Enrich Your Data Catalog With Business-Focused Terms
Having an up-to-date data catalog with the right business context is key for organizations trying to enable users to leverage and understand their data to make better and …
Category: AI Governance
4 Steps to Automate and Enrich Your Data Catalog
Metadata catalogs enable organizations to find the data they need to perform analysis, data science, and governance programs to provide insight to know how data is being used. …
BigID + Collibra: 5 Ways Automation Enhances Data Governance
Enterprise companies have too much data to manage using manual processes. Effective data governance requires automation. The volume, variety, and velocity of enterprise data makes it impossible to …
ML-Driven Data Governance for Business Intelligence (BI)
In a data-driven culture, it’s difficult to continually generate insights and analysis through business intelligence tools as the data environment becomes more and more complex. Within the data …
Metadata Management 101: Know Your Data
Metadata Management helps organizations understand, manage, and get value from their vast and varied data environments. Organizations collect tremendous amounts of data, stored in various sources and formats. …
How to Apply AI & ML For Strategic Data Governance Programs
Data leaders around different industries are tackling a common issue: how can they effectively apply artificial intelligence and machine learning when it comes to their data governance programs? …
Modernizing Data Governance: Leveraging AI and Minimizing Risk
Chief Data Officers need to modernize their data governance programs and processes, and data executives want to leverage artificial intelligence and machine learning for efficiency and deeper insight, …
How to Manage Customer Data in the Retail Industry
Many consumer-driven companies are focused on compliance with local privacy regulations — potentially at the expense of improving their overall data management program. Ultimately, it’s the customer data …
How to Build an Accurate Data Inventory
Organizations sit on stacks of personal and sensitive data — different types, structured and unstructured, scattered in various locations across the organization and in the cloud, ranging from …
Integrated Consent and Preference Management
Capture and govern existing consent and preference data to empower customers and privacy analysts.