OpenAI-Data-Analytics

Compiled from the official website: OpenAI-Data-Analytics Plugin Home Page.

Introduction

Answer product and business questions with data.

Data Analytics helps you turn questions about your product or business into answers you can trust. Ask why a metric changed, what the data shows about where a team should focus next, how to define KPIs, whether a dataset is reliable, or how large an opportunity might be, and it can help you investigate the data and turn the findings into shareable reports, charts, dashboards, notebooks, and recommendations.

Start with the data you already have: connected warehouses, BI or product analytics tools, docs, chats, spreadsheets, uploaded files, pasted results, or clearly labeled sample data. The plugin guides you through the right workflow, checks sources where possible, and keeps the evidence visible in reviewable tables, charts, dashboards, and report apps you can share.

Apps

• Slack: Share work and pull context.
• Microsoft Teams: Microsoft Teams workplace chat and collaboration: search messages, summarize threads, send replies, manage Planner tasks.
• Notion: Create docs, tasks, databases.
• Gmail: Find and reference emails from your inbox
• Microsoft Outlook Email: Microsoft Outlook email for work conversations: search messages, summarize threads, draft replies, manage follow-ups.
• Microsoft Outlook Calendar: Microsoft Outlook calendar for scheduling work: check availability, plan meetings, create events, manage invites.
• Google Calendar: Look up events and availability
• Google Drive: Work with Google Docs, Sheets, and Slides
• BigQuery: Query and manage BigQuery datasets, tables, jobs, and routines.
• Microsoft SharePoint: Microsoft SharePoint document sites and OneDrive files: find content, summarize docs, manage folders, share resources.
• GitHub: Access repositories, issues, and pull requests. Required for some features such as Codex
• Statsig: Connect to Statsig,
• connector_20205bf7d4e99a89d7154bb849718324: App
• Hex: Ask questions, run analyses
• Deepnote: Run data workflows with agents
• Amplitude: Analyze your product data
• Mixpanel: Query and analyze Mixpanel
• PostHog: Analyze your product data
• Omni: Query business data
• ThoughtSpot Spotter: Your Al data analyst
• Databricks Genie: Leverage Genie to deeply analyze and interact with data on the Databricks platform.
• Snowflake: Connect OpenAl to Snowflake through the Snowflake-managed MCP server.
• Metabase: Query and explore your Metabase data.

Local MCP Server (STDIO)

dataAnalyticsWidgets node ./mcp/server.cjs --stdio

Skills

Analyze Data Quality

Assess tables and datasets before analysis or publication

Build Dashboard

Create source-backed dashboards for monitoring performance, exploring drivers, and acting on metrics.

Build Report

Turn reviewed evidence into polished analytical reports

Create Data Context

Create reusable data context and semantic layers

Design KPIs

Define KPIs, driver metrics, guardrails, and scorecards

Gather Business Context

Collect product and business context before analysis

Index

Route broad Data Analytics workflow and setup requests

Jupyter Notebooks

Create and validate reproducible analysis notebooks

KPI Reporting

Produce leadership-ready KPI updates and scorecards

Market Sizing

Estimate market and opportunity size with transparent assumptions

Metric Diagnostics

Diagnose metric changes, anomalies, gaps, and discrepancies

Product And Business Analysis

Analyze product or business data to support decisions

publish-artifact-to-sites

Publish a validated Data Analytics report or dashboard artifact through Sites. Use automatically for durable artifacts in any positively identified Work Mode when the full Sites lifecycle is callable, or in ChatGPT Desktop outside Work Mode only after an explicit Sites request or acceptance of the optional post-handoff sharing offer.

Validate Data

QA analysis logic, metrics, charts, and conclusions

Visualize Data

Design and QA quantitative charts for analytical work