About Querri 2.0
Querri 2.0 is an AI-driven data analyst that lets teams connect, clean, analyze, and visualize datasets using natural-language prompts and interactive dashboards. It focuses on making common data tasks accessible to users who do not write SQL or build complex spreadsheets.
Review
Querri 2.0 aims to shorten the path from question to answer by converting plain-language queries into charts and dashboards that can be shared across a team. The updated interface and expanded set of connectors reduce friction when bringing in data from databases or cloud storage, while features like prompt-to-Excel address common reporting workflows.
Key Features
- Natural-language to dashboards: type a question and receive a generated dashboard or suggested visualizations.
- Multiple data integrations: connect to databases and services (e.g., BigQuery, MySQL, SQL Server, QuickBooks, HubSpot) and to cloud spreadsheets from Google Drive or OneDrive.
- Drag-and-drop, interactive dashboards for arranging and refining visualizations without code.
- Prompt-to-formatted-Excel export for producing cleaned, presentation-ready spreadsheets from simple prompts.
- Automated workflows and shareable reports with audit trails for actions and changes.
Pricing and Value
Querri 2.0 offers a free option to get started, and at launch there are time-limited discounts such as a 50% off promotional period. Paid plans are structured as subscription tiers (monthly or annual), with higher tiers unlocking more connectors, larger data limits, and advanced automation. The value proposition is mainly time saved: fewer manual steps for cleaning and visualizing data, less dependence on in-house SQL expertise, and faster delivery of insights to stakeholders.
Pros
- Very approachable for non-technical users-natural-language queries reduce the need to learn SQL or complex spreadsheet tricks.
- Wide range of connectors makes it straightforward to centralize data from common business systems and cloud files.
- Quick creation of dashboards and formatted Excel outputs saves time on recurring reporting tasks.
- Interactive dashboards and share options support collaboration and handoffs within teams.
Cons
- Results depend on data quality; messy or poorly structured sources may still require cleanup or human review.
- Not intended for highly custom statistical modeling or complex, low-level SQL tuning-advanced users may still need traditional tools.
- Organizations handling sensitive data will want to validate security, compliance, and data governance details before full adoption.
Querri 2.0 is well suited for startups, operations and marketing teams, consultants, and anyone who needs faster, less technical access to business insights. It makes sense for groups looking to reduce manual reporting work and get clear visual answers quickly, while teams with heavy custom modeling needs should view it as a complementary tool rather than a complete replacement.
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