Quest

Data Discovery and Cataloging: 

• Automated Data Discovery: Automatically scans and identifies data across different (structured and unstructured) sources, creating a unified catalog of all data assets. 

• Business Glossary: Allows the creation of a business glossary to define key terms and ensure consistent language across the organization, bridging the gap between business users and technical teams. 

• Smart Search and Classification: Facilitates easy discovery of data with search features and automated classification, helping users quickly locate relevant datasets. 

• Customizable Metadata: Supports customizable metadata definitions, enabling organizations to tailor the catalog to their specific business needs and data standards. 

Data Governance

• Data Lineage: Tracks the origin and flow of data across systems, providing a clear view of how data is transformed and consumed throughout its lifecycle. 

• Impact Analysis: Helps users assess the impact of changes in data on downstream systems, applications, and reports, ensuring that modifications do not have unintended consequences. 

• Policy Management: Allows organizations to define and enforce data governance policies, ensuring compliance with internal standards and industry/government regulations. 

• Role-Based Access Control: Ensures data is only accessed by authorized users by assigning roles and permissions based on user responsibilities and data sensitivity. 

• Data Stewardship: Assigns data stewards to oversee and maintain the accuracy, accessibility, and security of data, ensuring it is managed responsibly throughout its lifecycle. 

Advanced Analytics and Reporting

• Data Profiling: Continuously monitors data quality to identify and rectify inconsistencies, anomalies, and errors that could impact business decisions. 

• Comprehensive Reporting and Dashboarding: Provides detailed reports and dashboards on data usage, compliance, and governance metrics, giving stakeholders insight into the organization’s data landscape. 

• Data Quality Rules: Enables the creation of data quality rules to automatically validate data against predefined criteria, ensuring data accuracy and reliability. 

Integration and Collaboration

• Broad Data Source Support: Integrates with a wide range of data sources, including databases, cloud platforms, and data lakes, ensuring seamless data management across environments. 

• API Access: Provides APIs for integration with other enterprise systems, enabling seamless data governance across the organization. 

• Collaboration: Promotes knowledge sharing across teams, making it easier for users to access institutional knowledge about data resources and processes. 

• Task Automation: Automates data governance workflows, such as approval processes and notifications, reducing manual intervention and improving operational efficiency.