Excel-to-dashboard analysis
Attach an .xlsx file to the agent, ask for analysis or a dashboard, and let Basedash read the rows, infer column types, and build visualizations without formulas or pivot tables.
Basedash is an AI business intelligence platform that analyzes data, builds dashboards, and lets teams work with Excel files both ways.
Basedash is an AI-native business intelligence platform that helps teams ask questions of their data, build dashboards, and share answers without writing SQL. The Excel launch extends that workflow to spreadsheets: users can attach an .xlsx file, ask the agent to analyze it, and get charts and dashboards built from the file’s contents.
The product is designed for teams that already work in Excel but need a more live, collaborative way to explore numbers and present results. Basedash reads spreadsheet data, infers structure, writes and verifies queries, and can export chart data back to .xlsx when a spreadsheet handoff is the next step.
Attach an .xlsx file to the agent, ask for analysis or a dashboard, and let Basedash read the rows, infer column types, and build visualizations without formulas or pivot tables.
Ask follow-up questions, drill into numbers, or add another file while keeping the same analysis session active.
Export a chart’s underlying data back to .xlsx with one click so spreadsheet work can continue outside the app.
Use the AI data analyst to turn plain-English questions into trusted answers, charts, and next steps, with query validation against schema and shared metrics.
Deploy through agent, container, or Kubernetes paths, including self-hosted deployments inside your own infrastructure.
Connect through a broad data layer and team surfaces that include Slack, embedding, automations, and MCP server support on the pricing page.
Upload a spreadsheet when you need a dashboard quickly and do not want to rebuild the data model elsewhere. The agent can read the file, infer the columns, and assemble charts from the existing workbook.
Ask questions like what drove a jump in revenue or how a metric changed over time, then continue the conversation with follow-up questions until the analysis is complete.
Use the export flow when the next step happens in Excel, such as sharing numbers with a team member who prefers spreadsheets or continuing work in an existing workbook process.
Use Basedash to create live dashboards and collaborate around the same data, especially when the spreadsheet is only the starting point for a broader reporting workflow.
Choose self-hosting or VPC-based deployment when analytics must stay inside a controlled network boundary and align with enterprise infrastructure requirements.
Yes. The pricing page says every team can start with a 14-day free trial with no credit card required and full feature access.
Yes. The pricing page lists self-hosting for enterprise plans, and the self-hosting page explains deployment options on your own infrastructure, including VPC-based environments.
Basedash for Excel works by attaching an .xlsx file to the agent, asking it to analyze or chart the data, and then exporting chart data back to Excel when needed.
The source pages describe Basedash as a place to ask questions in plain English, build charts and dashboards, and keep the conversation going with follow-up questions or additional files.
Basedash is positioned for teams that want AI-native analytics on their own data, including dashboards, chat, automated insights, and enterprise controls.