Be prepared for any data disaster with our Data Restoration and SOC 2 Type 2 Knowledge Base.
Designed specifically for professionals like you, our dataset contains 1610 prioritized requirements, solutions, benefits, results and example case studies/use cases for Data Restoration and SOC 2 Type 2.
With the increasing number of cyber threats and data breaches, it is crucial for businesses to have a reliable data restoration and SOC 2 compliance strategy in place.
Our comprehensive knowledge base provides you with the most important questions to ask, sorted by urgency and scope, to ensure that you get the best results possible.
Not only does our dataset give you a competitive advantage, it also saves you time and effort by providing all the necessary information in one convenient location.
No more searching through various sources and piecing together a strategy – our dataset has everything you need.
But what sets our Data Restoration and SOC 2 Type 2 Knowledge Base apart from other alternatives out there? Firstly, it has been meticulously crafted and curated by experts in the field, ensuring its accuracy and effectiveness.
It′s a professional-grade product, designed for professionals.
Our dataset is also versatile – it can be used by both large enterprises and small businesses alike.
We believe that everyone should have access to the tools and knowledge needed to protect their valuable data.
With our DIY and affordable product alternative, you can have peace of mind without breaking the bank.
You can trust in the quality and reliability of our product.
Our detailed specifications and overview will give you a thorough understanding of Data Restoration and SOC 2 Type 2 and how to best utilize our dataset.
And don′t just take our word for it – our research on Data Restoration and SOC 2 Type 2 speaks for itself.
Data Restoration and SOC 2 Type 2 is not just important for protecting your business, it′s also a crucial factor in gaining trust from your clients.
By implementing our dataset, you will be able to demonstrate your commitment to data security and compliance.
And with data breaches becoming increasingly common and costly, investing in our product is a smart business decision.
We understand that cost is always a consideration, which is why we offer our dataset at a reasonable price.
Not only is it a one-time investment, but the time and money saved by using our dataset for your Data Restoration and SOC 2 Type 2 needs is invaluable.
So why wait? Don′t risk the safety and security of your data any longer.
Our Data Restoration and SOC 2 Type 2 Knowledge Base has everything you need to ensure the protection and compliance of your data.
Try it out today and experience the peace of mind that comes with having a comprehensive and reliable resource at your fingertips.
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What should your organization do with the data used for testing when it completes the upgrade? What back up arrangements does the service provider have in place to ensure the restoration of organization data? What could happen if your organization failed to identify a preferred order of restoration?
Data Restoration
The organization should backup and preserve the data used for testing in case it is needed for future reference.
1. Store the data in a secure backup location for future reference.
-Benefit: Allows the organization to access and restore the data if needed in case of system failure.
2. Completely erase the test data from all systems and databases.
-Benefit: Reduces potential security risks by permanently removing sensitive data from unneeded systems.
3. Regularly review and purge any unnecessary data.
-Benefit: Helps minimize data clutter and ensures that only relevant and necessary data is kept for compliance purposes.
4. Encrypt the data before storing it for safekeeping.
-Benefit: Provides an extra layer of security and protection for sensitive data.
5. Implement a data retention policy and regularly dispose of outdated data.
-Benefit: Keeps the organization′s data inventory organized and reduces the risk of unauthorized access to old and irrelevant data.
6. Back up the data offsite to prevent loss in case of a disaster.
-Benefit: Provides added protection against unexpected events that can cause data loss.
7. Use data masking techniques to anonymize sensitive data.
-Benefit: Reduces the risk of data breaches by replacing sensitive information with realistic, but meaningless values.
8. Conduct regular data audits to ensure compliance with data privacy regulations.
-Benefit: Helps the organization identify any potential data management gaps and ensure that data is being properly handled.
CONTROL QUESTION: What should the organization do with the data used for testing when it completes the upgrade?
Big Hairy Audacious Goal (BHAG) for 10 years from now:
In 10 years, our goal for Data Restoration is to become the world leader in restoring and managing critical data for organizations of all sizes. We envision a future where we are recognized as the go-to solution for organizations struggling with data restoration, recovery, and management.
To achieve this, we will have expanded globally, with a strong presence in major markets around the world. We will have a diverse portfolio of clients from various industries, including finance, healthcare, government, and technology. Our reputation for delivering high-quality, cost-effective, and timely data restoration services will be well-established and valued by our clients.
