BigID Guided Tour – Data Lifecycle Management
Imagine you work for a Global Insurance Provider and one of your core responsibilities is data compliance. A new GDPR regulation is announced stating that all insurance policies …
Imagine you work for a Global Insurance Provider and one of your core responsibilities is data compliance. A new GDPR regulation is announced stating that all insurance policies …
…repositories like office365, slack, email, files, pdfs, and more. For organizations experimenting with LLMs, this introduces new risks. Unlike traditional AI frameworks that depend on structured data as input, it’s…
What is Data Governance? Data Governance is the strategy and process of data management in an organization that determines how data will be managed and used throughout the …
The modern data stack approach has become increasingly popular in recent years, as businesses have recognized the importance of data-driven decision-making. By leveraging the power of data, organizations …
According to Gartner, the future of active metadata is promising, as organizations increasingly rely on data to drive business outcomes. They predict that by 2025, 60% of organizations …
What is cloud data governance? Cloud data governance involves managing the accessibility, functionality, accuracy, and protection of data stored in the cloud. This includes establishing policies, procedures, and …
…helps organizations understand how their customers perceive them; whether those perceptions align with what they’d like them too; if not then why not? How to Get Started with BigID Improve…
While the data steward’s role can vary widely across different companies and industries, the core responsibilities remain fairly consistent. Read on for guidelines and best practices for how …
The world of data governance continues to evolve – with new challenges, approaches, and technology that changes the way we look at and manage data. Here are 8 …
Organizations implementing data security, privacy and governance programs often face their first challenge in knowing what data they have. Data teams need to classify data, identify what data …