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Qlik, a Philadelphia company specialising in data integration, data quality, analytics, and artificial intelligence, has announced the launch of its new Data Flow capabilities within Qlik Cloud Analytics. This feature is designed to tackle the time-consuming challenges of preparing datasets for analytics and AI.

With an intuitive drag-and-drop interface, users can visually combine, clean, and shape data without needing advanced technical scripting skills. These no-code data preparation tools empower both technical and non-technical users to quickly and efficiently create high-quality, AI-ready datasets.

Data Flow offers a flexible and visual solution to common barriers in data preparation, such as lengthy processes and skill gaps. Key features include drag-and-drop simplicity, which allows users to seamlessly combine, clean, and shape multiple datasets through an easy-to-use interface, removing the need for scripting. Transparency is also a priority, as every action automatically generates Qlik script, providing users with visibility into their processes and building trust in the results.

Additionally, Data Flow supports a range of workflows—no-code, low-code, and pro-code—so users can tailor their approach based on their expertise and project needs. Fully integrated with Qlik Cloud Analytics, this feature enables smooth transitions from data preparation to AI applications and visualizations, streamlining the entire workflow for analytics and AI-driven insights.

By reducing the time spent on data preparation, Data Flow allows users to focus more on generating actionable insights and driving data-driven decisions.

“Efficient data preparation has always been a critical, yet time-consuming, part of our analytics process,” said Jon Carpenter, Systems and Programming Manager at Pima County. “We’re excited to see how Data Flow can help us accelerate insights and make more informed decisions.”

Data preparation is often the most time-consuming part of data projects, creating bottlenecks and hindering effective data use. Data Flow solves this by giving users control over their data workflows, regardless of their technical expertise.

This aligns with the growing industry need for broader access to analytics and AI. By empowering more users to prepare high-quality, AI-ready data, Qlik helps organizations reduce their reliance on IT, accelerate insights, and ensure data accuracy and consistency.

“Data Flow is the type of innovation we’ve been looking for—enabling teams across our organisation to quickly and easily create high-quality datasets without needing deep technical expertise,” shared Angel Monjarás, Qlik Platform Manager at C40 Cities.

Qlik Cloud Analytics customers now have access to Data Flow, which the company says is a simple and accessible way to prepare high-quality datasets for analytics and AI. By simplifying the process for all users, regardless of skill level, Data Flow hopes to accelerate the time it takes to go from data to decisions, helping organizations maintain a competitive edge in today’s fast-paced market.

The company said Data Flow is part of its commitment to simplifying analytics and connecting IT and business users. It integrates Qlik Talend Cloud’s leading data integration capabilities with Qlik Cloud Analytics, providing seamless access to trusted, high-quality data for better business outcomes.

“Data preparation is often an overlooked yet essential step in the analytics and AI process,” said Brendan Grady, Executive Vice President and General Manager of Qlik’s Analytics Business Unit. “With Data Flow, we’re enabling a broader range of users to confidently prepare AI-ready datasets without requiring technical expertise. This innovation removes traditional barriers and accelerates the journey from raw data to actionable insights, helping organisations drive value faster and more effectively.”