Qlik, a prominent player in the realms of data integration, data quality, analytics, and artificial intelligence, has rolled out its Data Flow capabilities within Qlik Cloud Analytics.
Crafted to tackle the time-consuming hurdles of preparing datasets for analytics and AI, this fresh feature empowers users to visually merge, cleanse, and structure data through an intuitive drag-and-drop interface. By diminishing the need for intricate scripting skills, these no-code data prep capabilities open doors for a wider spectrum of users – be it technical or non-technical – to swiftly and effectively create high-caliber, AI-ready datasets.
Data Flow offers a flexible, visual method to ready datasets for analytics and AI applications, addressing common obstacles like time-consuming processes and technical skill gaps. Some key highlights include:
– Drag-and-Drop Simplicity: Users can merge, cleanse, and structure multiple datasets through an intuitive visual interface, eliminating the necessity for scripting.
– Transparency and Trust: Each action automatically generates Qlik script, granting users insight into their data preparation processes and instilling confidence in the outcomes.
– Flexible Workflows: Supports no-code, low-code, and pro-code approaches, allowing users to tailor workflows based on their technical proficiency and project requisites.
– End-to-End Integration: Seamlessly integrated with Qlik Cloud Analytics, facilitating smooth transitions from data preparation to AI and visualizations.
By streamlining data preparation, Data Flow empowers users to concentrate more on generating actionable insights and steering data-driven decisions.
“Efficient data preparation has always been a pivotal, yet time-consuming, facet of our analytics process,” remarked Jon Carpenter, Systems and Programming Manager at Pima County. “We’re eager to witness how Data Flow can expedite insights and bolster informed decisions.”
Data preparation typically consumes a significant portion of analysts’ project time, causing bottlenecks and hindering effective data utilization. Data Flow confronts this challenge by empowering users to oversee their data workflows, irrespective of their technical acumen.
This breakthrough aligns with a broader industry need to broaden access to analytics and AI capabilities. By enabling a diverse user base to prepare top-notch, AI-ready data, Qlik is aiding organizations in diminishing reliance on IT resources, hastening time to insight, and ensuring data precision and uniformity.
“Data Flow is the kind of innovation we’ve been seeking – empowering teams across our organization to swiftly and effortlessly craft high-quality datasets without necessitating deep technical know-how,” shared Angel Monjarás, Qlik Platform Manager at C40 Cities.
Data Flow forms part of Qlik’s continuous endeavor to simplify analytics and bridge the IT-business user gap. It integrates Qlik Talend Cloud’s top-tier integration into Qlik Cloud Analytics, ensuring seamless access to trustworthy, high-quality data and steering meaningful outcomes.
“Data preparation is oftentimes an overlooked yet indispensable step in the analytics and AI journey,” noted Brendan Grady, Executive VP and GM of Qlik’s Analytics Business Unit. “With Data Flow, we’re empowering a broader user base to confidently prepare AI-ready datasets devoid of technical expertise. This innovation eliminates traditional barriers and expedites the transition from raw data to actionable insights, assisting organizations in driving value swiftly and effectively.”
Data Flow is now at the disposal of all Qlik Cloud Analytics customers, furnishing a seamless and accessible avenue to prepare high-quality datasets for analytics and AI. By simplifying complexity and empowering users of all proficiency levels, this feature expedites the shift from data to decisions, aiding organizations in staying competitive in a swiftly evolving market.
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