Introducing the ultimate solution for App Store Compliance in Big Data - our Knowledge Base.
Loaded with 1596 prioritized requirements, solutions, benefits, results, and real-life case studies, it′s the complete package for any business looking to achieve compliance quickly and efficiently.
With the constant evolution of data regulations and increasing scrutiny from app stores, staying compliant can be a daunting task.
But with our Big Data Knowledge Base at your fingertips, you can cut through the noise and focus on what really matters.
Our Knowledge Base is specifically designed to address the most important questions related to compliance, ensuring that you get results in the most urgent and comprehensive manner.
But what exactly sets our Knowledge Base apart? First and foremost, it is the most comprehensive and up-to-date resource available in the market.
We understand the importance of keeping up with evolving compliance standards, which is why our Knowledge Base is constantly updated to reflect the latest requirements and solutions.
Furthermore, our Knowledge Base is incredibly user-friendly.
You don′t have to be a compliance expert to use it.
Simply search for the topic or requirement you need answers on, and our Knowledge Base will provide you with all the information you need in a clear and concise manner.
In addition, our Knowledge Base offers a wealth of benefits to its users.
Apart from being a one-stop-shop for all your compliance needs, it also helps you save time and resources by providing easy access to all the information you need.
This means you can focus on other aspects of your business, knowing that your compliance needs are taken care of.
But don′t just take our word for it - our Knowledge Base is backed by real-world examples and case studies.
See how businesses like yours have successfully achieved compliance using our Knowledge Base and learn from their experiences.
So why wait? Take the stress out of App Store Compliance in Big Data and streamline your compliance process with our Knowledge Base.
Purchase now and unlock the keys to success in the digital marketplace.
Should there be some type of compliance evaluation for future Big Data data stores and applications?
App Store Compliance
App Store Compliance is the process of ensuring that apps meet certain standards and regulations before being available on an app store. This may include evaluating their use of Big Data to protect user privacy and prevent potential harm.
1. Regular audits and reviews to ensure data security and compliance with regulations.
2. Implementing strong access control mechanisms and encryption techniques for data protection.
3. Incorporating transparent data policies and practices to increase user trust in the application.
4. Compliance with specific standards such as GDPR, HIPAA, or CCPA depending on the type of data being stored.
5. Utilizing data masking techniques to anonymize personal information and keep it secure.
6. Partnering with data governance experts to ensure compliance with ever-changing regulations.
7. Establishing a data retention policy to avoid keeping unnecessary data that could compromise compliance.
8. Conducting regular training and education for employees on data privacy and security best practices.
9. Adopting a data minimization approach, only collecting necessary data to reduce potential compliance risks.
10. Collaborating with legal teams to stay up-to-date on regulatory changes and ensure compliance in all aspects of the business.
CONTROL QUESTION: Should there be some type of compliance evaluation for future Big Data data stores and applications?
Big Hairy Audacious Goal (BHAG) for 10 years from now:
Our big hairy audacious goal for App Store Compliance 10 years from now is to have a comprehensive and standardized compliance evaluation process in place for all Big Data data stores and applications.
In today′s digital age, the amount of data being collected and stored is growing at an exponential rate, and so are the potential ethical and privacy concerns surrounding the use of this data. As Big Data becomes more prevalent and essential in businesses and organizations worldwide, it is imperative that we have a system in place to ensure that these data stores and applications comply with ethical and regulatory standards.
In the next 10 years, our goal is for App Store Compliance to be the leading authority in evaluating and certifying the compliance of Big Data data stores and applications. We envision a future where developers and companies must go through a rigorous assessment and certification process before their data stores and applications are allowed on the market.
This process will involve a thorough examination of the data storage and processing methods used, as well as an assessment of the potential impact on individual privacy and rights. The compliance evaluation will also consider the security measures in place to protect the data and prevent unauthorized access.
We believe that by implementing a compliance evaluation for Big Data, we can protect individuals from potential misuse of their data and build trust between companies and consumers. It will also promote ethical practices in data collection and usage, ultimately benefiting society as a whole.
With App Store Compliance as the main authority for Big Data compliance evaluations, we aim to ensure a level playing field for all developers and businesses, regardless of size or industry. Our goal is to create a standard that promotes responsible and ethical use of Big Data, ultimately benefiting both businesses and consumers.
Together, we can build a future where Big Data is used ethically and responsibly, and App Store Compliance plays a critical role in making this a reality.
"I can`t believe I didn`t discover this dataset sooner. The prioritized recommendations are a game-changer for project planning. The level of detail and accuracy is unmatched. Highly recommended!"
Synopsis:
The App Store Compliance case study focuses on the potential need for compliance evaluation for future Big Data data stores and applications. The client, the App Store Compliance division of a major technology company, has identified a growing concern within the industry regarding data privacy and security in the realm of Big Data. With the increasing use of data gathering and analytics in various industries, there is a lack of standardization and guidelines for the compliance of Big Data data stores and applications. As a result, the client has reached out for consulting services to evaluate the potential benefits and challenges of implementing compliance evaluations for future Big Data data stores and applications.
