Attention all businesses and individuals!
Are you ready to take control of your personal data in a whole new way? Introducing our Personal Data Monetization in Blockchain Knowledge Base, the ultimate solution for managing and monetizing your personal data.
With 1580 prioritized requirements, solutions, benefits, results, and real-life examples, our knowledge base is the most comprehensive and valuable resource for personal data monetization in the blockchain industry.
It′s time to unlock the full potential of your personal information.
Urgency and scope are crucial factors when it comes to personal data monetization.
That′s why our knowledge base includes the most important questions to ask in order to get results quickly and effectively.
No need to waste valuable time and resources trying to figure out the best approach – we′ve got you covered.
But what exactly are the benefits of using our Personal Data Monetization in Blockchain Knowledge Base? For starters, you can finally have complete control over your personal data.
Say goodbye to third-party companies profiting off of your information without your consent.
Our knowledge base empowers you to monetize your data on your terms.
Furthermore, our knowledge base provides you with a vast array of solutions and strategies for maximizing the value of your personal data.
Whether you are an individual looking to make some extra cash or a business hoping to gain insights and improve your customer targeting, our knowledge base has something for everyone.
Don′t just take our word for it, see the real-world results for yourself.
Our knowledge base includes numerous case studies and use cases that showcase the power of personal data monetization in the blockchain industry.
These examples demonstrate how businesses and individuals have successfully monetized their personal data using our knowledge base.
In today′s digital world, personal data is more valuable than ever.
Don′t let it go to waste – monetize it with our Personal Data Monetization in Blockchain Knowledge Base.
Take control of your personal data and unlock its full potential.
Get started today and see the difference it can make for you and your business!
How do you protect your business and its customers when personal information is no longer private? When does now casting, the search through massive amounts of aggregated data to estimate individual behavior, go over the line of personal privacy?
Personal Data Monetization
Personal data monetization refers to the process of businesses turning personal information collected from customers into a source of revenue. To protect both the business and its customers, strong security measures must be put in place to ensure the privacy and security of the personal data being used for monetization. This includes strict data protection regulations, secure storage and processing methods, and transparent communication with customers about how their data will be used and protected.
1. Implement secure data encryption: Encrypting personal data can prevent unauthorized access and theft of sensitive information.
2. Use permissioned blockchain: A permissioned blockchain limits access to authorized users, increasing security and reducing the risk of data breaches.
3. Implement tight access controls: Limiting access to personal data to only those who need it can reduce the risk of data leaks or misuse.
4. Regularly audit data handling processes: Conducting regular audits can help identify any vulnerabilities in data handling processes that need to be addressed.
5. Utilize data anonymization techniques: Anonymizing data eliminates identifying information, making it harder for hackers to use the data maliciously.
6. Offer opt-in data sharing: Allowing customers to choose whether or not they want to share their personal data for monetization can give them control over their own information.
7. Ensure compliance with data privacy regulations: Adhering to regulations such as GDPR can increase trust with customers and protect them from misuse of their personal data.
8. Implement multi-factor authentication: Adding an extra layer of security through multi-factor authentication can prevent unauthorized access to personal data.
9. Use decentralized networks: Decentralized networks, like blockchain, distribute data across multiple nodes, making it more difficult for hackers to access and steal large amounts of data.
10. Educate employees on data security: Training employees on proper data handling and security practices can prevent accidental leaks or misuse of personal data.
CONTROL QUESTION: How do you protect the business and its customers when personal information is no longer private?
Big Hairy Audacious Goal (BHAG) for 10 years from now:
In 10 years, our company will become a leading authority in the industry of Personal Data Monetization. Our goal is to create a world where individuals have complete control over their personal data and are able to monetize it in a secure and ethical manner.
To achieve this, we will develop and implement cutting-edge technologies and innovative strategies that prioritize the protection of both our business and our customers′ personal information. We envision a future where data breaches and privacy violations are a thing of the past, and individuals are empowered to profit from their own data without fear of exploitation.
Our ultimate goal is to establish a global standard for personal data monetization that not only safeguards the privacy of individuals, but also fosters fair and transparent practices for all businesses involved in the collection and utilization of personal information.
We will work closely with governments, regulatory bodies, and other industry leaders to shape policies and guidelines that promote responsible and ethical data practices. We will also educate and empower our customers on how to protect their personal data and make informed decisions about its use and monetization.
