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Stop spending hours manually ingesting schema and metadata or recording changes in metadata. Get that time back to focus on higher-level tasks and analysis.
Automated documentation and lineage ensures that data is reliable and trustworthy, reducing the risk of errors and inconsistencies in data analysis. Everyone wins.
Book a demoWith our automation tool, you can ensure that your data is reliable and trustworthy. By automating key processes, you can reduce the risk of errors and inconsistencies, and ensure that your data is always up-to-date and accurate. This means that you can make better decisions based on your data, and avoid costly mistakes.
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As your company grows, your data management needs will become more complex. With our automation tool, you can easily scale your data management processes to meet the needs of your growing business. By automating key processes, you can save time and reduce the risk of errors, allowing you to focus on growing your business.
Book a demoWith Secoda, you can automatically record changes in metadata, making it easy to track the history of your data. This means that you can easily identify when changes were made, who made them, and why. With this information, you can quickly resolve any issues that arise, and ensure that your data is always accurate and up-to-date.
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The purpose of data automation is to streamline your data management processes and improve the accuracy and efficiency of your data analysis. By automating key processes, you can save time and reduce the risk of errors, allowing you to make better decisions based on your data.
To automate data analysis, you can use our automation tool to automatically ingest and tag your data, and automate workflows with our API. This will help you save time and improve the accuracy of your data analysis.
Data automation refers to the use of technology to automate manual data management processes. This can include tasks such as ingesting data, tagging data, and recording changes in metadata.
Data automation can benefit data teams in several ways. By automating manual processes, data teams can save time and reduce the risk of errors. This can lead to more accurate and reliable data, as well as improved productivity and efficiency.
Some common use cases for data automation include automatically ingesting and tagging data, automatically recording changes in metadata, and automating workflows with APIs. These use cases can help data teams streamline their processes and improve the accuracy and efficiency of their data management.
Some best practices for implementing data automation include starting small and focusing on key processes, involving key stakeholders in the design and implementation process, and regularly monitoring and evaluating the effectiveness of your automation efforts.
Secoda is SOC 2 complaint. The way we process and store client data is secure and protected, based on standards set by the AICPA.
Securely move data from your private databases to Secoda with SSH tunnelling.
Get control to remove or leave out sensitive datasets from your syncs or mark it automatically in Secoda
The managed with Secoda is fully encrypted in transit and at rest. We do not see the data we are moving.
Secoda is the first workspace built for data teams. Every feature and interaction is designed with data teams in mind, which means speed. Secoda combines data dictionary, data catalogue, data requests, data docs search, and data management compliance in a delightful experience, always connected to your data stack.
Secoda has made it way easier to understand what data we have and how to best make use of it. It's a game-changer!
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Secoda works really well with our evolving data stack. It gives our data science and data engineering teams the ability to work on building a common company knowledge instead of storing everything in our heads.
Secoda has made it way easier to onboard new employees at 7Shifts. Analysts are able to become operational in 10x less time. I wish I had Secoda when I first onboarded!
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