Attention all data governance professionals and businesses!
Are you struggling to keep up with the ever-increasing demands of data security in today′s digital world? Look no further because we have the ultimate solution for you - our Data Security Governance in Data Governance Knowledge Base.
Our Knowledge Base is a comprehensive collection of the most important questions to ask when it comes to data security, prioritized by urgency and scope.
We understand that time is of the essence in your line of work, which is why our Knowledge Base provides you with quick and effective results that you can trust.
With over 1547 data security requirements, solutions, benefits, results, and real-life case studies and use cases, our Knowledge Base is the most extensive and thorough dataset available in the market.
But what sets us apart from our competitors and alternatives?Firstly, our Knowledge Base is specifically designed for professionals like you.
We know that you need reliable and accurate information to make informed decisions, and that′s exactly what our dataset provides.
Our product type is user-friendly and easy to navigate, making it suitable for both experts and beginners in the field.
But don′t worry, our Knowledge Base is not a costly, complicated solution.
In fact, it′s a DIY and affordable alternative to hiring expensive consultants or investing in complex software.
With just a few clicks, you can access all the information you need to secure your data effectively.
Our product details and specifications overview will give you a clear understanding of what our Knowledge Base offers.
It is designed to address all your data security needs and concerns, covering a wide range of topics such as risk assessment, compliance, encryption, and more.
You might be wondering, why should I choose a specific product for data security when there are so many semi-related products available in the market? Well, our Knowledge Base is specialist and tailor-made for data security governance.
We focus solely on this aspect, ensuring that our dataset is of the highest quality and relevance to your needs.
But the benefits of our Knowledge Base do not end there.
By using our dataset, you will save time, money, and mitigate any potential risks associated with data breaches.
With our extensive research and proven track record in data security, you can trust our Knowledge Base to provide you with the most up-to-date and reliable information.
Whether you are an individual professional looking to elevate your career or a business striving for data protection and compliance, our Knowledge Base is the ultimate tool for you.
It is a cost-effective solution that comes with pros and cons, as any good product does.
But we promise you, the pros far outweigh the cons when it comes to securing your valuable data.
In summary, our Data Security Governance in Data Governance Knowledge Base is the go-to resource for all your data security needs.
It is a one-stop-shop that provides you with everything you need to know in one convenient place.
Don′t wait any longer, invest in our Knowledge Base now and give your data the protection it deserves.
What are the costs/issues/concerns associated with data governance related to digital technologies?
Data Security Governance
Data security governance is the process of managing and protecting sensitive data within an organization to ensure compliance and minimize risks. This involves implementing policies, procedures, and controls to safeguard data from unauthorized access, use, and disclosure. The costs and issues associated with data governance for digital technologies include potential data breaches, regulatory fines, reputational damage, and the need for constant updates and maintenance. Concerns also revolve around balancing data privacy with business needs and ensuring data is accessible and usable for legitimate purposes.
1. Regular audits and risk assessments to identify vulnerabilities and improve security measures.
- Can uncover potential security gaps and weaknesses, allowing for timely mitigation and protection against cyber threats.
2. Implementation of a robust data classification system to organize and protect sensitive information.
- Helps prioritize data security efforts and ensure proper handling of sensitive data, reducing the risk of data breaches.
3. Utilizing encryption to protect data both at rest and in transit.
- Provides an additional layer of security to prevent unauthorized access and maintain data confidentiality.
4. Implementation of data loss prevention (DLP) tools to monitor and prevent unauthorized data access or leakage.
- Allows for better visibility and control over data movement, preventing data breaches and compliance violations.
5. Regular employee training and awareness programs on data security best practices and policies.
- Helps create a culture of data security and reduces the risk of human error leading to data breaches.
6. Employing multi-factor authentication for accessing sensitive data and systems.
- Adds an extra layer of security to prevent unauthorized access, especially for remote access to corporate networks.
7. Partnering with trusted and certified third-party vendors for secure data storage and processing.
- Ensures that sensitive data is stored and handled by qualified experts with appropriate security measures in place.
8. Maintaining compliance with data privacy regulations such as GDPR and CCPA.
- Avoids hefty fines and reputational damage from non-compliance, while also demonstrating a commitment to protecting consumer data.
CONTROL QUESTION: What are the costs/issues/concerns associated with data governance related to digital technologies?
