Towards Self-Service Analytics: 20 Real Metadata Use Cases in 20 Minutes With Atlan

There has been a ton of talk about data catalogs. However, the reality is that data catalogs are just one of the many use cases of active metadata.
By activating metadata, data teams can unlock a variety of use cases like column-level lineage, programmatic governance, root cause analysis, proactive upstream alerts, dynamic pipeline optimization, cost optimization, data deprecation, automated quality control, metrics management, and more.
In this 20-minute talk, Prukalpa Sankar co-founder of Atlan talks about 20 of these use cases and how data teams have been able to save 43% of analyst time, reduce 80% of Slack messages per data engineer, 98% time on RCA, and more!

1. Streamline analyst “service” requests
2. Streamline data/analytics engineer “service” requests
3. Speed data team onboarding & ramp-up
4. Speed up root cause analysis
5. Prevent breaking changes
6. Active data trust management
7. Active Change Alerting
8. Data Platform Migrations
9. Manage security classifications
10. Programmatically raise security alerts
11. Programmatically archive data
12. Data Access Management
13. Compliance & Audit Reporting
14. Data Deletion Requests
15. Optimize data stack spending
16. Active spend optimization
17. Active performance optimization
18. Write better SQL queries with context
19. Make decisions self-service for business
20. Enable data teams that can change the world

Atlan — The Only Data Catalog That Activates Your Metadata
Atlan is the leading active metadata platform for modern data teams. It creates a single source of truth by acting as a collaborative workspace for data teams and bringing context back into the tools where data teams live. Atlan features deep integrations across the modern data stack, including Slack, Snowflake, dbt Labs, Fivetran, Redshift, Looker, and Tableau. A pioneer in the space, Atlan was named a Leader in the Forrester Wave™: Enterprise Data Catalogs for DataOps and was recognized by Gartner seven times in 2021.

🚀  Learn more about how Atlan is building the future of data catalogs and data collaboration: https://atln.cm/y/why-we-are-different
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0:00 Introduction
0:18 Streamline analyst "service" requests
2:20 Streamline data/analytics engineer
3:26 Speed data team onboarding & ramp-up
5:04 From Doubt to Trust
6:11 Speed up root cause analysis
6:56 Prevent breaking changes
8:18 6 Active data trust management
10:38 Manage security classifications
11:39 Programmatically raise security alerts
13:34 Programmatically archive data
15:30 Optimize data stack spending
17:05 Write better SQL queries with context
17:57 Make decisions self-service for business