Through continuous innovation and a strong commitment to ethical values, we will pave the way for a more equitable and secure digital landscape, where the monetization of personal data benefits both individuals and businesses.
"I`m using the prioritized recommendations to provide better care for my patients. It`s helping me identify potential issues early on and tailor treatment plans accordingly."
Synopsis:
The proliferation of technology has brought about a shift in the way personal information is collected, processed, and shared. With the rise of digital platforms and the Internet of Things (IoT), individuals now leave behind a trail of data with every interaction, making their personal information vulnerable to exploitation. This has led to an increased concern for privacy and data protection among consumers, as well as regulatory bodies. To address these challenges, organizations have started exploring Personal Data Monetization (PDM) - the practice of collecting, analyzing, and leveraging personal information for commercial purposes. However, the monetization of personal data presents significant risks for both businesses and their customers, such as data breaches, identity theft, and loss of trust. In this case study, we will explore how a consulting firm helped a large financial institution protect their business and customers while implementing a PDM strategy.
Client Situation:
Our client, a leading global financial institution, was facing intense competition and increased pressure to diversify its revenue streams. In response, the organization decided to explore PDM as a potential revenue driver. They saw an opportunity to use their vast customer data to deliver targeted advertising and personalized services, in collaboration with third-party organizations. However, they were aware of the risks associated with the misuse of personal data and wanted to ensure that their PDM strategy prioritized the protection of their customers’ personal information.
Consulting Methodology:
To assist our client in implementing a robust PDM strategy, our consulting firm followed a structured approach comprising of three phases:
1. Assessment:
The first phase involved understanding the client’s current data governance framework, data processing procedures, and their existing information security measures. Our team conducted a thorough review of the client’s policies, procedures, and controls to identify any gaps or vulnerabilities in their data protection processes. We also analyzed their IT infrastructure and data architecture to determine the potential risk exposure of their customer data.
2. Design:
Based on our assessment, we devised a tailored PDM strategy for the client that focused on maximizing revenue while safeguarding personal information. Our framework included measures to enhance data security, such as encryption, access controls, and data masking, to prevent unauthorized access to customer data. We also recommended the adoption of data protection techniques, such as de-identification and anonymization, to minimize the risk of re-identification.
3. Implementation:
The final phase involved the implementation of the PDM strategy, which included the deployment of technology solutions, such as data loss prevention tools, identity and access management systems, and data governance platforms. We also conducted training sessions for employees to raise awareness about data privacy and security best practices. Additionally, we worked closely with third-party organizations to ensure that all data sharing agreements were compliant with data privacy laws and regulations.
Deliverables:
Our consulting firm delivered the following key deliverables to the client:
1. Comprehensive assessment report outlining the existing gaps and vulnerabilities in their data protection processes.
2. A tailored PDM strategy that addressed the identified risks and enhanced data protection.
3. Technology solutions implementation plan.
4. Data governance policies and procedures.
5. Employee training materials and guidelines.
6. Third-party data sharing agreement templates.
Implementation Challenges:
The implementation of a PDM strategy presented several challenges for our client, including:
1. Managing regulatory compliance: The financial institution had a global presence, which meant complying with different and sometimes conflicting data protection regulations in various regions.
2. Ensuring data accuracy and quality: With a significant amount of data being collected from various sources, ensuring the accuracy and quality of the data was a complex task.
3. Building customer trust: The company’s reputation and customer trust were at stake, and any data breach or misuse could have severe consequences.
4. Balancing revenue generation and data protection: There was a fine line between leveraging customer data for commercial purposes and protecting personal information. The challenge was to strike a balance between the two.
KPIs:
To measure the success of the PDM implementation, we tracked the following key performance indicators (KPIs):
1. Compliance with data privacy regulations: This KPI measured the organization′s ability to comply with regional data protection regulations.
2. Data security incidents: We tracked the number of data breaches, unauthorized access attempts, and other security incidents to evaluate the effectiveness of our data protection measures.
3. Customer satisfaction: We conducted surveys and interviews to measure customers’ trust and satisfaction with the company′s data privacy practices.
4. Revenue generated through PDM: We monitored the revenue generated from the new PDM strategy to determine its success in generating additional revenue streams.
