Jul
16

Managing the cost of data management

Managing the cost of data management

July 16
By

Every businesses faces challenges when it comes to deploying a data backup and recovery solution that is both efficient and cost effective. This forces some companies to implement a system that is less than ideal, or to spend more than necessary in order to find a more appropriate disaster recovery solution. However, there are some key steps that any business can take to overcome these issues and be more satisfied with its system backup software.

In order to address the solutions, a business has to recognize the challenges as well though. Internal structure problems, meeting data retention compliance, and wasting resources on little-to-no-value data can gum up backup and recovery services to the point where they are ineffective and even a waste of money. However, according to Cloud Times, there are easy ways to overcome each of these issues.

Structure

When a company runs into business continuity issues stemming from complicated structure problems, it is actually reflective of organizational issues, according to the news source. Improving data organization, especially when migrating from physical to digital records, can make the data structure more efficient, and therefore easier to back up and recover.

Data retention

One major problem that companies encounter during backup and recovery is big data. In order to overcome this, many implement data retention schedules that delete older data after a set amount of storage time. However, this can be inefficient and even potentially break compliance with data retention regulations. As such, a business should implement deduplication or other, more effective methods to only back up essential or new data. This will reduce the storage space needed for online backups without putting the company at legal risk.

Wasting resources

Finally, many businesses increase the cost of their data backup and recovery software solutions by not prioritizing data. Wasting resources on low-value data or data that doesn’t affect revenue at all not only increases the cost of storage, but also recovery times, making the process take longer and reducing the speed in which the company can resume operations. When it comes to data recovery, efficiency is key, and implementing a system that prioritizes key revenue-generation data over less important information can make the system faster and potentially even increase revenue with swift resumption of business.