From Data to Action: Qlik's Agentic Trajectory Towards Integrated Decision Intelligence
Qlik develops an integrated agentic AI to analyze, anticipate, and act on data, transforming business decision-making. This approach is realized in th...
Qlik is a leading American company specializing in data analytics, business intelligence, and data integration solutions. Founded in 1993, it is renowned for its ability to transform business decision-making through innovative solutions that leverage artificial intelligence and machine learning. Qlik has distinguished itself with its unique approach to analytics, aiming to make data accessible and actionable for all levels of an organization, from operational to strategic.
Qlik stands out for its expertise in developing data analytics and business intelligence solutions. Its Qlik Cloud Analytics™ platform is at the core of its offering, enabling businesses to convert raw data into actionable insights. A cornerstone of this platform is agentive AI, which automates the analytical process by detecting weak signals and recommending actions tailored to the business context. This technology represents a significant advancement in the analytics value chain, bringing analysis closer to concrete action points.
Among its notable achievements, Qlik has integrated advanced features such as the Discovery Agent, which continuously monitors application performance, and Multivariate Time Series Forecasting, providing more reliable economic and operational forecasts. Additionally, with tools like Write Table and Table Recipes, Qlik makes analytics collaborative and accessible without requiring advanced technical expertise.
Qlik has recently strengthened its partnership with the professional cycling team Q36.5 Pro Cycling Team to optimize sports performance through real-time data analysis. This collaboration illustrates the application of advanced analytics beyond traditional sectors and demonstrates Qlik's ability to adapt to dynamic and competitive environments.
In parallel, Qlik has expanded its data integration capabilities for platforms such as SAP, Databricks, and Snowflake to meet the growing needs for AI management and advanced analytics. These enhancements facilitate cloud migration and data extraction to generate richer insights.
Qlik positions itself as a key player in the data and AI ecosystem. Its commitment to providing integrated and robust solutions meets the growing demands of businesses for data management. With strategic partnerships and enhanced integrations, Qlik offers a complete value chain, from data collection to advanced analysis.
Moreover, the acquisition of Talend in 2023 has allowed Qlik to consolidate its portfolio of solutions for data integration, quality, and analysis. This initiative is part of a strategy to maximize the impact of generative AI by combining classical AI and generative AI to create added value across various sectors.
In 2025, Qlik unveiled a series of innovations at its Qlik Connect event, aiming to make analytics more autonomous and proactive. The new features of Qlik Cloud Analytics™ embody this vision, with a progressive implementation of agentive AI to enhance business decision-making.
Furthermore, Qlik sponsored an IDC study highlighting the challenges and opportunities related to the adoption of generative AI. This study underscores the gap between companies' ambitions and their readiness for these technologies, while emphasizing the need for strict data governance to successfully integrate AI on a large scale.
Finally, the strengthened partnership with the United Nations Framework Convention on Climate Change (UNFCCC) demonstrates Qlik's commitment to using data for global causes. By integrating its solutions with the UNFCCC, Qlik contributes to accelerating climate action by providing reliable data and advanced analytics to support international negotiations.
In summary, Qlik continues to position itself as a leader in data analytics and artificial intelligence, thanks to a strategy focused on innovation and collaboration to transform how businesses leverage their data.
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