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Organizations are often forced to choose how to prioritize what is essential in terms of data management. Just as often, they make rash decisions to comply with industry and regulatory standards. Some prioritize cybersecurity threats and data leaks over profitability. Many are unaware that data management can protect against cyberattacks while being cost effective. The growth of big data in the digital world is extraordinary. Developing an effective data management strategy is key to securing your organization’s data ecosystem.

Data management can seem daunting due to the sheer amount of data generated daily. It’s not an easy task, but smart management technologies and data management best practices can help your organization avoid the consequences of poor data management leading to high costs and vulnerability to cyberattacks.

Understanding ROT Data

There are three types of data: redundant, obsolete and trivial data – otherwise known as ROT data. The more ROT data a company has, the greater the risk of falling victim to a cyberattack. Businesses can mitigate risk and reduce costs by understanding their ROT data.

Redundancies often occur due to our conditioning to save multiple copies of the same data set because we were told it was best to keep everything. Outdated data is precisely that: data that is outdated and no longer relevant. Trivial data is data that is no longer useful and takes up space on servers while slowing down processing. Organizations can solve this problem by knowing what data should be retained, deleted or sorted.

Another challenge that comes with ROT data is data storage – businesses operate with the conditioning of having to retain data and end up storing it in the cloud. Although the cloud may seem like a cost-effective solution, since the cost is very low per gigabyte, ROT data quickly increases monthly storage costs. In response to this, companies are buying disk after disk to support this growth, but within five years they are running out of space and have accumulated an abundance of disks.

The path to securing your data

First, organizations should identify what data should be retained, whether it is essential to conduct their business or to meet corporate compliance regimes – for example, financial data for a SOX audit should be retained for seven years. In contrast, GDPR statutes in Europe state that user data should be deleted as soon as it is no longer needed.

You can save your organization large sums of money with data archiving methods that manage unstructured data in a sophisticated and cost-effective way. The door also opens for data to be used as a critical business asset that can easily be extracted and used for beneficial purposes. For some companies, master files or archives of certain sensitive data must be kept as long as they cannot be copied or accessed by unauthorized actions.

Intense monitoring and authorization of security events is also good practice. This helps identify access controls that are extremely helpful in securing corporate data and gives data stakeholders an idea of ​​incoming threats, latent or introduced data vulnerabilities, and potential privacy or security issues. compliance.

Organizations can quickly identify and resolve issues by setting automated data search policies to follow current compliance regime protocols. A practical example of this is sharing medical data without signed forms or not deleting account information when it is no longer needed.

Organizations shouldn’t have to turn a blind eye to increasing cybersecurity threats and data leaks because they don’t know about cost-effective data management solutions. Organizations need to be aware of data management strategies that help identify data and organize what needs to be retained, deleted, or sorted. In doing so, we are changing the digital world by securing the data ecosystem. Not only does this help organizations create value, but it is a critical factor in reducing costs and preventing cyberattacks.

Adrian Knapp is CEO and Founder of Aparavi.


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