How to Evaluate a Data Catalog

Companies produce more data than ever before, yet up to 73% of all enterprise data goes unused. Choosing the right data catalog is key to simplifying data search and discovery for organizational efficiency - learn how to pick the right option in our guide.

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Evaluating a Data Catalog

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Create a single source of truth to power business decisions

A better way to manage data discovery

Easily search across all columns, tables, dashboards, events, and metrics. AI powered search lets you ask any question to your data and get a contextual answer, fast. Get answers to questions like “Can I drop customers_id without impacting other data?”

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API-first for modern workflows

Integrate data discovery into your workflow without disrupting it with our API. Perform bulk updates, tag PII data, manage tech debt, build custom integrations, identify the least used resources, and more. Eliminate manual error and have total trust in your knowledge repository.

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Never answer the same question twice

Instead of managing hundreds of data requests and jumping between Jira, Slack, and Google docs, Secoda helps teams create a data requests portal built into your workflows that's always updated and easy to use by anyone on your team.

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Prevent data outages before they happen

Secoda's automated lineage model shows you column and table level lineage across the entire data stack. Identify the impact to upstream or downstream assets and immediately notify stakeholders before changes are made. Secoda also brings quality tests into lineage to help your team work smarter and stay ahead of any data issues.

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