Interactive data insights are rapidly redefining how businesses navigate decisions, turning static dashboards into dynamic tools that inform action in real time.
As enterprise demands outpace traditional business intelligence capabilities, platforms such as Amazon QuickSight are stepping in with a more intuitive, accessible approach. QuickSight blends ease of use with deep analytical power — making it possible for users at any skill level to dive into data, explore trends and ask complex questions through natural language. The result is a smarter, faster path to decisions that matter, from frontline operations to executive strategy sessions, according to Jose Kunnackal (pictured), director of Amazon QuickSight at Amazon Web Services Inc.
AWS’s Jose Kunnackal talks with theCUBE about the transformative power of interactive data insights.
“We’ve had QuickSight for a number of years, which is our cloud-native BI product,” Kunnackal said. “It offers everything from dashboards to Pixel-perfect reports to embedded analytics that you can add into your own products. In QuickSight, we launched Q back in 2021, which was a natural language interface that would allow you to ask questions of your data. Over the last few years, we introduced a larger portfolio of Q services, which is Q Developer, which is helping developers code faster and better, especially with generative AI coming in.”
Kunnackal spoke with theCUBE’s John Furrier at the AWS Mid-Year Leadership Summit, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed how AWS is leading the charge with interactive data insights.
Embedding interactive data insights into today’s agile enterprise world
Amazon QuickSight significantly enhances interactive data insights, enabling faster and smarter decision-making across organizations. By transforming static reports into dynamic, real-time decision tools, QuickSight empowers enterprises with AI-powered and easily accessible BI. This drives greater agility, innovation and responsiveness, Kunnackal pointed out.
“Whole Foods recently switched to QuickSight and the thing is, they do have store managers, like over 25,000 users across their stores,” he said. “These folks need access to dashboards, they need to be able to quickly look at the data and they get access at a certain level. The idea is that you have this easy-to-use interface that’s off-console and you can go and ask questions. You’ve got Q Business which allows you to go against your unstructured data. There’s a lot of enterprise knowledge that’s not in databases, not in data warehouses or data lakes. It became possible for Generative AI to unlock this value.”
QuickSight democratizes data by making BI accessible to users of all technical levels across an organization. This broad accessibility fosters faster decision-making, smarter strategies and a more agile, insight-driven enterprise, according to Kunnackal.
“One of the reasons why we started out with QuickSight a long time back was this question from customers of how they scale insights to every user,” he said. “Data and insights are not just for the CEO or the managers, it’s for every user because every user needs to know, ‘Hey, what’s happening? How many pieces of inventory do I have left? What do I need to do?’ That became difficult with traditional products, especially in the BI space because these were all built on some kind of server.”
The Scenarios capability of Amazon Q in QuickSight significantly enhances user experience by leveraging agentic AI to enable more intuitive, proactive and contextual data exploration. These Scenarios are guided workflows that offer pre-built context around specific business questions — such as ‘Why did sales drop last quarter?’— empowering users to quickly uncover actionable insights, according to Kunnackal.
“We launched something called Scenarios, one of our advances in generative BI. That’s been very interesting to a lot of customers and we’ve also had a lot more going on,” he said. “With Scenarios, we are bringing in Agentic AI in order for users to ask that question and then continue from that. So, let Q and let the system think about the problem, come back with a plan and then work through it.”
Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of the AWS Mid-Year Leadership Summit:
Photo: SiliconANGLE
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