Big Hairy Audacious Goal (BHAG) for 10 years from now:
The big hairy audacious goal for Data Security Governance in 10 years from now is to achieve 100% secure and compliant data management across all digital technologies. This means implementing robust and adaptable governance strategies that can effectively handle the ever-evolving landscape of digital technologies and the data they generate.
The costs/issues/concerns associated with data governance related to digital technologies in pursuit of this goal include:
1. Technological Complexity: The rapid growth and change of digital technologies make it challenging to keep up with the latest security measures and compliance requirements. Data governance strategies need to be able to adapt to new technologies and potential vulnerabilities to ensure data is always secure.
2. Financial Investment: Implementing a comprehensive data governance strategy for all digital technologies can be costly. This includes investing in security tools and technologies, hiring skilled personnel, and training employees on data security protocols.
3. Balancing Security and Usability: The goal of data governance is to ensure data security but not at the expense of usability. Striking a balance between strict security policies and ease of use for employees and customers can be a challenge, especially with the diversity of digital technologies being used.
4. Fragmentation of Data: With the rise of cloud computing and mobile devices, data is being stored in multiple locations and accessed from various platforms. This fragmentation makes it difficult to implement centralized governance and increases the risk of data breaches.
5. Regulatory Compliance: Data governance strategies must comply with a growing number of laws and regulations related to data privacy and security, such as GDPR and CCPA. Failure to comply can result in hefty fines and damage to the organization′s reputation.
6. Insider Threats: Even with the most advanced security measures in place, employee negligence or malicious intent can compromise data security. Data governance strategies must include strict access controls and thorough employee training to mitigate the risk of insider threats.
In conclusion, achieving 100% secure and compliant data management across all digital technologies in 10 years will require a strategic and proactive approach to data governance, investment in cutting-edge technologies, and the ability to adapt to evolving regulations and threats.
"The variety of prioritization methods offered is fantastic. I can tailor the recommendations to my specific needs and goals, which gives me a huge advantage."
Client Situation: ABC Corporation is a multinational company that operates in various sectors including technology, healthcare, and finance. The company has faced several security breaches in the past, leading to significant financial and reputational losses. In light of these incidents, the management of ABC Corporation has recognized the need for a comprehensive data security governance program to protect sensitive information and comply with relevant regulations.
Consulting Methodology: In order to address the client′s situation, our consulting firm has followed a three-step methodology:
1) Assessing Current Data Security Measures: The first step involved conducting a thorough assessment of the existing data security measures at ABC Corporation. This included examining policies, procedures, and technologies in place to safeguard data.
2) Identifying Gaps and Risks: Based on the assessment, our team identified gaps and risks in the current data security framework. This involved assessing potential vulnerabilities and threats, as well as evaluating existing controls and their effectiveness.
3) Developing a Comprehensive Data Security Governance Program: The final step was to develop a comprehensive data security governance program tailored to the specific needs of ABC Corporation. This program outlined strategies and processes to mitigate risks, comply with regulations, and ensure the protection of sensitive data.
Deliverables: The consulting firm delivered the following key deliverables to ABC Corporation:
1) Data Security Gap Analysis Report: This report provided an overview of the current state of data security at ABC Corporation and identified gaps and risks.
2) Data Security Governance Program: The program outlined policies, procedures, and controls for data security, including incident response plans, training procedures, and risk management strategies.
3) Implementation Plan: The consulting firm also provided an implementation plan that detailed the steps and resources required to successfully execute the data security governance program.
Implementation Challenges: The implementation of the data security governance program presented the following challenges:
1) Resistance to Change: Implementing a data security governance program required changes to existing processes and procedures, which can often meet resistance from employees.
2) Resource Constraints: The implementation of new policies and procedures required additional resources and may have impacted the organization′s budget and operations.
3) Compliance Challenges: As ABC Corporation operates in different industries, complying with various regulations posed a challenge in implementing a data security governance program that covered all applicable laws.
Key Performance Indicators (KPIs): To measure the success of the data security governance program, the consulting firm identified the following KPIs:
1) Number of Data Breaches: A decrease in the number of data breaches would indicate the effectiveness of the program in mitigating risks.
2) Compliance with Regulations: The program aimed to ensure compliance with relevant regulations, and regular audits were conducted to measure this KPI.
