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When systems fail - whether from outages, ransomware, or human error - organizations often scramble to recover data and restore services. Too many of these efforts feel reactive, opaque, and uncertain.
The challenge:
Recovering data under pressure should work, but it often doesn’t. Often because plans are outdated, unclear, or never tested. Teams end up guessing, slowing restoration, and eroding trust with constituents.
The opportunity:
Treating data recovery as a repeatable, well-understood process makes restoration faster and more predictable. It’s not about avoiding failure, it’s about designing systems and practices that bring services back online with confidence.
Why this matters:
For teams serving citizens, clients, or internal users, downtime isn’t an abstract inconvenience, it’s a tangible disruption to critical services. A clear, tested recovery approach reduces risk and keeps your organization resilient when it matters most.
🌐 Read the full article on the Trading Post:
https://redleif.io/data-recovery-shouldnt-be-a-mystery-how-constituent-services-get-back-online/
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