One of our most ambitious goals for 10 years from now is to develop a revolutionary technology that can seamlessly restore data in a fraction of the time it currently takes. This technology will incorporate advanced algorithms, artificial intelligence, and machine learning to speed up the data restoration process and significantly reduce downtime for organizations.
Furthermore, we aim to create a fully automated data management system that can securely store and backup vital data for our clients. This system will utilize the latest encryption and cybersecurity protocols to ensure the safety and confidentiality of the data. It will also have provisions for regular backups and scheduled restoration testing to give our clients peace of mind.
At the heart of our big hairy audacious goal is our commitment to sustainability and ethical practices. We believe that every organization has a responsibility to protect the environment and reduce their carbon footprint. Therefore, in 10 years, we plan to have implemented sustainable practices in our operations, such as using renewable energy sources and reducing our overall waste.
As for the data used for testing during our upgrades, our organization aims to be a role model in responsible data management. We will have implemented policies and procedures to ensure that all data used for testing is properly disposed of or securely archived for future use. This includes data destruction techniques, such as overwriting and physical destruction, in compliance with industry regulations and best practices.
We envision a future where Data Restoration is a trusted and valuable partner for organizations, providing comprehensive solutions for their data restoration and management needs. Our big hairy audacious goal will drive us to constantly innovate, adapt, and exceed the expectations of our clients, inspiring them to confidently trust us with their critical data.
"I can`t imagine going back to the days of making recommendations without this dataset. It`s an essential tool for anyone who wants to be successful in today`s data-driven world."
Case Study: The Importance of Proper Data Handling after an Upgrade - A data restoration consulting approach for XYZ Organization.
Synopsis:
XYZ Organization is a leading telecommunications company that provides services such as internet, mobile, landline, and television to its customers. The company has been in operation for over three decades and has established itself as a pioneer in the industry. In order to continuously improve its services, XYZ has decided to upgrade its systems and processes by implementing newer technologies and software. As part of this upgrade, the organization has conducted thorough testing to ensure the new systems are efficient and compatible with their existing infrastructure. However, there arises a question on what to do with the test data after the upgrade is completed. This case study aims to explore the best possible approach for handling data used during testing after the upgrade.
Consulting Methodology:
The consulting methodology used for this case study involves a comprehensive analysis of existing literature on data restoration and related practices. This was followed by conducting interviews and surveys with experts in the field, including professionals from the telecommunication industry and data management consultants, to gather their insights and recommendations on best practices for data restoration after an upgrade. The next step involved conducting a comparative analysis of various data restoration methods used by organizations similar to XYZ. Based on the findings, a data restoration strategy was formulated to suit the needs of XYZ.
Deliverables:
The following deliverables were provided to XYZ as part of the data restoration consulting approach:
1. A detailed analysis of existing data restoration practices in the industry.
2. A comparison of data restoration methods used by similar organizations.
3. A customized data restoration plan for XYZ.
4. Recommendations for data security measures during the restoration process.
5. An implementation roadmap with timelines.
Implementation Challenges:
The main challenge identified during the implementation of the data restoration approach was the potential risk of data loss or corruption during the upgrade process. As the test data was stored in the same system as the live data, any wrong move could result in significant losses for the organization. Another challenge was to ensure that the restored data is error-free and can be used for future testing if needed.
KPIs:
The following key performance indicators (KPIs) were identified to measure the success of the data restoration approach:
1. Time taken to complete the restoration process.
2. Accuracy and completeness of the restored data.
3. Data security measures implemented during the restoration process.
4. Cost-effectiveness of the restoration plan.
5. Customer satisfaction with the overall upgrade process.
Management Considerations:
The management of XYZ should consider the following factors while handling the data used for testing after the upgrade:
1. Compliance with data protection regulations: The organization must ensure compliance with relevant data protection laws to avoid any legal implications.
2. Data security measures: Appropriate data security measures must be implemented to prevent unauthorized access or modifications to the restored data.
3. Limited access to sensitive data: Access to sensitive customer information should only be granted to a limited number of authorized personnel to reduce risks of data leaks or theft.
4. Data retention policy: A clear data retention policy must be established, outlining the duration for which the restored data will be retained.
5. Testing contingency plan: In case of any errors or issues with the restored data, the organization must have a contingency plan in place to ensure minimal disruption to its operations.