3) Employee Training: Training programs were implemented, and regular assessments were conducted to monitor the level of employees′ understanding and adherence to data security policies.
Management Considerations: To successfully implement and sustain the data security governance program, the management of ABC Corporation needs to consider the following:
1) Continual Monitoring and Updates: Data security threats and regulations are constantly evolving, and the company must regularly monitor and update its policies and procedures accordingly.
2) Resource Allocation: The success of the program depends on adequate resource allocation and support from the top management.
3) Communication and Training: Effective communication and training programs are essential to ensure employee buy-in and understanding of the importance of data security.
Conclusion: The implementation of a comprehensive data security governance program is crucial for organizations like ABC Corporation, especially in the era of digital technologies and increasing cybersecurity threats. Our consulting firm was able to help ABC Corporation mitigate risks, comply with regulations, and safeguard sensitive data through our tailored approach and expertise in data security governance. The key to sustaining the program′s success would be continuous monitoring, updates, and support from the organization′s management.
References:
1) Whitepaper: The Importance of Data Security Governance in the Digital Era, by PwC.
2) Journal Article: The Role of Internal Audit in Data Security Governance, by KPMG.
3) Market Research Report: Global Data Security Market Size, Share & Trends Analysis Report, by Grand View Research.
4) Whitepaper: Effective Data Security Governance: Key Considerations for Success, by Deloitte.
Are you struggling to keep up with the ever-increasing demands of data security in today′s digital world? Look no further because we have the ultimate solution for you - our Data Security Governance in Data Governance Knowledge Base.
Our Knowledge Base is a comprehensive collection of the most important questions to ask when it comes to data security, prioritized by urgency and scope.
We understand that time is of the essence in your line of work, which is why our Knowledge Base provides you with quick and effective results that you can trust.
With over 1547 data security requirements, solutions, benefits, results, and real-life case studies and use cases, our Knowledge Base is the most extensive and thorough dataset available in the market.
But what sets us apart from our competitors and alternatives?Firstly, our Knowledge Base is specifically designed for professionals like you.
We know that you need reliable and accurate information to make informed decisions, and that′s exactly what our dataset provides.
Our product type is user-friendly and easy to navigate, making it suitable for both experts and beginners in the field.
But don′t worry, our Knowledge Base is not a costly, complicated solution.
In fact, it′s a DIY and affordable alternative to hiring expensive consultants or investing in complex software.
With just a few clicks, you can access all the information you need to secure your data effectively.
Our product details and specifications overview will give you a clear understanding of what our Knowledge Base offers.
It is designed to address all your data security needs and concerns, covering a wide range of topics such as risk assessment, compliance, encryption, and more.
You might be wondering, why should I choose a specific product for data security when there are so many semi-related products available in the market? Well, our Knowledge Base is specialist and tailor-made for data security governance.
We focus solely on this aspect, ensuring that our dataset is of the highest quality and relevance to your needs.
But the benefits of our Knowledge Base do not end there.
By using our dataset, you will save time, money, and mitigate any potential risks associated with data breaches.
With our extensive research and proven track record in data security, you can trust our Knowledge Base to provide you with the most up-to-date and reliable information.
Whether you are an individual professional looking to elevate your career or a business striving for data protection and compliance, our Knowledge Base is the ultimate tool for you.
It is a cost-effective solution that comes with pros and cons, as any good product does.
But we promise you, the pros far outweigh the cons when it comes to securing your valuable data.
In summary, our Data Security Governance in Data Governance Knowledge Base is the go-to resource for all your data security needs.
It is a one-stop-shop that provides you with everything you need to know in one convenient place.
Don′t wait any longer, invest in our Knowledge Base now and give your data the protection it deserves.
Discover Insights, Make Informed Decisions, and Stay Ahead of the Curve:
Key Features:
Comprehensive set of 1547 prioritized Data Security Governance requirements. - Extensive coverage of 236 Data Security Governance topic scopes.
- In-depth analysis of 236 Data Security Governance step-by-step solutions, benefits, BHAGs.
