All the things at a certain place have their own importance. Same holds for data of a company or a setup. All the data is not created for the same purpose and so it has its own value in terms of its usage and future needs. Take example of different persons with different qualifications working at a same place. You will place the appropriate person at appropriate post and give it the due importance accordingly. If you fail to do that, then you are bound to waste resources and diminish the chances of success.
Why Is It Necessary?
In simple terms, it is not wise to treat all the data at the same level because some of it might not even be needed. To consider every data on same level means that you are wasting unnecessary space in its storage. This type of storage is easy but it isn’t at all cost effective or wise.
Simple Solution To The Problem
It is decided that it is not advisable to give same importance to all the data. So what should be done to make it cost effective and efficient? The answer is that data protection should be done in steps or different groups according to their importance for the company.
For example the top priority data which is critical to running of the business and should be available at all times should be in category-I. This kind of data can be sorted out and stored on a device that is easily accessible, can be swiftly restored, and is most frequently backed up.
Category-II data can be considered as non-vital data and it can be further sorted out into files that need to be stored and those that can be deleted. This can save a lot of space and prevent unnecessary backup. If some of the data becomes less important for the company then it can be moved to lower level on a less expensive storage space hence leaving the expensive medium for data of more importance.
What should the companies plan for while looking for data protection solution? In the light of previous discussion, choose the provider who can help make the process cost effective and follow a set of protocols to prioritize data according to their need. It can be automated sorting of data into lower or higher category but still complying with the requirement of the company. This ensures easy and transparent access while following data retention guidelines and reducing cost. Plan it earlier or be ready to suffer later.