𝗔𝘀𝘁𝗿𝗮𝘁𝗼 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗶𝘀 𝗮 𝘄𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗲-𝗻𝗮𝘁𝗶𝘃𝗲 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝘁𝗵𝗮𝘁 𝗲𝗻𝗮𝗯𝗹𝗲𝘀 𝗼𝗿𝗴𝗮𝗻𝗶𝘀𝗮𝘁𝗶𝗼𝗻𝘀 𝘁𝗼 𝗯𝘂𝗶𝗹𝗱, 𝗲𝗺𝗯𝗲𝗱, 𝗮𝗻𝗱 𝘀𝗵𝗮𝗿𝗲 𝗶𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝘃𝗲 𝗱𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱𝘀 𝗮𝗻𝗱 𝗱𝗮𝘁𝗮 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗱𝗶𝗿𝗲𝗰𝘁𝗹𝘆 𝗼𝗻 𝘁𝗼𝗽 𝗼𝗳 𝗰𝗹𝗼𝘂𝗱 𝗱𝗮𝘁𝗮 𝘄𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗲𝘀 𝗶𝗻𝗰𝗹𝘂𝗱𝗶𝗻𝗴 𝗦𝗻𝗼𝘄𝗳𝗹𝗮𝗸𝗲, 𝗕𝗶𝗴𝗤𝘂𝗲𝗿𝘆, 𝗗𝗮𝘁𝗮𝗯𝗿𝗶𝗰𝗸𝘀, 𝗖𝗹𝗶𝗰𝗸𝗛𝗼𝘂𝘀𝗲, 𝗦𝘂𝗽𝗮𝗯𝗮𝘀𝗲, 𝗔𝗺𝗮𝘇𝗼𝗻 𝗥𝗲𝗱𝘀𝗵𝗶𝗳𝘁, 𝗣𝗼𝘀𝘁𝗴𝗿𝗲𝗦𝗤𝗟, 𝗮𝗻𝗱 𝗗𝗿𝗲𝗺𝗶𝗼. Astrato's zero-copy architecture connects to the warehouse via a live-query engine, which means every dashboard, report, and workflow runs against the source data in real time — without extracts, data movement, or cached copies. Security policies such as row-level access controls and PII masking are inherited directly from the warehouse, reducing governance overhead for IT and data teams. 𝗧𝗵𝗲 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝘀𝘂𝗽𝗽𝗼𝗿𝘁𝘀 𝘁𝗵𝗿𝗲𝗲 𝗽𝗿𝗶𝗺𝗮𝗿𝘆 𝘂𝘀𝗲 𝗰𝗮𝘀𝗲𝘀: • 𝗚𝘂𝗶𝗱𝗲𝗱 𝘀𝗲𝗹𝗳-𝘀𝗲𝗿𝘃𝗶𝗰𝗲 𝗕𝗜. A no-code interface with 70+ out-of-the-box chart types allows business users to explore data, build dashboards, and generate reports without SQL. A shared semantic layer ensures governed, reusable metric definitions across all users and content. No-code Actions let designers chain clicks, filters, and navigation into guided flows — so end users get an app-like experience, not a blank dashboard. • 𝗖𝘂𝘀𝘁𝗼𝗺𝗲𝗿-𝗳𝗮𝗰𝗶𝗻𝗴 𝗮𝗻𝗱 𝗶𝗻𝘁𝗲𝗿𝗻𝗮𝗹 𝗲𝗺𝗯𝗲𝗱𝗱𝗲𝗱 𝗮𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀. Fully white-labeled dashboards and workflows can be embedded into external products, portals, CRMs, ERPs, and intranet tools. Three embedding modes are supported — single object, grouped visuals, or full interactive workbooks — delivered via iframe with mobile-responsive layouts. Multi-tenant isolation is enforced at both warehouse and application level via row-level filters, group permissions, and SSO pass-through. Built-in usage telemetry tracks engagement, exploration patterns, and drop-off. • 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗱𝗮𝘁𝗮 𝗮𝗽𝗽𝘀 𝗮𝗻𝗱 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀. Writeback capabilities let users push data back into the warehouse from any dashboard, app, or embedded view — supporting planning, forecasting, approvals, and field updates. No-code forms with validation, conditional logic, and multi-step flows can be built without engineering. Action buttons can trigger stored procedures, external functions, Salesforce updates, Slack posts, and emails, so analytics drive downstream action. 𝗔𝗱𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗰𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀 𝗶𝗻𝗰𝗹𝘂𝗱𝗲: • 𝗦𝗰𝗵𝗲𝗱𝘂𝗹𝗲𝗱 𝗿𝗲𝗽𝗼𝗿𝘁𝗶𝗻𝗴 & 𝗱𝗶𝘀𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗼𝗻. Live, branded reports generated from the warehouse and delivered automatically in PDF, Excel, PowerPoint, or image format to email, Slack, Microsoft Teams, or SharePoint. Teams can upload their own Excel or PowerPoint templates and have them populated with live data at run-time. Per-recipient row-level security ensures governed distribution, and reports can be archived to S3, Google Drive, or SharePoint for audit and compliance. • 𝗚𝗲𝗻 𝗔𝗜 & 𝗕𝗜 𝗖𝗼𝗽𝗶𝗹𝗼𝘁. Contextual AI Insights generate summaries that regenerate as users filter and drill. BI Copilot accelerates build time by generating chart titles, business-friendly field labels, and complex measures like YoY growth or retention from plain-language input. Custom Report lets end users ask questions in natural language and get visualizations back. Every AI output is grounded in the semantic layer. Bring your own LLM — Snowflake Cortex, OpenAI, Azure OpenAI, Claude by Anthropic, or Google Gemini — or use the default provider. With Snowflake Cortex, queries execute inside the warehouse and data never leaves. Admins control AI features via independent per-capability toggles. • 𝗘𝗺𝗯𝗲𝗱𝗱𝗶𝗻𝗴 𝗮𝗻𝗱 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻. Dashboards can be embedded with full white-label control over colours, fonts, logos, layout, and domain. Authentication is handled via SSO pass-through, OAuth, or token-based access. SCIM and APIs support automated user provisioning at scale. • 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 & 𝗹𝗶𝗳𝗲𝗰𝘆𝗰𝗹𝗲 𝗰𝗼𝗻𝘁𝗿𝗼𝗹. Role-based access control across view, edit, design, export, and admin. Workbook lifecycle governance with draft, version, publish workflows and change tracking. Row-level security inherited from the warehouse or configured per semantic layer. • 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲-𝗴𝗿𝗮𝗱𝗲 𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 & 𝗰𝗼𝗺𝗽𝗹𝗶𝗮𝗻𝗰𝗲: SOC 2 Type II, ISO 27001 certified, HIPAA compliant, GDPR-ready. Snowflake Technology Partner and Google Cloud Ready – BigQuery. Astrato is used by data teams, product teams, and analytics leaders across SaaS companies, data businesses, agencies, and enterprises. Pricing is structured to scale with embedded use cases involving large numbers of external users.