- Detailed examination of 236 Data Security Governance 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: Data Governance Data Owners, Data Governance Implementation, Access Recertification, MDM Processes, Compliance Management, Data Governance Change Management, Data Governance Audits, Global Supply Chain Governance, Governance risk data, IT Systems, MDM Framework, Personal Data, Infrastructure Maintenance, Data Inventory, Secure Data Processing, Data Governance Metrics, Linking Policies, ERP Project Management, Economic Trends, Data Migration, Data Governance Maturity Model, Taxation Practices, Data Processing Agreements, Data Compliance, Source Code, File System, Regulatory Governance, Data Profiling, Data Governance Continuity, Data Stewardship Framework, Customer-Centric Focus, Legal Framework, Information Requirements, Data Governance Plan, Decision Support, Data Governance Risks, Data Governance Evaluation, IT Staffing, AI Governance, Data Governance Data Sovereignty, Data Governance Data Retention Policies, Security Measures, Process Automation, Data Validation, Data Governance Data Governance Strategy, Digital Twins, Data Governance Data Analytics Risks, Data Governance Data Protection Controls, Data Governance Models, Data Governance Data Breach Risks, Data Ethics, Data Governance Transformation, Data Consistency, Data Lifecycle, Data Governance Data Governance Implementation Plan, Finance Department, Data Ownership, Electronic Checks, Data Governance Best Practices, Data Governance Data Users, Data Integrity, Data Legislation, Data Governance Disaster Recovery, Data Standards, Data Governance Controls, Data Governance Data Portability, Crowdsourced Data, Collective Impact, Data Flows, Data Governance Business Impact Analysis, Data Governance Data Consumers, Data Governance Data Dictionary, Scalability Strategies, Data Ownership Hierarchy, Leadership Competence, Request Automation, Data Analytics, Enterprise Architecture Data Governance, EA Governance Policies, Data Governance Scalability, Reputation Management, Data Governance Automation, Senior Management, Data Governance Data Governance Committees, Data classification standards, Data Governance Processes, Fairness Policies, Data Retention, Digital Twin Technology, Privacy Governance, Data Regulation, Data Governance Monitoring, Data Governance Training, Governance And Risk Management, Data Governance Optimization, Multi Stakeholder Governance, Data Governance Flexibility, Governance Of Intelligent Systems, Data Governance Data Governance Culture, Data Governance Enhancement, Social Impact, Master Data Management, Data Governance Resources, Hold It, Data Transformation, Data Governance Leadership, Management Team, Discovery Reporting, Data Governance Industry Standards, Automation Insights, AI and decision-making, Community Engagement, Data Governance Communication, MDM Master Data Management, Data Classification, And Governance ESG, Risk Assessment, Data Governance Responsibility, Data Governance Compliance, Cloud Governance, Technical Skills Assessment, Data Governance Challenges, Rule Exceptions, Data Governance Organization, Inclusive Marketing, Data Governance, ADA Regulations, MDM Data Stewardship, Sustainable Processes, Stakeholder Analysis, Data Disposition, Quality Management, Governance risk policies and procedures, Feedback Exchange, Responsible Automation, Data Governance Procedures, Data Governance Data Repurposing, Data generation, Configuration Discovery, Data Governance Assessment, Infrastructure Management, Supplier Relationships, Data Governance Data Stewards, Data Mapping, Strategic Initiatives, Data Governance Responsibilities, Policy Guidelines, Cultural Excellence, Product Demos, Data Governance Data Governance Office, Data Governance Education, Data Governance Alignment, Data Governance Technology, Data Governance Data Managers, Data Governance Coordination, Data Breaches, Data governance frameworks, Data Confidentiality, Data Governance Data Lineage, Data Responsibility Framework, Data Governance Efficiency, Data Governance Data Roles, Third Party Apps, Migration Governance, Defect Analysis, Rule Granularity, Data Governance Transparency, Website Governance, MDM Data Integration, Sourcing Automation, Data Integrations, Continuous Improvement, Data Governance Effectiveness, Data Exchange, Data Governance Policies, Data Architecture, Data Governance Governance, Governance risk factors, Data Governance Collaboration, Data Governance Legal Requirements, Look At, Profitability Analysis, Data Governance Committee, Data Governance Improvement, Data Governance Roadmap, Data Governance Policy Monitoring, Operational Governance, Data Governance Data Privacy Risks, Data Governance Infrastructure, Data Governance Framework, Future Applications, Data Access, Big Data, Out And, Data Governance Accountability, Data Governance Compliance Risks, Building Confidence, Data Governance Risk Assessments, Data Governance Structure, Data Security, Sustainability Impact, Data Governance