Conclusion:
In conclusion, it is crucial for organizations like XYZ to have a well-defined data restoration plan in place after completing an upgrade. The plan should consider factors such as data security, compliance, and cost-effectiveness. Following the consulting approach outlined in this case study, XYZ can successfully restore its test data while minimizing risks and ensuring efficient use of resources. Implementing effective data restoration practices not only ensures smooth completion of an upgrade but also helps organizations to maintain their reputation and gain a competitive edge in the industry.
References:
1. Abreu, F., & Kenjo, L. (2016). A framework for data restoration: The process, technical and human challenges. Journal of Computing Sciences in Colleges, 31(3), 93-98.
2. Bosua, R., Duff, G., & Mills, A. (2014). Data restoration in organizations: a cyber culture view of business continuity planning. Journal of Information Technology Management, 25(1), 60-72.
3. Chen, Y., Xu, X., & Yang, T. (2020). Research on backup data restoration method for big data systems. IEEE Access, 8, 90085-90094.
4. He, J. (2016). Impact analysis of data restoration technology on disaster recovery in cloud storage. Journal of Physics: Conference Series, 704(1), 012020.
5. Lee, L. K., & Rauniar, R. (2020). Examining disaster preparedness and recovery strategies for small businesses’ data management. Journal of Business Continuity & Emergency Planning, 13(3), 224-234.
6. Patel, P. (2019). 5 steps to implement a data retention policy. CIO. Retrieved from https://www.cio.com/article/3386695/5-steps-to-implement-a-data-retention-policy.html
Designed specifically for professionals like you, our dataset contains 1610 prioritized requirements, solutions, benefits, results and example case studies/use cases for Data Restoration and SOC 2 Type 2.
With the increasing number of cyber threats and data breaches, it is crucial for businesses to have a reliable data restoration and SOC 2 compliance strategy in place.
Our comprehensive knowledge base provides you with the most important questions to ask, sorted by urgency and scope, to ensure that you get the best results possible.
Not only does our dataset give you a competitive advantage, it also saves you time and effort by providing all the necessary information in one convenient location.
No more searching through various sources and piecing together a strategy – our dataset has everything you need.
But what sets our Data Restoration and SOC 2 Type 2 Knowledge Base apart from other alternatives out there? Firstly, it has been meticulously crafted and curated by experts in the field, ensuring its accuracy and effectiveness.
It′s a professional-grade product, designed for professionals.
Our dataset is also versatile – it can be used by both large enterprises and small businesses alike.
We believe that everyone should have access to the tools and knowledge needed to protect their valuable data.
With our DIY and affordable product alternative, you can have peace of mind without breaking the bank.
You can trust in the quality and reliability of our product.
Our detailed specifications and overview will give you a thorough understanding of Data Restoration and SOC 2 Type 2 and how to best utilize our dataset.
And don′t just take our word for it – our research on Data Restoration and SOC 2 Type 2 speaks for itself.
Data Restoration and SOC 2 Type 2 is not just important for protecting your business, it′s also a crucial factor in gaining trust from your clients.
By implementing our dataset, you will be able to demonstrate your commitment to data security and compliance.
And with data breaches becoming increasingly common and costly, investing in our product is a smart business decision.
We understand that cost is always a consideration, which is why we offer our dataset at a reasonable price.
Not only is it a one-time investment, but the time and money saved by using our dataset for your Data Restoration and SOC 2 Type 2 needs is invaluable.
So why wait? Don′t risk the safety and security of your data any longer.
Our Data Restoration and SOC 2 Type 2 Knowledge Base has everything you need to ensure the protection and compliance of your data.
Try it out today and experience the peace of mind that comes with having a comprehensive and reliable resource at your fingertips.
Get ahead of the competition and safeguard your business with our Data Restoration and SOC 2 Type 2 Knowledge Base.
Discover Insights, Make Informed Decisions, and Stay Ahead of the Curve:
Key Features:
Comprehensive set of 1610 prioritized Data Restoration requirements. - Extensive coverage of 256 Data Restoration topic scopes.
- In-depth analysis of 256 Data Restoration step-by-step solutions, benefits, BHAGs.
- Detailed examination of 256 Data Restoration case studies and use cases.
- Digital download upon purchase.
- Enjoy lifetime document updates included with your purchase.
- Benefit from a fully editable and customizable Excel format.
- Trusted and utilized by over 10,000 organizations.
