Neotask hanterar din Atlan-datakatalog - Neotask-agenter dokumenterar datatillgångar, spårar lineage och styr metadata automatiskt.
Sök och upptäck datatillgångar, tabeller och kolumner i din organisation genom konversation
Dokumentera metadata, lägg till beskrivningar och hantera datakvalitetsregler automatiskt
Spåra datalineage, granska åtkomst och hantera datastyrningspolicyer direkt i chatten
Vad du kan göra
Your AI agent turns Atlan into a self-maintaining data catalog. It discovers assets, enforces governance, builds quality rules, and keeps your data estate organized - all running autonomously.
Intelligent upptäckt
Semantic search finds assets by meaning, not just name. Your agent searches across tables, dashboards, pipelines, and reports. It resolves metadata, counts assets by type, and traverses lineage to show you where data comes from and where it goes.
Styrningsautomatisering
Your agent applies Atlan tags for classification, manages announcements for data changes, and updates custom metadata fields. Governance policies stay enforced without someone manually updating the catalog after every change.
Kvalitetsregelhantering
Create, update, schedule, and delete data quality rules through conversation. Your agent builds rules from patterns it detects, schedules them to run on your cadence, and reports violations so your team can fix issues at the source.
Katalogbyggande
Your agent creates glossary terms, domains, and data products. It structures your catalog's taxonomy based on your actual data assets rather than top-down guesswork.
Varje åtgärd körs autonomt eller kräver ditt godkännande - du bestämmer.
Prova att fråga
"Search for all tables related to 'customer revenue' across our data catalog"
"Trace the lineage for the 'monthly_revenue' dashboard - where does the data originate?"
"Tag all tables in the 'finance' schema as 'PII-sensitive' and 'SOX-compliant'"
"Create a data quality rule that checks for null values in the 'email' column of every customer table"
"Add a glossary term for 'ARR' with its definition and link it to the relevant metric tables"
"What assets were added to the catalog this week? Summarize by type"
"Create a data product called 'Customer 360' that includes all customer-related assets"
"Schedule our quality rules to run every morning at 6 AM"
Proffstips
Schedule weekly catalog health checks - your agent reviews new assets, flags ungoverned tables, and suggests tags
Use approval gates for tag application in production catalogs - review governance changes before they take effect
Multi-agent teams work well for data platform teams: one agent handles discovery, another manages governance, a third builds quality rules
Lineage traversal helps you understand blast radius before making schema changes
Combine Atlan with your CI/CD integration so schema changes automatically trigger catalog updates and quality rule reviews
Multiple workspaces and capacity for larger teams.
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