Original Summary

Business intelligence is changing. AI can now do more than turn a question into a single SQL query: it can investigate a question through a series of queries, examining the result of one query to decide what to query next.<p>Today, to answer a business question against a database, analysts use a tool like Tableau: they select relevant data, build an initial view using fields, filters, calculations, and visualizations, then look for patterns or anomalies. They form hypotheses and test them — filtering by region, drilling into customer cohorts, comparing time periods, or creating calculations to validate or rule out an explanation. They repeat this process until the evidence supports an answer, then save a workbook or dashboard for others to review and monitor.<p>With a single question, AI can now perform much of this exploratory loop: it can investigate the data, follow the evidence through multiple queries, and present the supporting analysis. This is agentic data analysis — AI autonomously decides what to investigate next based on the results it has already found.<p>Reportr puts agentic AI at the center of the experience, then builds complementary capabilities around it to address AI&#x27;s limitations:<p>SEMANTIC LAYER<p>Production databases are rarely clean: columns that are no longer used, cryptic names like status2, misc, or flag, columns whose meaning has quietly shifted over time, tables that linger long after their purpose is gone, and so on. This is known as schema rot. AI tools guess wrong against schemas like this. Reportr&#x27;s semantic layer lets you give tables and columns business-friendly names and descriptions, document relationships, capture business rules, and flag what AI should ignore — so it&#x27;s working from what your data means, not just what it&#x27;s called.<p>USER OVERSIGHT<p>AI-generated answers can be wrong. Reportr lets you inspect the SQL executed to arrive at an answer. It also provides explanations of what the SQL does (understandable by business users), and how it works (intended for technical users). You can review the analysis rather than simply accepting AI&#x27;s conclusions.<p>REPORTS AND DASHBOARDS<p>Chat is ephemeral. Every conversation starts fresh, and that&#x27;s fine for exploration — but not for information you need every week. When a chart or table reveals something worth tracking, save it as a report. Combine reports into dashboards to monitor changes over time, share findings, and keep important insights accessible without having to ask the same questions again.<p>CENTRALIZED MANAGEMENT<p>Reportr is a web application — there&#x27;s nothing to install, nothing to update, and no desktop app to manage across your team. Database connection strings, AI keys, are all managed centrally. Reportr can connect to all supported databases directly, MCP servers and drivers are not needed.<p>FREE FOR SMALL TEAMS<p>You and up to three coworkers can use Reportr with no subscription fee. You pay OpenAI or Anthropic directly for AI model usage, with affordable options such as gpt-6-luna.<p>GIVE IT A WHIRL<p>Visit <a href="https:&#x2F;&#x2F;reportr.com" rel="nofollow">https:&#x2F;&#x2F;reportr.com</a> to give it a try. We look forward to getting your feedback.<p>Reportr is easy to try: you can provision a sample database with the press of a button and start asking questions right away. Or connect your own database and analyze your own data. You can ask up to five questions for free.

  • 情报分类：商业与市场研究
  • 分类依据：内容涉及商业、投资或市场动态
  • 信息来源：Hacker News 新项目
  • 发布时间：2026/10/1 00:16:17