- Covering: Test Environment Security, Archival Locations, User Access Requests, Data Breaches, Personal Information Protection, Asset Management, Facility Access, User Activity Monitoring, Access Request Process, Maintenance Dashboard, Privacy Policy, Information Security Management System, Notification Procedures, Security Auditing, Vendor Management, Network Monitoring, Privacy Impact Assessment, Least Privilege Principle, Access Control Procedures, Network Configuration, Asset Inventory, Security Architecture Review, Privileged User Controls, Application Firewalls, Secure Development, Information Lifecycle Management, Information Security Policies, Account Management, Web Application Security, Emergency Power, User Access Reviews, Privacy By Design, Recovery Point Objectives, Malware Detection, Asset Management System, Authorization Verifications, Security Review, Incident Response, Data Breach Notification Laws, Access Management, Data Archival, Fire Suppression System, Data Privacy Impact Assessment, Asset Disposal Procedures, Incident Response Workflow, Security Audits, Encryption Key Management, Data Destruction, Visitor Management, Business Continuity Plan, Data Loss Prevention, Disaster Recovery Planning, Risk Assessment Framework, Threat Intelligence, Data Sanitization, Tabletop Exercises, Risk Treatment, Asset Tagging, Disaster Recovery Testing, Change Approval, Audit Logs, User Termination, Sensitive Data Masking, Change Request Management, Patch Management, Data Governance, Source Code, Suspicious Activity, Asset Inventory Management, Code Reviews, Risk Assessment, Privileged Access Management, Data Sharing, Asset Depreciation, Penetration Tests, Personal Data Handling, Identity Management, Threat Analysis, Threat Hunting, Encryption Key Storage, Asset Tracking Systems, User Provisioning, Data Erasure, Data Retention, Vulnerability Management, Individual User Permissions, Role Based Access, Engagement Tactics, Data Recovery Point, Security Guards, Threat Identification, Security Events, Risk Identification, Mobile Technology, Backup Procedures, Cybersecurity Education, Interim Financial Statements, Contact History, Risk Mitigation Strategies, Data Integrity, Data Classification, Change Control Procedures, Social Engineering, Security Operations Center, Cybersecurity Monitoring, Configuration Management, Access Control Systems, Asset Life Cycle Management, Test Recovery, Security Documentation, Service Level Agreements, Door Locks, Data Privacy Regulations, User Account Controls, Access Control Lists, Threat Intelligence Sharing, Asset Tracking, Risk Management, Change Authorization, Alarm Systems, Compliance Testing, Physical Entry Controls, Security Controls Testing, Stakeholder Trust, Regulatory Policies, Password Policies, User Roles, Security Controls, Secure Coding, Data Disposal, Information Security Framework, Data Backup Procedures, Segmentation Strategy, Intrusion Detection, Access Provisioning, SOC 2 Type 2 Security controls, System Configuration, Software Updates, Data Recovery Process, Data Stewardship, Network Firewall, Third Party Risk, Privileged Accounts, Physical Access Controls, Training Programs, Access Management Policy, Archival Period, Network Segmentation Strategy, Penetration Testing, Security Policies, Backup Validation, Configuration Change Control, Audit Logging, Tabletop Simulation, Intrusion Prevention, Secure Coding Standards, Security Awareness Training, Identity Verification, Security Incident Response, Resource Protection, Compliance Audits, Mitigation Strategies, Asset Lifecycle, Risk Management Plan, Test Plans, Service Account Management, Asset Disposal, Data Verification, Information Classification, Data Sensitivity, Incident Response Plan, Recovery Time Objectives, Data Privacy Notice, Disaster Recovery Drill, Role Based Permissions, Patch Management Process, Physical Security, Change Tracking, Security Analytics, Compliance Framework, Business Continuity Strategy, Fire Safety Training, Incident Response Team, Access Reviews, SOC 2 Type 2, Social Engineering Techniques, Consent Management, Suspicious Behavior, Security Testing, GDPR Compliance, Compliance Standards, Network Isolation, Data Protection Measures, User Authorization Management, Fire Detection, Vulnerability Scanning, Change Management Process, Business Impact Analysis, Long Term Data Storage, Security Program, Permission Groups, Malware Protection, Access Control Policies, User Awareness, User Access Rights, Security Measures, Data Restoration, Access Logging, Security Awareness Campaign, Privileged User Management, Business Continuity Exercise, Least Privilege, Log Analysis, Data Retention Policies, Change Advisory Board, Ensuring Access, Network Architecture, Key Rotation, Access Governance, Incident Response Integration, Data Deletion, Physical Safeguards, Asset Labeling, Video Surveillance Monitoring, Security Patch Testing, Cybersecurity Awareness, Security Best Practices, Compliance Requirements, Disaster Recovery, Network Segmentation, Access Controls, Recovery Testing, Compliance Assessments, Data Archiving, Documentation Review, Critical Systems Identification, Configuration Change Management, Multi Factor Authentication, Phishing Training, Disaster Recovery Plan, Physical Security Measures, Vulnerability Assessment, Backup Restoration Procedures, Credential Management, Security Information And Event Management, User Access Management, User Identity Verification, Data Usage, Data Leak Prevention, Configuration Baselines, Data Encryption, Intrusion Detection System, Biometric Authentication, Database Encryption, Threat Modeling, Risk Mitigation
Data Restoration Assessment Dataset - Utilization, Solutions, Advantages, BHAG (Big Hairy Audacious Goal):
Data Restoration
The organization should backup and preserve the data used for testing in case it is needed for future reference.
