Automations

Tag HIPAA in Bigeye

⚡️ Automation

Tag HIPAA in Bigeye with Secoda. Learn more about how you can automate workflows to turn hours into seconds. Do more with less and scale without the chaos.

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Automations

Tag HIPAA in Bigeye

⚡️ Automation

Tag HIPAA in Bigeye with Secoda. Learn more about how you can automate workflows to turn hours into seconds. Do more with less and scale without the chaos.

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Overview

Bigeye, a data observability platform, can be integrated with Secoda to tag HIPAA for data governance at scale. With Bigeye, data engineering and science teams gain access to a comprehensive set of tools that ensure the quality and reliability of their data. This integration allows for efficient monitoring and management of data, ensuring compliance with HIPAA regulations.

How it works

Bigeye, a business intelligence platform, allows you to tag data with relevant information for easier organization and access control. HIPAA (Health Insurance Portability and Accountability Act) compliance is crucial in healthcare. By tagging data containing protected health information (PHI) with "HIPAA" in Bigeye, you can automate workflows to ensure this sensitive data is handled according to regulations. This can help streamline compliance processes and minimize the risk of exposing patient privacy.

Secoda integration allows for the tagging of HIPAA through Bigeye. An Automation consists of Triggers and Actions. Triggers activate the workflow based on defined schedules, such as hourly, daily, or custom intervals. Actions encompass various operations like filtering and updating metadata, enabling the creation of customized workflows. With Secoda, bulk updates to metadata in Bigeye can be performed efficiently.

About Secoda

Secoda, an AI data governance platform, offers a comprehensive integration with Bigeye. With Secoda, companies can centralize their data catalog, lineage, documentation, and monitoring, streamlining their data management processes. By tagging HIPAA through Secoda, organizations can ensure compliance and effectively manage their data knowledge.

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