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The concept of IT resilience has moved beyond recovery planning. It now centers on enabling continuous operations, informed decision-making, and measurable business outcomes. For many organizations, the path from traditional IT disaster recovery (ITDR) to a more mature, data-driven approach remains unclear.
In this on-demand session, we examine how to strengthen ITDR programs using data analytics, AI-enabled automation, and actionable operational insights. Drawing from industry best practices and real-world examples, this session highlights how to identify and use the data that reflects your organization’s true resilience posture. It also shows how automation can support more consistent testing, faster analysis, and ongoing improvement.
You’ll come away with practical ways to connect recovery efforts to broader resilience goals, improve how your program is measured, and communicate its value more clearly to stakeholders.
Key takeaways:
- Define and assess IT resilience using metrics that reflect real performance
- Apply data analytics and automation to improve testing, response, and recovery analysis
- Use operational data to demonstrate resilience maturity and program value
- Build a continuous improvement approach through recovery optimization