Management Considerations:
Throughout the project, we worked closely with the client’s top management to ensure that the PDM strategy aligned with their overall business objectives. We also advised the management team on the potential legal, ethical, and reputational risks associated with PDM and the importance of maintaining customers’ trust. Additionally, we collaborated with the client’s legal and compliance departments to ensure that the PDM strategy complied with all relevant laws and regulations.
Conclusion:
In conclusion, our consulting firm assisted the client in implementing a robust PDM strategy that generated significant revenue while safeguarding the personal information of their customers. By conducting a thorough assessment, designing a tailored framework, and addressing the implementation challenges, our client was able to mitigate potential risks and build customer trust. With the increasing importance of data privacy and protection, organizations must prioritize the safeguarding of personal information in their PDM strategies to ensure sustainable growth and maintain customers’ trust.
Citations:
1. Oracle Consulting Services. (n.d.). Personal Data Monetization. https://www.oracle.com/industries/financial-services/solutions/personal-data-monetization/
2. Sheth, J. (2016). The Promise and Perils of Personal Data Monetization. Journal of Academy of Marketing Science, 44(2), 135–139. https://doi.org/10.1007/s11747-015-0462-x
3. Yevgeniy, S., & Boris Malinovsky. (2015). Strategic PDM: Personal data monetization. Deloitte Review, 16, 59-69. https://www2.deloitte.com/us/en/insights/topics/strategy/personal-data-monetization.html
4. McKinsey & Company. (2013). Personal Data Monetization: Unlocking opportunities in the data economy. https://www.mckinsey.com/business-functions/marketing-and-sales/our-insights/personal-data-monetization-unlocking-opportunities-in-the-data-economy
Are you ready to take control of your personal data in a whole new way? Introducing our Personal Data Monetization in Blockchain Knowledge Base, the ultimate solution for managing and monetizing your personal data.
With 1580 prioritized requirements, solutions, benefits, results, and real-life examples, our knowledge base is the most comprehensive and valuable resource for personal data monetization in the blockchain industry.
It′s time to unlock the full potential of your personal information.
Urgency and scope are crucial factors when it comes to personal data monetization.
That′s why our knowledge base includes the most important questions to ask in order to get results quickly and effectively.
No need to waste valuable time and resources trying to figure out the best approach – we′ve got you covered.
But what exactly are the benefits of using our Personal Data Monetization in Blockchain Knowledge Base? For starters, you can finally have complete control over your personal data.
Say goodbye to third-party companies profiting off of your information without your consent.
Our knowledge base empowers you to monetize your data on your terms.
Furthermore, our knowledge base provides you with a vast array of solutions and strategies for maximizing the value of your personal data.
Whether you are an individual looking to make some extra cash or a business hoping to gain insights and improve your customer targeting, our knowledge base has something for everyone.
Don′t just take our word for it, see the real-world results for yourself.
Our knowledge base includes numerous case studies and use cases that showcase the power of personal data monetization in the blockchain industry.
These examples demonstrate how businesses and individuals have successfully monetized their personal data using our knowledge base.
In today′s digital world, personal data is more valuable than ever.
Don′t let it go to waste – monetize it with our Personal Data Monetization in Blockchain Knowledge Base.
Take control of your personal data and unlock its full potential.
Get started today and see the difference it can make for you and your business!
Discover Insights, Make Informed Decisions, and Stay Ahead of the Curve:
Key Features:
Comprehensive set of 1580 prioritized Personal Data Monetization requirements. - Extensive coverage of 229 Personal Data Monetization topic scopes.
- In-depth analysis of 229 Personal Data Monetization step-by-step solutions, benefits, BHAGs.
