Data Governance Tools
Allow users to avoid annoying commands and take control over your data pipeline
With Aggua you can manage the availability, visibility, usability, security and integrity of your data. Enable the data team to better govern the data in a single platform using one user-friendly application.
Our governance solutions (ISO 2007, SOC-2) makes it easier to ensure compliance with laws and regulations (GDPR, CCPA). Tag sensitive assets and protect your data with auto-masking and auto-PII detection.
Data Engineering Team Lead, Artlist
Catalog your data assets according to the availability of your data – Verified; In-Review; Deprecated. Defining different status values allows you to avoid risking downtime and understanding the history and former usage of data assets.
Classify your data assets by different tags, ownership, PII and source in your data catalog to gain visibility into the flow of data across the pipeline using the lineage map.
Analyze the usability of data assets in your pipeline by popularity or type of usage according to quantity and duration of jobs running queries.
Auto-identify the level of PII across all data assets and mark the right definition for each asset according to industry standards – Non-PII; Basic (name, address, email, phone); Sensitive (SSN, salary, medical records); Confidential (government documents, ID, passport, biometric info); Critical (passwords, security codes, PIN, log-in credentials).
Our governance solutions ensures that your data is safe and follows defined role-based clearance-levels. Additionally, custom classifications and purposed-based policies allows to tailor your data governance strategy to your specific needs and access requests can be managed in your organization’s communication channels directly. You can even easily export a PII report and share the key findings with security, compliance and legal teams for internal enforcement of data integrity.
“I felt that we were in good hands, in terms of business understanding and the organizational side of things. They understood how I, as head of data, will use this tool and how my employees will use it, which are different perspectives.”
Head of Data, Avo