In order to generate meaningful insights from their highest-impact analytic models, organizations must have access to massive amounts of data that can only be gathered by sharing information with other partner organizations. Unfortunately, even though they understand the benefits of broader information exchanges, organizations are reluctant to share their most valuable data with analytics collaborators due to a lack of transparency into, control over, and ownership of their data once it’s been transmitted.
What You’ll Learn:
- Why analytics need a data-centric platform based on cryptographic proof, not trust.
- Where today’s trust models fall short and how Virtru’s Trust Data Platform fills the gap.
- How to enable data owners to maintain full lifecycle control over data and securely share it for approved analysis.