Claude can now build live dashboards from your company data and create animated explainers from text and charts. Dashboards connect to platforms like BigQuery and Salesforce, while Motion turns ideas into MP4 animations you can edit.

• Claude Dashboards lets you ask plain-language questions of connected data sources (BigQuery, Databricks, Snowflake, Salesforce) and automatically generates live dashboards that stay current as data changes
• Claude Motion converts text, charts, and images into animated videos without using AI video generation—the output is code you can edit and export as MP4
• Docs, Slides, and Design are now out of beta and available on all Claude plans including Free, with enterprise features like CMEK support and team collaboration

This post advises readers who’ve finished Edward Tufte’s work to tackle Jacques Bertin’s principles for quantitative communication. It notes that Bertin’s lessons have guided the reallocation of billions of dollars.

• After finishing Tufte's "Visual Display of Quantitative Information," the recommended next read is Bertin's "Semiology of Graphics."
• Bertin's framework organizes visualization around visual variables—position, size, shape, value, color, orientation, texture—for mapping complex, multi-dimensional data.
• The tweet claims billions of dollars in budget/spending decisions have been reallocated based on lessons from Bertin's text.

Anthropic’s Claude Cowork introduces live artifacts as an alternative to static dashboards. The feature is still in early testing with no formal release, and users have reported reliability and scaling challenges. Organizations will need to set up permissions, access controls, and audit trails before connecting live data sources.

• Claude Cowork is testing live artifacts that pull real-time data from databases, spreadsheets, or warehouses to generate dynamic charts and reports instead of static dashboards, replacing manual design with conversational queries.
• It's still unreleased and access-tier limited, with reported glitches like dropped queries and timeouts when scaled up.
• Live data connections require strict permissions, encryption, and audit logging to prevent leaks or manipulation of sensitive figures.
• Recommended for now only as a proof-of-concept on small datasets with tight access controls, not for mission-critical use.

The article outlines five steps to turn AI-generated dashboards from eye candy into actionable tools. It covers defining clear questions, matching chart types to those questions, intentional design (colors, layout, context), narrative flow, and thoughtful interactivity. It also shares prompt examples and tips to enforce these rules in any AI charting tool.

• Before prompting an AI for charts, nail down who's looking, what decision they'll make, and the one key takeaway—otherwise you get eye candy that tells you nothing.
• Match chart type to question: line charts for trends, bar charts for rankings, scatter plots for correlations, and skip pie charts with many slices, 3D effects, dual axes, and spaghetti charts.
• Limit dashboards to five meaningful colors, start bar axes at zero, and add context markers like a WHO guideline line or a COVID-lockdown marker.
• In the WHO air quality example, 93% of cities exceed safe PM2.5 limits, and framing the dashboard as normal levels → problem → improvements (e.g., China's Blue Sky Policy) → next steps turns it into a narrative rather than just charts.

mviz is a Claude skill that simplifies the creation of static reports for ad hoc data analysis by converting compact JSON specifications into professional HTML visualizations. It emphasizes a fast, AI-driven workflow that allows users to iterate quickly, generate reports, and utilize a variety of chart types without extensive coding. The tool works seamlessly with data from various sources, including local files and cloud databases.

• Mviz is a Claude skill that turns compact JSON specs into polished HTML reports/charts, prioritizing speed over BI-style reusability.
• Workflow: build context via natural-language queries (Claude writes the SQL), form a narrative, generate an initial chart, then iterate with follow-up commands.
• Supports many chart types (bar, line, heatmaps, funnels, tables, KPIs) laid out in a customizable 16-column grid.
• Can pull data directly from local files or cloud databases, producing clean, responsive output suitable for print or digital sharing.

Superset is a modern, enterprise-ready business intelligence web application designed for data exploration and visualization. It offers a no-code interface, a powerful SQL editor, and support for various SQL databases, making it a flexible alternative to proprietary BI tools. The platform is highly extensible and built for scalability in cloud environments.

• Offers a no-code interface alongside a powerful SQL editor, appealing to both business users and analysts
• Supports a wide range of SQL databases, positioning it as a flexible alternative to proprietary BI tools
• Built to be highly extensible and scalable for cloud environments