Qlik, a leader in data integration, quality, analytics, and AI, has introduced its new Data Flow feature within Qlik Cloud Analytics.

This feature is designed to tackle the time-consuming task of preparing datasets for analytics and AI. It allows users to easily combine, clean, and organize data using a simple drag-and-drop interface. With these no-code tools, both technical and non-technical users can quickly create high-quality datasets ready for AI, without needing advanced technical skills.

Data Flow offers a flexible, visual way to prepare data for analytics and AI, addressing challenges like lengthy processes and skill gaps. Key features include:

• Drag-and-Drop Simplicity: Users can merge, clean, and shape data using an easy-to-understand visual interface, no scripting required.
• Transparency and Trust: Every action automatically generates Qlik script, so users can see the data preparation steps, building trust in the results.
• Flexible Workflows: Whether you’re a beginner or an expert, Data Flow supports no-code, low-code, and pro-code approaches to fit your skill level and project needs.
• End-to-End Integration: Fully integrated with Qlik Cloud Analytics, ensuring a smooth transition from data preparation to AI and visualizations.

By cutting down the time spent on data prep, Data Flow helps users focus more on extracting insights and making data-driven decisions.

Jon Carpenter, a systems and programming manager at Pima County, mentioned that data preparation has always been a crucial yet time-consuming part of their analytics process. With Data Flow, they hope to speed up insights and make more informed decisions.

Data preparation often takes up a lot of time for analysts, creating delays and preventing effective use of data. Data Flow tackles this by giving users, no matter their skill level, control over their data workflows.

This innovation also reflects a wider industry trend toward making analytics and AI more accessible. By helping users create high-quality, AI-ready data, Qlik is enabling organizations to reduce reliance on IT, speed up decision-making, and maintain data accuracy.

Angel Monjarás, Qlik Platform Manager at C40 Cities, said Data Flow is exactly what they needed—enabling teams to quickly create high-quality datasets without needing deep technical knowledge.

As part of Qlik’s ongoing commitment to simplifying analytics, Data Flow connects seamlessly with Qlik Talend Cloud, ensuring users have access to trusted, high-quality data.

Brendan Grady, Executive VP and GM of Qlik’s Analytics Business Unit, emphasized that data preparation is often overlooked but essential in analytics and AI. With Data Flow, a wider range of users can confidently prepare datasets for AI without needing technical expertise, removing barriers and speeding up the process from raw data to valuable insights.

Data Flow is now available to all Qlik Cloud Analytics customers, offering an easy and efficient way to prepare datasets for analytics and AI. By simplifying the process and empowering users at all skill levels, it helps organizations stay ahead in a competitive and fast-paced market.