Transforming Data Analysis: Querri's January Updates Make AI an Agentic Partner

Over the past month, we've focused on making Querri the most intuitive and adaptable choice among AI tools for data analysis. Our goal isn't just to build a smarter system—we're here to create a genuine partnership between users and AI that enhances your entire data workflow. Querri's approach has always provided users with clear insight into each step of the AI-driven analysis process, and with our January release, we're raising the bar for both transparency and usability. Now you have more visibility, control, and flexibility, empowering you to collaborate with Querri as your trusted AI teammate.

Here's how these updates make Querri the go-to platform for practical, approachable AI-powered analytics and AI data visualization—all designed to fit seamlessly into your daily work.

Agentic File Preprocessing: Your Files Just Work Now

One of the biggest frustrations with many AI tools for data analysis is the assumption that your files are already clean and ready to use. In real-world business environments, that's rarely the case—data comes with headers, total rows, scattered blanks, and unique formatting challenges.

With our Agentic File Preprocessing, we've transformed that experience. Now, when you upload a file, Querri's preprocessing agent does the heavy lifting for you:

• Report headers and metadata rows are automatically managed, so your uploads don't break.

• Footer rows with totals are excluded to prevent double-counting in your analyses.

• Embedded tables are detected and split up for individual analysis.

• Non-standard delimiters, like pipes or semicolons, are identified and handled.

This means you can upload raw exports straight from your business systems—Querri adapts to your data, streamlining the process and freeing you up to focus on insights instead of cleaning.

Data Flow Overhaul: See the Logic Behind Every Answer

One of the top requests from users of AI-powered analytics platforms is greater clarity into how results are produced. With Querri's newly redesigned Data Flow panel, you can move between our natural language chat for questions and a visual, step-by-step workflow that shows exactly how your data is being transformed.

Why this matters for your data analysis process:

• Granular Control: Instantly rerun any part of a project with "Run From Here"—no need to process the entire flow every time you want to test a change.

• Transparency: You can review every analytical step and see the logic the AI applies, building trust in your AI data analysis.

• Status Indicators: Real-time visuals keep you informed about what's running, what's complete, and where actions might be needed.

Interactive Tables: Take Control of Your Data

A major challenge in many AI data visualization platforms is slow, repetitive workflows when you want to adjust results. Instead of forcing you to regenerate outputs for every minor change, Querri now empowers you to edit tables directly:

• One-Click Copy: Use the new copy icon to instantly copy the entire table and paste it wherever you need—reporting, slides, or chats—with just one click.

• Full Screen View: Click the expand icon in the top right corner to view your table in full screen, making it easier to deep-dive or present your analysis.

• Sort instantly by clicking column headers.

• Adjust decimal precision for financial or count fields, making your reports clearer.

• Reorder and hide columns to focus attention on what matters most.

These table improvements combine the convenience of traditional spreadsheets with the innovation and speed of AI-driven analytics, letting you shape your results in real time.

Expanded Panel with Step Refine: Collaborative, Step-by-Step Analytics

Collaboration is at the core of effective data analysis. Querri now allows granular edits at any stage of your workflow using the Expanded Panel with Step Refine. Instead of starting over if you want a small tweak, you can:

• Access the code, the plain-English summary, and analytical logic for every step.

• Use natural language to refine a specific part of your analysis—like changing a time grouping or applying a new filter.

• Maintain the integrity of your entire workflow while adjusting only what you need.

With this, "human-in-the-loop" truly becomes a reality, placing you in partnership with your AI-powered analytics tool.

Researcher: Unlocking Insights from Unstructured Text

Not all valuable data lives in neat columns and rows. With the enhanced Researcher feature, Querri now turns messy, unstructured text—like support tickets or survey responses—into structured, actionable insights. The researcher automatically recognizes text fields and suggests extractable insights (e.g., sentiment, urgency, specific topics).

This saves time by applying consistent data extraction logic across your dataset, making qualitative input a quantifiable part of your AI data analysis and visualization strategy.

To read more about the Researcher, read our January release notes.

Operationalizing Insights: Drive & Library Integration

Analysis is only as good as its impact. The new export options make it easy to operationalize the results of your AI tools for data analysis throughout your organization:

• Export to Google Drive: Automate delivery of clean, visualized results into Google Sheets, integrating with your existing workflows.

• Querri Library: Store and reuse processed datasets, creating self-serve, curated resources for you and your team.

What This Means for You

With the January updates, Querri is here to work alongside you and your team—not just as a tool, but as a capable collaborator. You can hand off the tedious parts of data prep, quickly adapt analysis to your needs, and trust the results you share with colleagues. Querri gives you the flexibility to dig into the details, make quick adjustments, and focus on sharing real insights that drive decisions. You're not just using software—you're partnering with AI to get more done, together.

Ready to experience the difference? Log in to Querri today and see how much more efficient and insightful your data analysis and visualization can be.