Dataset Ownership Management

The best way to manage ownership and responsibility of all your datasets.

Talk to an expert

Learn more

Data teams have more datasets and mutations than ever before. Data is often lost or outdated and no one has enough context to understand why it exists, from where it was sourced, and how to leverage it.

Manage the history, lineage, and mutations of each dataset in your organization

Establish ownership and responsibility of each dataset in your organization. Once you understand who has the most context; teams know it’s lineage, the history of it’s changes, and how to use it securely.

Talk to an expert

Learn more

Data governance with up-to-date ownership and lineage of your data

Apply rules and responsibility to each dataset to provide compliance auditing, improve risk management, and ensure data is stored and processed in line with organizational policies and regulatory standards. Bringing data contracts into code.

Talk to an expert

Learn more

Manage data in constant flux

Data changes over time. In order to provide value to your business, your data must be properly organized and managed. Data lineage and ownership provides tracking capabilities that make it possible to reconcile and make the best use of old, new, and mutated datasets.

Simplify data migrations

Data migrations become more and more complicated as your datasets grow. By knowing the location and lifecycle of data sources, you can quickly identify the changes to monitor to avoid data loss.

Improve data quality

By improving data tagging and classification, you can ensure better data quality and upkeep. Stale or outdated data will only lead to poor outcomes.

Dataset Ownership Management

The best way to manage ownership and responsibility of all your datasets.

Talk to an expert

Learn more

Data teams have more datasets and mutations than ever before. Data is often lost or outdated and no one has enough context to understand why it exists, from where it was sourced, and how to leverage it.

Manage the history, lineage, and mutations of each dataset in your organization

Establish ownership and responsibility of each dataset in your organization. Once you understand who has the most context; teams know it’s lineage, the history of it’s changes, and how to use it securely.

Talk to an expert

Learn more

Data governance with up-to-date ownership and lineage of your data

Apply rules and responsibility to each dataset to provide compliance auditing, improve risk management, and ensure data is stored and processed in line with organizational policies and regulatory standards. Bringing data contracts into code.

Talk to an expert

Learn more

Manage data in constant flux

Data changes over time. In order to provide value to your business, your data must be properly organized and managed. Data lineage and ownership provides tracking capabilities that make it possible to reconcile and make the best use of old, new, and mutated datasets.

Simplify data migrations

Data migrations become more and more complicated as your datasets grow. By knowing the location and lifecycle of data sources, you can quickly identify the changes to monitor to avoid data loss.

Improve data quality

By improving data tagging and classification, you can ensure better data quality and upkeep. Stale or outdated data will only lead to poor outcomes.

Dataset Ownership Management

The best way to manage ownership and responsibility of all your datasets.

Talk to an expert

Learn more

Data teams have more datasets and mutations than ever before. Data is often lost or outdated and no one has enough context to understand why it exists, from where it was sourced, and how to leverage it.

Manage the history, lineage, and mutations of each dataset in your organization

Establish ownership and responsibility of each dataset in your organization. Once you understand who has the most context; teams know it’s lineage, the history of it’s changes, and how to use it securely.

Talk to an expert

Learn more

Data governance with up-to-date ownership and lineage of your data

Apply rules and responsibility to each dataset to provide compliance auditing, improve risk management, and ensure data is stored and processed in line with organizational policies and regulatory standards. Bringing data contracts into code.

Talk to an expert

Learn more

Manage data in constant flux

Data changes over time. In order to provide value to your business, your data must be properly organized and managed. Data lineage and ownership provides tracking capabilities that make it possible to reconcile and make the best use of old, new, and mutated datasets.

Simplify data migrations

Data migrations become more and more complicated as your datasets grow. By knowing the location and lifecycle of data sources, you can quickly identify the changes to monitor to avoid data loss.

Improve data quality

By improving data tagging and classification, you can ensure better data quality and upkeep. Stale or outdated data will only lead to poor outcomes.

Dataset Ownership Management

The best way to manage ownership and responsibility of all your datasets.

Talk to an expert

Learn more

Data teams have more datasets and mutations than ever before. Data is often lost or outdated and no one has enough context to understand why it exists, from where it was sourced, and how to leverage it.

Manage the history, lineage, and mutations of each dataset in your organization

Establish ownership and responsibility of each dataset in your organization. Once you understand who has the most context; teams know it’s lineage, the history of it’s changes, and how to use it securely.

Talk to an expert

Learn more

Data governance with up-to-date ownership and lineage of your data

Apply rules and responsibility to each dataset to provide compliance auditing, improve risk management, and ensure data is stored and processed in line with organizational policies and regulatory standards. Bringing data contracts into code.

Talk to an expert

Learn more

Manage data in constant flux

Data changes over time. In order to provide value to your business, your data must be properly organized and managed. Data lineage and ownership provides tracking capabilities that make it possible to reconcile and make the best use of old, new, and mutated datasets.

Simplify data migrations

Data migrations become more and more complicated as your datasets grow. By knowing the location and lifecycle of data sources, you can quickly identify the changes to monitor to avoid data loss.

Improve data quality

By improving data tagging and classification, you can ensure better data quality and upkeep. Stale or outdated data will only lead to poor outcomes.