<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>D2B Blog</title><description>AI data analysis, spreadsheets made for people, lineage and provenance, agents and MCP.</description><link>https://d2b.dev/</link><language>en</language><item><title>Messy Spreadsheets Aren&apos;t Bad Data. They&apos;re Business Data.</title><link>https://d2b.dev/blog/messy-spreadsheets-are-business-data/</link><guid isPermaLink="true">https://d2b.dev/blog/messy-spreadsheets-are-business-data/</guid><description>Merged headers, subtotal rows, three tables on one sheet, a column that is text in one month and numbers in the next. Data teams call it dirty. It is the shape business information actually takes, and the tools should meet it there.</description><pubDate>Tue, 22 Sep 2026 00:00:00 GMT</pubDate><category>messy-spreadsheets</category><category>excel-ai</category><category>ai-data-analysis</category><category>data-provenance</category></item><item><title>Why AI Data Analysis Still Sends You Back to Excel</title><link>https://d2b.dev/blog/ai-data-analysis-sends-you-back-to-excel/</link><guid isPermaLink="true">https://d2b.dev/blog/ai-data-analysis-sends-you-back-to-excel/</guid><description>An AI agent can answer a question about your spreadsheet in seconds. Then someone asks where the number came from, and you open Excel anyway. The problem is not the answer. It is everything the answer left behind.</description><pubDate>Tue, 15 Sep 2026 00:00:00 GMT</pubDate><category>ai-data-analysis</category><category>excel-ai</category><category>data-provenance</category><category>reproducible-analysis</category><category>messy-spreadsheets</category></item></channel></rss>