As organizations accumulate volumes of sensitive data, the risks associated with managing that data continue to grow. Many governance programs struggle to translate those risks into concrete, defensible metrics.
During this session, Chris Hockey, Senior Manager at Triad Executive Advisors, will expand beyond vague assessments and gut instincts to present a practical, repeatable framework for quantifying data risk exposure.
Drawing from real-world case studies, this presentation will demonstrate how organizations can systematically identify hidden data challenges and assign weighted risk scores based on data sensitivity (PHI, PII, SBI), unstructured system usage, and third-party data sharing.
Attendees will learn how applying this quantification framework delivers measurable results and walk away with actionable steps to implement similar approaches in their own organizations.
Key takeaways:
• A weighted scoring methodology for evaluating data risk across business processes
• Techniques for uncovering hidden compliance gaps and insecure data storage practices
• Strategies for translating quantified risk into governance priorities and executive buy-in
Speakers:
Kandace Donovan, Vice President, North American Operations, iCompli, by LegalRM
Chris Hockey, Senior Manager, Triade Executive Advisors
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