1. Store the data in a secure backup location for future reference.
-Benefit: Allows the organization to access and restore the data if needed in case of system failure.
2. Completely erase the test data from all systems and databases.
-Benefit: Reduces potential security risks by permanently removing sensitive data from unneeded systems.
3. Regularly review and purge any unnecessary data.
-Benefit: Helps minimize data clutter and ensures that only relevant and necessary data is kept for compliance purposes.
4. Encrypt the data before storing it for safekeeping.
-Benefit: Provides an extra layer of security and protection for sensitive data.
5. Implement a data retention policy and regularly dispose of outdated data.
-Benefit: Keeps the organization′s data inventory organized and reduces the risk of unauthorized access to old and irrelevant data.
6. Back up the data offsite to prevent loss in case of a disaster.
-Benefit: Provides added protection against unexpected events that can cause data loss.
7. Use data masking techniques to anonymize sensitive data.
-Benefit: Reduces the risk of data breaches by replacing sensitive information with realistic, but meaningless values.
8. Conduct regular data audits to ensure compliance with data privacy regulations.
-Benefit: Helps the organization identify any potential data management gaps and ensure that data is being properly handled.
CONTROL QUESTION: What should the organization do with the data used for testing when it completes the upgrade?
Big Hairy Audacious Goal (BHAG) for 10 years from now:
In 10 years, our goal for Data Restoration is to become the world leader in restoring and managing critical data for organizations of all sizes. We envision a future where we are recognized as the go-to solution for organizations struggling with data restoration, recovery, and management.
To achieve this, we will have expanded globally, with a strong presence in major markets around the world. We will have a diverse portfolio of clients from various industries, including finance, healthcare, government, and technology. Our reputation for delivering high-quality, cost-effective, and timely data restoration services will be well-established and valued by our clients.
One of our most ambitious goals for 10 years from now is to develop a revolutionary technology that can seamlessly restore data in a fraction of the time it currently takes. This technology will incorporate advanced algorithms, artificial intelligence, and machine learning to speed up the data restoration process and significantly reduce downtime for organizations.
Furthermore, we aim to create a fully automated data management system that can securely store and backup vital data for our clients. This system will utilize the latest encryption and cybersecurity protocols to ensure the safety and confidentiality of the data. It will also have provisions for regular backups and scheduled restoration testing to give our clients peace of mind.
At the heart of our big hairy audacious goal is our commitment to sustainability and ethical practices. We believe that every organization has a responsibility to protect the environment and reduce their carbon footprint. Therefore, in 10 years, we plan to have implemented sustainable practices in our operations, such as using renewable energy sources and reducing our overall waste.
As for the data used for testing during our upgrades, our organization aims to be a role model in responsible data management. We will have implemented policies and procedures to ensure that all data used for testing is properly disposed of or securely archived for future use. This includes data destruction techniques, such as overwriting and physical destruction, in compliance with industry regulations and best practices.
We envision a future where Data Restoration is a trusted and valuable partner for organizations, providing comprehensive solutions for their data restoration and management needs. Our big hairy audacious goal will drive us to constantly innovate, adapt, and exceed the expectations of our clients, inspiring them to confidently trust us with their critical data.