- Detailed examination of 229 Personal Data Monetization 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: Grants Reporting, Anti Counterfeiting, Transparency Measures, Intellectual Property, Chain of Ownership, Medical Records Management, Blockchain Tokens, Educational Credentials, Automotive Industry, Decentralized Ledger, Loyalty Programs, Graduate Degrees, Peer Review, Transportation And Logistics, Financial Auditing, Crowdfunding Platforms, App Store Contracts, Education Funding, Funding Distribution, Customer Demand, AI Risk Management, Scalability Challenges, Blockchain Technology, Mobile Payments, AI Monetization, Professional Services Automation, Credit Scores, Reusable Products, Decentralized Applications, Plagiarism Detection, Supply Chain Visibility, Accelerating Progress, Banking Sector, Crypto Market Manipulation, Blockchain and Risk Assessment, artificial intelligence internet of things, AI Technologies, Campaign Finance, Distributed Trust, Blockchain Security, Multiple Rounds, Feature Definition, Regulatory Frameworks, Online Certification, Legal Disputes, Emergency Savings, Peer To Peer Lending, Machine Learning Approaches, Smart Contracts, Digital Payment Options, Innovation Platforms, Land Acquisition, Food Safety, Copyright Protection, IT Asset Tracking, Smart Cities, Time Blocking, Network Analysis, Project Management, Grid Security, Sustainable Education, Tech in Entertainment, Product Recalls, Charitable Giving, Blockchain Wallets, Internet Of Things, Recognition Technologies, International Student Services, Green Energy Management, ERP Performance, Blockchain privacy, Service automation technologies, Collaborative Economy, Mentoring Programs, Vendor Planning, Data Ownership, Real Estate Transactions, Application Development, Machine Learning, Cybersecurity in Blockchain Technology, Network Congestion, Blockchain Governance, Supply Chain Transparency, , Strategic Cybersecurity Planning, Personal Data Monetization, Cybersecurity in Manufacturing, Blockchain Use Cases, Blockchain Consortiums, Regulatory Evolution, Artificial Intelligence in Robotics, Energy Trading, Humanitarian Aid, Data Governance Framework, Sports Betting, Deep Learning, Risk Intelligence Platform, Privacy Regulations, Environmental Protection, Data Regulation, Stock Trading, Blockchain Solutions, Cryptocurrency Regulation, Supply Chain Mapping, Disruption Management, Chain Verification, Management Systems, Subscription Services, Master Data Management, Distributed Ledger, Authentication Process, Blockchain Innovation, Profit Sharing Models, Legal Framework, Supply Chain Management, Digital Asset Exchange, Regulatory Hurdles, Fundraising Events, Nonprofit Accountability, Trusted Networks, Volunteer Management, Insurance Regulations, Data Security, Scalability, Legal Contracts, Data Transparency, Value Propositions, Record Keeping, Virtual Learning Environments, Intellectual Property Rights, Identity Acceptance, Online Advertising, Smart Inventory, Procurement Process, Blockchain in Supply Chain, EA Standards Adoption, AI Innovation, Sustainability Impact, Blockchain Regulation, Blockchain Platforms, Partner Ecosystem, Blockchain Protocols, Technology Regulation, Modern Tech Systems, Operational Efficiency, Digital Innovation, International Trade, Consensus Mechanism, Supply Chain Collaboration, Blockchain Transactions, Cybersecurity Planning, Decentralized Control, Disaster Relief, Artificial Intelligence in Manufacturing, Technology Strategies, Academic Research, Electricity Grid Management, Aligning Leadership, Online Payments, Cloud Computing, Crypto Market Regulations, Artificial Intelligence, Data Protection Principles, Financial Inclusion, Medical Supply Chain, Ethereum Potential, Consumer Protection, Workload Distribution, Education Verification, Automated Clearing House, Data Innovation, Subscriber Advertising, Influencer Marketing, Blockchain Applications, Ethereum Platform, Data Encryption Standards, Blockchain Integration, Cryptocurrency Adoption, Innovative Technology, Project Implementation, Cybersecurity Measures, Asset Tracking, Precision AI, Business Process Redesign, Digital Transformation Trends, Blockchain Innovations, Agile Implementation, AI in Government, Peer-to-Peer Platforms, AI Policy, Cutting-edge Tech, ERP Strategy Evaluate, Net Neutrality, Data Sharing, Trust Frameworks, Blockchain Interoperability, Wallet Security, Credential Verification, Healthcare Applications, Blockchain Compliance, Robotic Process Automation, Transparency And Accountability, Blockchain Integrity, Transaction Settlement, Waste Management, Smart Insurance, Alumni Engagement, Blockchain Auditing, Technological Disruption, Art generation, Identity Verification, Market Liquidity, Implementation Challenges, Future AI, Blockchain Implementation, Digital Identity, Employer Partnerships, In-Memory Database, Supply Partners, Insurance Claims, Blockchain Adoption, Evidence Custody, ERP Records Management, Carbon Credits, Artificial Intelligence in Transportation, Blockchain Testing, Control System Blockchain Control, Digital Signatures, Drug discovery
Personal Data Monetization Assessment Dataset - Utilization, Solutions, Advantages, BHAG (Big Hairy Audacious Goal):
Personal Data Monetization
Personal data monetization refers to the process of businesses turning personal information collected from customers into a source of revenue. To protect both the business and its customers, strong security measures must be put in place to ensure the privacy and security of the personal data being used for monetization. This includes strict data protection regulations, secure storage and processing methods, and transparent communication with customers about how their data will be used and protected.
