Discover Metadata with Secoda’s Data Profiling Software

Designed with simplicity in mind, Secoda is incredibly easy to use and highly customizable so you can tailor it to fit seamlessly into your existing workflows.

Automate your data profiling process so you can save time and easily analyze large quantities of data.

Automate data profiling workflows across your stack

Improve Data Quality

Secoda scans all values in selected tables and calculates useful metrics such as the number of rows, percentage of distinct and empty rows, minimum and maximum values, average, median, span, and deviation. This allows you to inspect the values themselves and identify areas that require improvement.

Data teams can significantly increase data quality with Secoda by identifying common issues such as missing or duplicate data, inconsistent formatting, and incorrect data types. Easily validate that your data is always accurate, complete, and consistent.

Better Understand a Dataset, Database or Warehouse

Quickly understand every part of your data stack. Secoda gives you a bird's-eye view of your data, illuminating patterns and outliers. This helps data teams spot trends and biases, identify data types, and compare data distributions. Make better decisions about data quality and explore possibilities to improve how the data is used.

Support Governance & Compliance Efforts

Secoda provides an automated way of discovering, documenting, classifying and monitoring data sources. Automatically detect hidden data anomalies, validate the integrity of data and free up manual data quality checks. Catch errors early and take corrective action before they become bigger problems down the line and streamline your data management process

What Are the Benefits?

The benefits of data profiling include improving data quality, reducing costs, complying with regulations, and identifying new opportunities for innovation and growth. Data profiling enables organizations to understand their data and identify areas for improvement. By investing in data profiling, organizations can improve their data quality, identify new business opportunities, and drive growth and success.

Used by data-centric companies everywhere

Frequently Asked Questions

What is data profiling?

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Data profiling is the process of examining and analyzing data from various sources to understand its structure, content, relationships, and quality. It involves statistical analysis, data visualization, and machine learning algorithms to identify patterns, trends, and potential issues.

Why is data profiling important?

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Data profiling is important because it helps organizations understand their data better, identify areas for improvement, and optimize their data to unlock its full potential. By proactively profiling data, organizations can identify and address data quality issues before they become a problem, leading to better decision-making and a competitive advantage in the marketplace.

What are the common data quality issues that data profiling can identify?

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Data profiling can identify common data quality issues such as missing or duplicate data, inconsistent data formatting, and incorrect data types. These issues can negatively impact the accuracy and consistency of data analysis and decision-making.

How does data profiling support data governance efforts?

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Data profiling is a vital component of data governance, which refers to managing data assets within an organization. By proactively profiling data, organizations can identify and address data quality issues before they become a problem. This ensures that their data remains accurate, complete, and consistent over time, leading to better decision-making and a competitive advantage in the marketplace.

What techniques are used in data profiling?

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Data profiling involves statistical analysis, data visualization, and machine learning algorithms. These techniques help organizations understand their data better and identify patterns and trends that may not be immediately apparent.

How can data profiling help organizations comply with regulations and standards related to data privacy and security?

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Data profiling can help organizations comply with various regulations and standards related to data privacy and security by understanding the structure and content of their data. By identifying potential issues, organizations can ensure that they are meeting the necessary requirements and avoid penalties and fines.

Built for data security & privacy

SOC 2 Compliant

Secoda is SOC 2 complaint. The way we process and store client data is secure and protected, based on standards set by the AICPA.

Host in a self-hosted environment

You can host Secoda in a self-hosted environment, behind your own VPN, and in your own VPC. Deploy via Terraform or Docker.

SAML, SSO and MFA

Sign in with the services you already use, including Google and Microsoft SSO, Okta, MFA and SAML

SSH Tunnelling

Securely move data from your private databases to Secoda with SSH tunnelling.

Auto PII Tagging

Get control to remove or leave out sensitive datasets from your syncs or mark it automatically in Secoda

Data encryption

The managed with Secoda is fully encrypted in transit and at rest. We do not see the data we are moving.

What our customers are saying

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!

Business Intelligence Engineer

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.

Head of Data Science

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!

Manager of Analytics
Make sense of all your data knowledge in minutes