Practical Steps for Building a De-Risked Compliant Data Inventory
Today, every company’s data is a valuable asset, which has led to a tendency to keep data “just in case we need it later.” Companies are now collecting, storing, and managing vast amounts of data without understanding where it all lives. This major blind spot creates significant privacy and security risks.
With global privacy laws continuing to evolve, and remote work here to stay, every organization needs to consider privacy implications, regulatory fines, and third-party risks throughout the data lifecycle - from collection to disposal. None of this can be accomplished without a data inventory – after all, you can’t protect and secure what you don’t know you have.
This lively panel discussion will share actionable tips and best practices from practitioners who have helped build data inventories for some of the largest organizations in the world. We’ll discuss legal implications to consider, how a data inventory supports compliance, and why a robust data inventory is the backbone of any privacy program.
Webinar Summary: On-Demand Session
With global privacy laws continuing to evolve, and remote work here to stay, every organization needs to consider privacy implications, regulatory fines, and third-party risks throughout the data lifecycle - from collection to disposal. None of this can be accomplished without a data inventory – after all, you can’t protect and secure what you don’t know you have.
This lively panel discussion will share actionable tips and best practices from practitioners who have helped build data inventories for some of the largest organizations in the world. We’ll discuss legal implications to consider, how a data inventory supports compliance, and why a robust data inventory is the backbone of any privacy program.
What you will learn
- How to discover all your data – within and outside your organization
- How to build a data inventory to meet GDPR Article 30 record-keeping compliance requirements
- Legal implications to consider when developing a data inventory
- Best practices and lessons learned from real-world case studies