Your volume of data has doubled or even tripled over the last few years, but have you changed how you manage and protect that data? Most organizations haven’t. More than 90% of organizations can’t meet their business recovery time objectives, and most haven’t tested the systems they have in place.
Because storage solutions have fallen in price at the same time as their capacity has increased, many companies are now running into a new issue: how to back up all that data and recover it in a timely manner.
What does this mean to you?
Recently, a virus infected a customer’s network on the day it broke out, before the anti-virus software had a chance to update the environment. The virus infected the server, which then passed it on to the other systems on the network. Three terabytes of data were corrupted and had to be recovered from tape – a process that took nearly two full days. During the process, the customer couldn’t access critical files. Think about it: what would it mean to you if you couldn’t access your data for two days?
I’m glad I got Compugen involved right from the start to help us build a solid technology baseline
As you take advantage of storage technologies and opportunities for unlimited capacity, you also need a strategy that considers how the volume of data will impact your recovery requirements. We work with you to develop a tiered data storage and management plan that prioritizes your information and backs it up in the shortest possible time. The most important data is the first to be backed up and the first to be recovered – this is the data you need for your customers, for compliance requirements, and to keep your business running. Backup systems use a combination of vaulting, tiering, data de-duplication and archiving to maximize storage space and network speed.
Backups are a means to an end, and the end goal is to recover key information in the event of data loss. That’s why the most important element to implementing any new backup and recovery plan is to do a full assessment of your recovery time objectives and recovery point objectives. This means identifying what data you’ll need to recover, and how far back in time you need to go to resume normal operations.