Regulatory Compliance, Data Audit, Data Governance Steering Committee, MDM Data Quality, Continuous Improvement Mindset, Data Security Governance, Access To Capital, KPI Development, Data Governance Data Custodians, Responsible Use, Data Governance Principles, Data Integration, Data Governance Organizational Structure, Data Governance Data Governance Council, Privacy Protection, Data Governance Maturity, Data Governance Policy, AI Development, Data Governance Tools, MDM Business Processes, Data Governance Innovation, Data Strategy, Account Reconciliation, Timely Updates, Data Sharing, Extract Interface, Data Policies, Data Governance Data Catalog, Innovative Approaches, Big Data Ethics, Building Accountability, Release Governance, Benchmarking Standards, Technology Strategies, Data Governance Reviews
Data Security Governance Assessment Dataset - Utilization, Solutions, Advantages, BHAG (Big Hairy Audacious Goal):
Data Security Governance
Data security governance is the process of managing and protecting sensitive data within an organization to ensure compliance and minimize risks. This involves implementing policies, procedures, and controls to safeguard data from unauthorized access, use, and disclosure. The costs and issues associated with data governance for digital technologies include potential data breaches, regulatory fines, reputational damage, and the need for constant updates and maintenance. Concerns also revolve around balancing data privacy with business needs and ensuring data is accessible and usable for legitimate purposes.
1. Regular audits and risk assessments to identify vulnerabilities and improve security measures.
- Can uncover potential security gaps and weaknesses, allowing for timely mitigation and protection against cyber threats.
2. Implementation of a robust data classification system to organize and protect sensitive information.
- Helps prioritize data security efforts and ensure proper handling of sensitive data, reducing the risk of data breaches.
3. Utilizing encryption to protect data both at rest and in transit.
- Provides an additional layer of security to prevent unauthorized access and maintain data confidentiality.
4. Implementation of data loss prevention (DLP) tools to monitor and prevent unauthorized data access or leakage.
- Allows for better visibility and control over data movement, preventing data breaches and compliance violations.
5. Regular employee training and awareness programs on data security best practices and policies.
- Helps create a culture of data security and reduces the risk of human error leading to data breaches.
6. Employing multi-factor authentication for accessing sensitive data and systems.
- Adds an extra layer of security to prevent unauthorized access, especially for remote access to corporate networks.
7. Partnering with trusted and certified third-party vendors for secure data storage and processing.
- Ensures that sensitive data is stored and handled by qualified experts with appropriate security measures in place.
8. Maintaining compliance with data privacy regulations such as GDPR and CCPA.
- Avoids hefty fines and reputational damage from non-compliance, while also demonstrating a commitment to protecting consumer data.
CONTROL QUESTION: What are the costs/issues/concerns associated with data governance related to digital technologies?
Big Hairy Audacious Goal (BHAG) for 10 years from now:
The big hairy audacious goal for Data Security Governance in 10 years from now is to achieve 100% secure and compliant data management across all digital technologies. This means implementing robust and adaptable governance strategies that can effectively handle the ever-evolving landscape of digital technologies and the data they generate.
The costs/issues/concerns associated with data governance related to digital technologies in pursuit of this goal include:
1. Technological Complexity: The rapid growth and change of digital technologies make it challenging to keep up with the latest security measures and compliance requirements. Data governance strategies need to be able to adapt to new technologies and potential vulnerabilities to ensure data is always secure.
2. Financial Investment: Implementing a comprehensive data governance strategy for all digital technologies can be costly. This includes investing in security tools and technologies, hiring skilled personnel, and training employees on data security protocols.
3. Balancing Security and Usability: The goal of data governance is to ensure data security but not at the expense of usability. Striking a balance between strict security policies and ease of use for employees and customers can be a challenge, especially with the diversity of digital technologies being used.
4. Fragmentation of Data: With the rise of cloud computing and mobile devices, data is being stored in multiple locations and accessed from various platforms. This fragmentation makes it difficult to implement centralized governance and increases the risk of data breaches.
