decube | Data Observability, Catalog and Governance

decube is a unified platform that integrates with your data stack enabling you to effortlessly monitor, manage and govern your data assets with its Data Observability, Catalog and Governance modules.

decube's Data Observability module enables data teams to understand the state and the quality of their data across their data infrastructure including data pipelines. With decube's automated and custom data quality test functionality, data teams are able to continuously monitor their data pipelines and receive alerts on their preferred communication tools (MS Teams, Webhook, Email or Slack) on failures. This drastically reduces the time and effort needed to identify and resolve data quality incidents allowing data engineers to be more productivity.

In addition to that, we have observed a very common challenge among companies embracing the data driven culture, where there's a great lack of visibility and understanding of the available data in their organisation. This hampers the organisation from making strategic business decisions at the right time. With decube's Data Catalog module, organisations are able to seamlessly discover the available data in their organisation and provide meaningful definitions to their data serving as a knowledge base to align everybody's understanding of the data.

Govern access to sensitive and regulated unstructured data across applications, files and storage devices.

Once you have the visibility of your data in your organisation it's very important that you govern the collection, storage, use and dissemination of data in your organisation. By governing your data, you will be able to avoid the costly consequence of poor data management. decube's Data Governance module comes equipped with the below listed critical functionalities:

1. Automated data classification: classifies data based on its sensitivity allowing organization to have visibility on the type of data owned and effectively prioritise security efforts to protect their most critical data.
2. Data lineage: provides the visibility on the journey of the data from its source to the destination.
3. Policy management: This pertains to the creation, implementation, and enforcement of rules and guidelines. In the context of data governance, these rules could be about who has access to certain datasets, the quality checks data must undergo, retention policies, and more.
4. Approval flow: enforces a change review process before a specific change is applied. This ensures reliable information is stored and managed within decube.
5. Group management: granular access management functionality, enabling organisations to grant the right level of access for the data assets to its users.