

• Natural language querying lets users ask questions in plain English and receive instant visual responses, democratizing data access.

• Augmented analytics uses machine learning to enhance human decision-making by providing predictive analytics and scenario modeling.

• Cloud deployment options offer scalability and flexibility for enterprises to manage analytics workloads efficiently.

• Embedded analytics allow integration of Qlik's tools into other applications, extending analytics to custom workflows.

• Data literacy tools provide training and resources to help users build skills in data analysis and interpretation.

• Security features ensure data governance with role-based access and compliance with global standards like GDPR.

• Mobile access enables users to view and interact with analytics on the go via responsive apps.

• Collaboration features support team-based analytics with shared spaces and annotations for better communication.