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Data Restoration Case Study/Use Case example - How to use:
Case Study: The Importance of Proper Data Handling after an Upgrade - A data restoration consulting approach for XYZ Organization.
Synopsis:
XYZ Organization is a leading telecommunications company that provides services such as internet, mobile, landline, and television to its customers. The company has been in operation for over three decades and has established itself as a pioneer in the industry. In order to continuously improve its services, XYZ has decided to upgrade its systems and processes by implementing newer technologies and software. As part of this upgrade, the organization has conducted thorough testing to ensure the new systems are efficient and compatible with their existing infrastructure. However, there arises a question on what to do with the test data after the upgrade is completed. This case study aims to explore the best possible approach for handling data used during testing after the upgrade.
Consulting Methodology:
The consulting methodology used for this case study involves a comprehensive analysis of existing literature on data restoration and related practices. This was followed by conducting interviews and surveys with experts in the field, including professionals from the telecommunication industry and data management consultants, to gather their insights and recommendations on best practices for data restoration after an upgrade. The next step involved conducting a comparative analysis of various data restoration methods used by organizations similar to XYZ. Based on the findings, a data restoration strategy was formulated to suit the needs of XYZ.
Deliverables:
The following deliverables were provided to XYZ as part of the data restoration consulting approach:
1. A detailed analysis of existing data restoration practices in the industry.
2. A comparison of data restoration methods used by similar organizations.
3. A customized data restoration plan for XYZ.
4. Recommendations for data security measures during the restoration process.
5. An implementation roadmap with timelines.
Implementation Challenges:
The main challenge identified during the implementation of the data restoration approach was the potential risk of data loss or corruption during the upgrade process. As the test data was stored in the same system as the live data, any wrong move could result in significant losses for the organization. Another challenge was to ensure that the restored data is error-free and can be used for future testing if needed.
KPIs:
The following key performance indicators (KPIs) were identified to measure the success of the data restoration approach:
1. Time taken to complete the restoration process.
2. Accuracy and completeness of the restored data.
3. Data security measures implemented during the restoration process.
4. Cost-effectiveness of the restoration plan.
5. Customer satisfaction with the overall upgrade process.
Management Considerations:
The management of XYZ should consider the following factors while handling the data used for testing after the upgrade:
1. Compliance with data protection regulations: The organization must ensure compliance with relevant data protection laws to avoid any legal implications.
2. Data security measures: Appropriate data security measures must be implemented to prevent unauthorized access or modifications to the restored data.
3. Limited access to sensitive data: Access to sensitive customer information should only be granted to a limited number of authorized personnel to reduce risks of data leaks or theft.
4. Data retention policy: A clear data retention policy must be established, outlining the duration for which the restored data will be retained.
5. Testing contingency plan: In case of any errors or issues with the restored data, the organization must have a contingency plan in place to ensure minimal disruption to its operations.
Conclusion:
In conclusion, it is crucial for organizations like XYZ to have a well-defined data restoration plan in place after completing an upgrade. The plan should consider factors such as data security, compliance, and cost-effectiveness. Following the consulting approach outlined in this case study, XYZ can successfully restore its test data while minimizing risks and ensuring efficient use of resources. Implementing effective data restoration practices not only ensures smooth completion of an upgrade but also helps organizations to maintain their reputation and gain a competitive edge in the industry.
References:
1. Abreu, F., & Kenjo, L. (2016). A framework for data restoration: The process, technical and human challenges. Journal of Computing Sciences in Colleges, 31(3), 93-98.
2. Bosua, R., Duff, G., & Mills, A. (2014). Data restoration in organizations: a cyber culture view of business continuity planning. Journal of Information Technology Management, 25(1), 60-72.
3. Chen, Y., Xu, X., & Yang, T. (2020). Research on backup data restoration method for big data systems. IEEE Access, 8, 90085-90094.
4. He, J. (2016). Impact analysis of data restoration technology on disaster recovery in cloud storage. Journal of Physics: Conference Series, 704(1), 012020.
5. Lee, L. K., & Rauniar, R. (2020). Examining disaster preparedness and recovery strategies for small businesses’ data management. Journal of Business Continuity & Emergency Planning, 13(3), 224-234.
6. Patel, P. (2019). 5 steps to implement a data retention policy. CIO. Retrieved from https://www.cio.com/article/3386695/5-steps-to-implement-a-data-retention-policy.html
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