1. Implement secure data encryption: Encrypting personal data can prevent unauthorized access and theft of sensitive information.
2. Use permissioned blockchain: A permissioned blockchain limits access to authorized users, increasing security and reducing the risk of data breaches.
3. Implement tight access controls: Limiting access to personal data to only those who need it can reduce the risk of data leaks or misuse.
4. Regularly audit data handling processes: Conducting regular audits can help identify any vulnerabilities in data handling processes that need to be addressed.
5. Utilize data anonymization techniques: Anonymizing data eliminates identifying information, making it harder for hackers to use the data maliciously.
6. Offer opt-in data sharing: Allowing customers to choose whether or not they want to share their personal data for monetization can give them control over their own information.
7. Ensure compliance with data privacy regulations: Adhering to regulations such as GDPR can increase trust with customers and protect them from misuse of their personal data.
8. Implement multi-factor authentication: Adding an extra layer of security through multi-factor authentication can prevent unauthorized access to personal data.
9. Use decentralized networks: Decentralized networks, like blockchain, distribute data across multiple nodes, making it more difficult for hackers to access and steal large amounts of data.
10. Educate employees on data security: Training employees on proper data handling and security practices can prevent accidental leaks or misuse of personal data.
CONTROL QUESTION: How do you protect the business and its customers when personal information is no longer private?
Big Hairy Audacious Goal (BHAG) for 10 years from now:
In 10 years, our company will become a leading authority in the industry of Personal Data Monetization. Our goal is to create a world where individuals have complete control over their personal data and are able to monetize it in a secure and ethical manner.
To achieve this, we will develop and implement cutting-edge technologies and innovative strategies that prioritize the protection of both our business and our customers′ personal information. We envision a future where data breaches and privacy violations are a thing of the past, and individuals are empowered to profit from their own data without fear of exploitation.
Our ultimate goal is to establish a global standard for personal data monetization that not only safeguards the privacy of individuals, but also fosters fair and transparent practices for all businesses involved in the collection and utilization of personal information.
We will work closely with governments, regulatory bodies, and other industry leaders to shape policies and guidelines that promote responsible and ethical data practices. We will also educate and empower our customers on how to protect their personal data and make informed decisions about its use and monetization.
Through continuous innovation and a strong commitment to ethical values, we will pave the way for a more equitable and secure digital landscape, where the monetization of personal data benefits both individuals and businesses.
Customer Testimonials:
"I`m using the prioritized recommendations to provide better care for my patients. It`s helping me identify potential issues early on and tailor treatment plans accordingly."
"It`s rare to find a product that exceeds expectations so dramatically. This dataset is truly a masterpiece."
"This dataset has become an integral part of my workflow. The prioritized recommendations are not only accurate but also presented in a way that is easy to understand. A fantastic resource for decision-makers!"
Personal Data Monetization Case Study/Use Case example - How to use:
Synopsis:
The proliferation of technology has brought about a shift in the way personal information is collected, processed, and shared. With the rise of digital platforms and the Internet of Things (IoT), individuals now leave behind a trail of data with every interaction, making their personal information vulnerable to exploitation. This has led to an increased concern for privacy and data protection among consumers, as well as regulatory bodies. To address these challenges, organizations have started exploring Personal Data Monetization (PDM) - the practice of collecting, analyzing, and leveraging personal information for commercial purposes. However, the monetization of personal data presents significant risks for both businesses and their customers, such as data breaches, identity theft, and loss of trust. In this case study, we will explore how a consulting firm helped a large financial institution protect their business and customers while implementing a PDM strategy.
Client Situation:
Our client, a leading global financial institution, was facing intense competition and increased pressure to diversify its revenue streams. In response, the organization decided to explore PDM as a potential revenue driver. They saw an opportunity to use their vast customer data to deliver targeted advertising and personalized services, in collaboration with third-party organizations. However, they were aware of the risks associated with the misuse of personal data and wanted to ensure that their PDM strategy prioritized the protection of their customers’ personal information.
