Disaster Recovery Planning: Almost Half Of Businesses Fail After A Disaster. Will Yours?

When we talk to business owners about disasters, they usually imagine Hurricane Sandy in October of 2012. Clearly, that qualifies as a disaster. However, there are plenty of disasters that don’t involve Mother Nature. Disaster can be as simple as theft or disaster can be a corrupted database without a backup.

Most data disasters can be avoided, but businesses and business owners are running at full speed keeping the business going and dealing with the day-to-day emergencies. So, making sure everything is backed up and ready in case of emergency may not always be their first thought.

Fortunately, most of our clients will not suffer from a data disaster. That’s because of one of two things:

They have a well thought-out disaster recovery plan in place.

They have an automated reliable data backup and recovery system in place.

We show them the process to create the recovery plan, and when they can see the finish line, it’s not as daunting as they thought. Mind you, it does still require work and thought, but with our process, we can walk through it and have it complete in a few hours.

This is the same disaster recovery planning system that we used for all of our clients who came back from Hurricane Sandy. The system is not theoretical – it’s been proven time and time again. In fact, I have a highly successful book on the subject!

There are several steps that you can start taking right now that will dramatically increase your likelihood to recover from disaster. They don’t require you to use any of our systems. Of course, we think that our systems are better than anyone else’s and that they make everything just work in a much simpler way. That said, I’ve created a report that you can use right now to start reducing your risk of data loss. To Download Your Free “10 Disaster Planning Essentials” Report, go to https://www.brainlink.com/10essential/ and complete the form.


Call us at 347-460-2238 to schedule your Disaster Recovery Analysis