Benefits of Data Erasure in Data Lifecycle Management
Businesses are managing more data than ever, which is causing data to rise exponentially. Businesses have been forced to gather a massive amount of big data as a result of the development of advanced technologies such as AI, IoT, machine learning, and advanced analytics as well as the need to provide customers with personalized experiences. In 2020, there will be 2.5 quintillion bytes of data generated per day, according to estimates. As well, according to the IDC Data Age 2025 estimate, the world’s data sphere is predicted to exceed 175 ZB in 2025. Hence, data security and protection would be more important.
Business accountability for the data they process and control is now required by emerging data protection legislation i.e. the GDPR, CCPA, SOX, HIPAA, GLBA, etc. Data protection is now necessary at every point of its lifetime as a result of this. Hence, now more than ever, there is an urgent need for efficient data lifecycle management.
Data Lifecycle Management: What is it?
It is defined as the management of data as it moves through multiple stages of its lifecycle, beginning with its production and ending with its final disposal. Data production, storage, use, retention, and deletion are all stages of the data lifecycle. Every level of data lifecycle management includes a unique set of protocols that specify its compliance, privacy, and protection.
#Stage 1- Data Creation
Data creation is the first phase of data lifecycle management. It is produced within a company using a variety of channels and methods, and it builds up over time. Additionally, data can be gathered from a variety of devices used in the organization’s operations, including those in the departments of customer service, sales, accounts, purchases, and partners, among others. Moreover, it may come from a third party.
#Stage 2- Data Storage
From the perspectives of data privacy, security, and compliance, the next stage of data lifecycle management is “Storage,” which is essential for any firm. While storing data internally or on a cloud, adequate precautions must be taken to prevent data loss or leaking. Data segmentation, classification, migration, and secure information handling during its lifecycle are required for the data remediation process, which is a component of the “Storage Stage” in data lifecycle management.
#Stage 3- Data Usage
It’s the most important phase of data lifecycle management as the data is processed and evaluated to support a variety of crucial business tasks. Data at this stage helps commercial decision-making. In order to have traceable records for satisfying compliance, it is advised to use proper automated tools to handle data consumption while processing mass customer, employee, shareholder data, and investor.
#Stage 4- Archival
Data archiving makes ensuring that information is stored and accessible when needed. Without any maintenance, the archived data is kept apart from the environment that is now in use. Even while it may not appear relevant in the current situation, an archive becomes essential when even routine data is required for important activities. Any breach in the safety of the data kept in the archives could be fatal if it results in data theft or misuse.
#Stage 5- Destruction
Storage needs to be improved as a result of data accumulation and the increased demand for better technology. After an upgrade, outdated servers must be taken apart and securely wiped using the appropriate data sanitization and destruction software to remove every trace of data. Additionally, companies also get rid of data that is no longer needed or is redundant. An organization should define a data destruction policy to properly manage the disposal of its IT assets.
The Important Role of Data Erasure in Data Lifecycle Management
Secure and safe data erasure is a crucial component of the data lifecycle management process since it protects an organization from data breaches. Any organization’s data controllers and auditors want efficient programs for managing data erasure at all times with organized audit trails. To maintain security compliance and to reduce the risk of data leakage, automation of periodic file deletion of unnecessary and redundant files is crucial.
Use Data Erasure Software to Effortlessly Automate Data Erasure Tasks
You can choose CubexSoft Data Erasure Tool when it comes to data destruction of unnecessary files, directories, and data in large volumes because it offers organizations a variety of choices for automating and scheduling periodic erasure tasks. The Data Eraser Software helps in assuring compliance with international data protection rules and protects against privacy invasion. Without having to manually delete the file or folder, organizational policies can be set up to erase it at a specific time and date. For all of your compliance requirements, the tool generates proof of erasure in the form of auditable reports.
CubexSoft File Eraser Tool is the best option in the event that drives and other devices are discarded at the end of their useful lives. The program helps in completely deleting data from devices, guaranteeing that no data traces remain. Moreover, it offers certification of erasure as proof of destruction, helping enterprises in following international rules and regulations.
Final Verdict
Data erasure is a crucial part of data lifecycle management that helps in addressing difficulties related to data privacy, security, and international regulatory compliance while reducing the possibility of data breaches. You may be confident that you can automate your data erasure procedures on any type of storage device used throughout the organization with the help of an expert and automated data removal software. In order to comply with international data protection laws, a strong data destruction policy supported by suitable steps to destroy IT assets at end of life would be beneficial.