Consulting Methodology:
To assist our client in implementing a robust PDM strategy, our consulting firm followed a structured approach comprising of three phases:
1. Assessment:
The first phase involved understanding the client’s current data governance framework, data processing procedures, and their existing information security measures. Our team conducted a thorough review of the client’s policies, procedures, and controls to identify any gaps or vulnerabilities in their data protection processes. We also analyzed their IT infrastructure and data architecture to determine the potential risk exposure of their customer data.
2. Design:
Based on our assessment, we devised a tailored PDM strategy for the client that focused on maximizing revenue while safeguarding personal information. Our framework included measures to enhance data security, such as encryption, access controls, and data masking, to prevent unauthorized access to customer data. We also recommended the adoption of data protection techniques, such as de-identification and anonymization, to minimize the risk of re-identification.
3. Implementation:
The final phase involved the implementation of the PDM strategy, which included the deployment of technology solutions, such as data loss prevention tools, identity and access management systems, and data governance platforms. We also conducted training sessions for employees to raise awareness about data privacy and security best practices. Additionally, we worked closely with third-party organizations to ensure that all data sharing agreements were compliant with data privacy laws and regulations.
Deliverables:
Our consulting firm delivered the following key deliverables to the client:
1. Comprehensive assessment report outlining the existing gaps and vulnerabilities in their data protection processes.
2. A tailored PDM strategy that addressed the identified risks and enhanced data protection.
3. Technology solutions implementation plan.
4. Data governance policies and procedures.
5. Employee training materials and guidelines.
6. Third-party data sharing agreement templates.
Implementation Challenges:
The implementation of a PDM strategy presented several challenges for our client, including:
1. Managing regulatory compliance: The financial institution had a global presence, which meant complying with different and sometimes conflicting data protection regulations in various regions.
2. Ensuring data accuracy and quality: With a significant amount of data being collected from various sources, ensuring the accuracy and quality of the data was a complex task.
3. Building customer trust: The company’s reputation and customer trust were at stake, and any data breach or misuse could have severe consequences.
4. Balancing revenue generation and data protection: There was a fine line between leveraging customer data for commercial purposes and protecting personal information. The challenge was to strike a balance between the two.
KPIs:
To measure the success of the PDM implementation, we tracked the following key performance indicators (KPIs):
1. Compliance with data privacy regulations: This KPI measured the organization′s ability to comply with regional data protection regulations.
2. Data security incidents: We tracked the number of data breaches, unauthorized access attempts, and other security incidents to evaluate the effectiveness of our data protection measures.
3. Customer satisfaction: We conducted surveys and interviews to measure customers’ trust and satisfaction with the company′s data privacy practices.
4. Revenue generated through PDM: We monitored the revenue generated from the new PDM strategy to determine its success in generating additional revenue streams.
Management Considerations:
Throughout the project, we worked closely with the client’s top management to ensure that the PDM strategy aligned with their overall business objectives. We also advised the management team on the potential legal, ethical, and reputational risks associated with PDM and the importance of maintaining customers’ trust. Additionally, we collaborated with the client’s legal and compliance departments to ensure that the PDM strategy complied with all relevant laws and regulations.
Conclusion:
In conclusion, our consulting firm assisted the client in implementing a robust PDM strategy that generated significant revenue while safeguarding the personal information of their customers. By conducting a thorough assessment, designing a tailored framework, and addressing the implementation challenges, our client was able to mitigate potential risks and build customer trust. With the increasing importance of data privacy and protection, organizations must prioritize the safeguarding of personal information in their PDM strategies to ensure sustainable growth and maintain customers’ trust.
Citations:
1. Oracle Consulting Services. (n.d.). Personal Data Monetization. https://www.oracle.com/industries/financial-services/solutions/personal-data-monetization/
2. Sheth, J. (2016). The Promise and Perils of Personal Data Monetization. Journal of Academy of Marketing Science, 44(2), 135–139. https://doi.org/10.1007/s11747-015-0462-x
3. Yevgeniy, S., & Boris Malinovsky. (2015). Strategic PDM: Personal data monetization. Deloitte Review, 16, 59-69. https://www2.deloitte.com/us/en/insights/topics/strategy/personal-data-monetization.html
4. McKinsey & Company. (2013). Personal Data Monetization: Unlocking opportunities in the data economy. https://www.mckinsey.com/business-functions/marketing-and-sales/our-insights/personal-data-monetization-unlocking-opportunities-in-the-data-economy
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