Understand the risks of data hoarding and why organizations must implement proper data retention and erasure policies.
The practice of storing data in huge volumes for an indefinite period of time is known as data hoarding. Businesses often collect voluminous data to extract customer insight or business value from it in the future. However, the data may not be optimally used due to a lack of adequate resources, tools, skills, or a clear strategy.
This results in an excessive accumulation of redundant and unnecessary data, which can create data security challenges. If this data is compromised, it can have a detrimental impact on the business, turning data from an asset into a liability.
Unstructured, dark data in large volumes that is left unattended becomes more vulnerable to data breach risks. The more data an organization hoards, the more targets it provides for cybercriminals. According to IBM, the average total cost of a data breach on a global scale is US $4.45 million.
Employees who accumulate excessive amounts of data without purpose endanger sensitive information. Unauthorized access and usage of this information compromises confidentiality, integrity, and availability, increasing the chances of data getting lost or breached.
Over-accumulation of data at different locations (on a device or in the cloud) heightens the possibility of data leakage. According to the Veeam 2023 Ransomware Trends report, "Data stored in backups is the most common target for ransomware attackers."
Storing data beyond the retention period it was collected for, without a clear purpose, or after the purpose has been fulfilled, is a violation of data privacy regulations like CCPA, EU-GDPR, and UK-GDPR. Supervisory authorities have the power to send notices, suspend business activities, and impose penalties.
As the volume of collected data increases, so does the cost of storage, irrespective of the lack of direct contribution to organizational objectives. This includes costs for physical space, energy consumption, cooling, and server maintenance.
Implement clear policies defining how long data should be retained
Use automated data erasure tools to delete data after retention period
Conduct regular data audits to identify and remove redundant data
Collect only the data necessary for specific business purposes
Data hoarding poses significant risks including increased data breach vulnerability, compliance violations, and higher operational costs. Organizations must implement proper data retention policies and use certified data erasure solutions to eliminate redundant data and protect sensitive information.
Implement automated data erasure policies to eliminate redundant data and reduce security risks.
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