5. Regulatory Compliance: Data governance strategies must comply with a growing number of laws and regulations related to data privacy and security, such as GDPR and CCPA. Failure to comply can result in hefty fines and damage to the organization′s reputation.
6. Insider Threats: Even with the most advanced security measures in place, employee negligence or malicious intent can compromise data security. Data governance strategies must include strict access controls and thorough employee training to mitigate the risk of insider threats.
In conclusion, achieving 100% secure and compliant data management across all digital technologies in 10 years will require a strategic and proactive approach to data governance, investment in cutting-edge technologies, and the ability to adapt to evolving regulations and threats.
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Data Security Governance Case Study/Use Case example - How to use:
Client Situation: ABC Corporation is a multinational company that operates in various sectors including technology, healthcare, and finance. The company has faced several security breaches in the past, leading to significant financial and reputational losses. In light of these incidents, the management of ABC Corporation has recognized the need for a comprehensive data security governance program to protect sensitive information and comply with relevant regulations.
Consulting Methodology: In order to address the client′s situation, our consulting firm has followed a three-step methodology:
1) Assessing Current Data Security Measures: The first step involved conducting a thorough assessment of the existing data security measures at ABC Corporation. This included examining policies, procedures, and technologies in place to safeguard data.
2) Identifying Gaps and Risks: Based on the assessment, our team identified gaps and risks in the current data security framework. This involved assessing potential vulnerabilities and threats, as well as evaluating existing controls and their effectiveness.
3) Developing a Comprehensive Data Security Governance Program: The final step was to develop a comprehensive data security governance program tailored to the specific needs of ABC Corporation. This program outlined strategies and processes to mitigate risks, comply with regulations, and ensure the protection of sensitive data.
Deliverables: The consulting firm delivered the following key deliverables to ABC Corporation:
1) Data Security Gap Analysis Report: This report provided an overview of the current state of data security at ABC Corporation and identified gaps and risks.
2) Data Security Governance Program: The program outlined policies, procedures, and controls for data security, including incident response plans, training procedures, and risk management strategies.
3) Implementation Plan: The consulting firm also provided an implementation plan that detailed the steps and resources required to successfully execute the data security governance program.
Implementation Challenges: The implementation of the data security governance program presented the following challenges:
1) Resistance to Change: Implementing a data security governance program required changes to existing processes and procedures, which can often meet resistance from employees.
2) Resource Constraints: The implementation of new policies and procedures required additional resources and may have impacted the organization′s budget and operations.
3) Compliance Challenges: As ABC Corporation operates in different industries, complying with various regulations posed a challenge in implementing a data security governance program that covered all applicable laws.
Key Performance Indicators (KPIs): To measure the success of the data security governance program, the consulting firm identified the following KPIs:
1) Number of Data Breaches: A decrease in the number of data breaches would indicate the effectiveness of the program in mitigating risks.
2) Compliance with Regulations: The program aimed to ensure compliance with relevant regulations, and regular audits were conducted to measure this KPI.
3) Employee Training: Training programs were implemented, and regular assessments were conducted to monitor the level of employees′ understanding and adherence to data security policies.
Management Considerations: To successfully implement and sustain the data security governance program, the management of ABC Corporation needs to consider the following:
1) Continual Monitoring and Updates: Data security threats and regulations are constantly evolving, and the company must regularly monitor and update its policies and procedures accordingly.
2) Resource Allocation: The success of the program depends on adequate resource allocation and support from the top management.
3) Communication and Training: Effective communication and training programs are essential to ensure employee buy-in and understanding of the importance of data security.
Conclusion: The implementation of a comprehensive data security governance program is crucial for organizations like ABC Corporation, especially in the era of digital technologies and increasing cybersecurity threats. Our consulting firm was able to help ABC Corporation mitigate risks, comply with regulations, and safeguard sensitive data through our tailored approach and expertise in data security governance. The key to sustaining the program′s success would be continuous monitoring, updates, and support from the organization′s management.
References:
1) Whitepaper: The Importance of Data Security Governance in the Digital Era, by PwC.
2) Journal Article: The Role of Internal Audit in Data Security Governance, by KPMG.
3) Market Research Report: Global Data Security Market Size, Share & Trends Analysis Report, by Grand View Research.
4) Whitepaper: Effective Data Security Governance: Key Considerations for Success, by Deloitte.
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