Atlan
Case Studies
Data Governance and Active Metadata Management: A Case Study on Elastic
Overview
Data Governance and Active Metadata Management: A Case Study on ElasticAtlan |
Infrastructure as a Service (IaaS) - Cloud Middleware & Microservices Sensors - Autonomous Driving Sensors | |
Buildings Cement | |
Quality Assurance Sales & Marketing | |
Inventory Management Time Sensitive Networking | |
System Integration Training | |
Operational Impact
The adoption of Atlan has led to several operational benefits for Elastic. It has helped the company address pipeline breakages and errors proactively, advancing Elastic’s principle of transparency and building trust with stakeholders. Atlan's integration with Jira and dbt has allowed the team to automate alerts, further improving efficiency. The tool has also helped Elastic identify the most and least used assets in their data warehouse, and the cost to execute queries, enabling them to optimize the performance and cost of their data estate. Looking forward, Elastic plans to drive ownership and accountability, drive adoption through personalization, and maximize the return on investment on critical data technology. | |
Quantitative Benefit
Elastic spent roughly 4 weeks to integrate key data sources and invite a core set of users. | |
Elastic has been on the Atlan journey for 9 or 10 months, making significant strides across enriching data assets, defining terms, and utilizing automated lineage. | |
Elastic has had 572 Chrome Extension views, indicating growing engagement from end users. | |