Why is data governance essential?
In the digital era, data governance has become essential for the following reasons:
- Business value: data reveals new opportunities, optimizes processes, and supports decisions.
- Regulatory compliance: improper data management can lead to legal consequences.
- Security: data is a target for hackers, making its protection a priority.
- Customer trust: proper data management builds loyalty.
- Operational efficiency: effective data management increases productivity.
Data governance is not merely desirable—it is essential. Astrafox provides solutions that address these key needs.
How do you manage data effectively?
We use modern technologies and tools to provide a holistic approach to data governance. With Databricks Unity Catalog and Microsoft Purview, we integrate data from diverse sources, including on-premises, multicloud, and SaaS environments. Our solutions automatically scan, classify, and map data, significantly accelerating and simplifying governance processes. We create unified data maps that provide complete visibility into an organization’s data landscape and identify gaps and opportunities. We provide advanced security capabilities that protect data from unauthorized access and support compliance requirements. We analyze and visualize data to extract insights that support strategic business decisions. As a result, organizations manage data effectively and transform it into a valuable asset that drives innovation and growth.
Databricks Unity Catalog capabilities
Unified governance for data and AI
Enables organizations to manage structured and unstructured data, machine learning models, notebooks, dashboards, and files across any cloud.
Unified visibility into data and AI
Discover and classify data, ML models, notebooks, and files across any cloud. Consolidate, map, and search data from different platforms in one place.
Unified permission model for data and AI
Simplify access management with one interface for defining access policies for data and AI assets.
AI-powered monitoring and observability
Automate monitoring, diagnose errors, and maintain the quality of data and ML models with AI.
Microsoft Purview capabilities
Unified map of data assets
Automate and manage metadata from hybrid sources. Classify data with built-in and custom classifiers.
Easy data discovery
Make data easy to find using familiar business and technical search terms.
Holistic view of sensitive data
Review and manage key health metrics across all hybrid data assets.
Data sharing without duplication
Share data in place without duplicating it and access shared data in near real time.