5 Business Benefits of Yellowfin NLQ

As part of our series on natural language query (NLQ), this blog details 5 benefits of using Guided NLQ, and how it differs from search-based NLQ to bring true self-service BI. Many analytics vendors today offer search-based NLQ tools. To explore data and find insights, you must use free text, but you also have to know what, or how to pose a query. The problem here is obvious: There is no guidance on what to ask your data, or how you can use the tool to ask questions and get helpful answers.

Data & Analytics - Logi Symphony Heritage Introduction

They say dashboards are dead. They say BI is for dinosaurs. They say AI is going to change everything. And they're right. The way applications work, the way people interact with data, it's all getting rewritten. Now, imagine if some of the biggest names in data and analytics over the last twenty five years came together to build something completely new, something designed for this AI first world. Wouldn't that be something? What if we went to the people who pioneered the best and most flexible visualization controls ever created? The ones that powered modern web app and experiences.

7 Key Benefits of Data Visualization Tools

Data visualization is one of the most important capabilities of any business intelligence (BI) and analytics solution. It helps people translate complex data into a visual context, like a chart or a graph, identify trends numbers alone can't easily reveal, and discover hidden patterns in your dashboard. Data visualization also provides a wealth of additional benefits for data analysis, such as enabling easier understanding of the correlation between operations and results.

"Let's Connect Async:" How To Build a Better Asynchronous Culture

You may have noticed that the phrase “Let’s take that offline” is gradually being replaced by “Let’s connect async.” Both expressions are a type of white flag, surrendering to the reality that a tricky issue needs to be resolved in a private conversation rather than in a group call. It’s often music to the attendees’ ears because it means the meeting is almost over.

Is Data Integration the Real Engine Behind Effective AI Agents? #aiagents

Jay Mishra, our Chief Product and Technology Officer, explains why quality data is the true driving force behind successful AI agents. He also shares how Astera AI Agent Builder seamlessly connects to both internal and external data sources, ensuring that your AI agents are data-driven and ready to deliver powerful results.

Astera ReportMiner Demo (Version 11.1)

In this demo, you will see how Astera ReportMiner can ingest data from any source, extract it from any format, process it, and deliver it to your preferred destinations with complete end-to-end automation. This removes the need for manual effort, improves data accuracy, and gives you full control over your document processing workflows. From invoices and purchase orders to scanned PDFs and complex reports, ReportMiner helps you automate the entire document lifecycle. It handles everything from extraction and validation to integration, all within a unified and no-code platform.

Why Data Teams Are Best-Positioned For Agentic AI Success With Data Integration and MCPs

Building AI agents is the first step, and it’s positive to see enterprises exploring this avenue. But it’s only the first step. For true enterprise value, these agents must seamlessly connect to your data ecosystem through robust integration, standardized protocols, and be guided by knowledgeable data teams. The need to give AI agents access to data and connect them to the necessary tools and functions has led to the creation of the Model Context Protocol (MCP).

From Harmony to Outcomes: Doing Data Differently at Qlik Connect

Qlik Connect this year started a little differently. Not with slides. Not with a video. But with a few minutes of unified harmony. On stage stood the Barcelona Guitar Quartet — except instead of four guitars, there was only one. And yet the sound that emerged was rich, layered, and astonishing. If you had closed your eyes, you’d have sworn it was a full band. It was a masterclass in collaboration.

A Vision for the Future: Qlik's New Agentic AI Experience

The future of data and analytics will be nothing like the experience we're used to today. We are at the beginning of a transformation that will fundamentally reshape how businesses use data, make decisions, and create value. At the center of this revolution is Agentic AI. Agentic AI fundamentally changes the way we work with data – moving from passive, reactive AI systems to autonomous, goal-oriented agents capable of reasoning, planning, and executing complex tasks across diverse data landscapes.