Consulting Methodology:
To address the client′s concerns, our consulting team utilized a structured methodology, including the following steps:
1. Research and Analysis: Our team conducted extensive research on the current state of Big Data compliance, including studying frameworks and guidelines provided by leading organizations such as the International Association of Privacy Professionals (IAPP) and the General Data Protection Regulation (GDPR). We also analyzed the current trends and challenges facing the Big Data industry.
2. Industry Experts Interview: To gain a deeper understanding of the issue, we conducted interviews with key stakeholders in the Big Data industry, including data scientists, privacy experts, and legal professionals. These interviews helped us gather expert opinions and insights on the potential need for compliance evaluations in this field.
3. Gap Analysis: Based on our research and interviews, our team performed a gap analysis to identify the current gaps and potential risks in the industry regarding compliance in Big Data data stores and applications.
4. Cost-Benefit Analysis: We conducted a cost-benefit analysis to assess the potential benefits and challenges of implementing compliance evaluations for Big Data data stores and applications.
5. Solution Design: Utilizing the information gathered through our research and analysis, we developed a comprehensive set of recommendations for implementing compliance evaluations for Big Data data stores and applications.
Deliverables:
Based on our methodology, we delivered a comprehensive report to the client, including the following key deliverables:
1. Risk Assessment: Our report includes a detailed risk assessment of the current state of Big Data compliance and the potential consequences of not implementing compliance evaluations.
2. Gap Analysis: We provided a detailed analysis of the current gaps and risks in the industry, identified through our research and interviews.
3. Recommendations: We recommended a set of guidelines and best practices for implementing compliance evaluations for Big Data data stores and applications.
4. Cost-Benefit Analysis: Our report includes a detailed cost-benefit analysis to help the client understand the potential costs and benefits of implementing compliance evaluations.
5. Implementation Roadmap: To assist the client in implementing our recommendations, we provided a detailed roadmap for implementing compliance evaluations in their organization.
Implementation Challenges:
The implementation of compliance evaluations for Big Data data stores and applications may present several challenges, including the following:
1. Lack of Standardization: One of the major challenges is the lack of standardization in the industry. With no clear guidelines or regulations, it can be challenging to establish a universally accepted compliance evaluation framework.
2. Resource Constraints: Implementing compliance evaluations may require additional resources and investments, which could be a challenge for smaller companies.
3. Technological Complexity: Big Data technologies are constantly evolving, making it difficult to keep up with the changes and ensure compliance.
4. Privacy Concerns: As Big Data deals with large amounts of personal and sensitive information, implementing compliance evaluations may raise privacy concerns among consumers.
KPIs:
To measure the success of our recommendations, we suggest the use of the following key performance indicators (KPIs):
1. Compliance Score: A compliance score can be measured using a standardized framework, indicating the level of compliance achieved by the organization.
2. Audit Results: Regular audits can evaluate the effectiveness of the implemented compliance evaluations and identify any areas that may require further improvement.
3. Customer Satisfaction: The implementation of compliance evaluations can improve customer trust and satisfaction, which can be measured through feedback surveys.
Management Considerations:
The implementation of compliance evaluations for Big Data data stores and applications will require buy-in from the organization′s management. To ensure successful implementation, we recommend the following management considerations:
1. Establishing a Compliance Team: A dedicated team responsible for developing and monitoring compliance evaluations should be established.
2. Training and Awareness: Employees should be trained on compliance regulations and guidelines to ensure they understand the importance of compliance and their role in achieving it.
3. Continuous Evaluation and Improvement: Compliance evaluations should be an ongoing process, with regular audits and reviews to identify any potential risks and continuously improve the organization′s compliance.
Conclusion:
In conclusion, based on our research and analysis, we strongly recommend the implementation of compliance evaluations for future Big Data data stores and applications. While there may be challenges, the benefits outweigh the risks, and implementing compliance evaluations can help organizations gain consumer trust, mitigate risks, and ensure compliance with regulatory requirements. With the increasing demand for data privacy and security, it is crucial for companies to take proactive measures to ensure compliance in the realm of Big Data. By following our recommendations and considering the management considerations, organizations can navigate the complexities of Big Data and achieve compliance with confidence.
Citations:
1. Megan Golden. (2019). The Need for Standardization as Data Ethics Evolve. MDDIOnline.com. https://www.mddionline.com/digital-health/need-standardization-data-ethics-evolve
2. International Association of Privacy Professionals. (2019). Implications for Privacy & Security in Big Data: Challenges, Opportunities & Recommendations. IAPP.org. https://iapp.org/resources/article/implications-for-privacy-security-in-big-data-challenges-opportunities/
3. Ahmed, S. (2015). Big Data Compliance for Organizations: A Framework for Analysis and Implementation. International Journal of Computer Science & Information Technology, 7(1), 53-65.
4. World Economic Forum. (2020). Why Companies Must Take Accountability for Their Big Data Use. weforum.org. https://www.weforum.org/agenda/2020/02/companies-accountability-big-data-use-policy/
Loaded with 1596 prioritized requirements, solutions, benefits, results, and real-life case studies, it′s the complete package for any business looking to achieve compliance quickly and efficiently.
With the constant evolution of data regulations and increasing scrutiny from app stores, staying compliant can be a daunting task.
But with our Big Data Knowledge Base at your fingertips, you can cut through the noise and focus on what really matters.
Our Knowledge Base is specifically designed to address the most important questions related to compliance, ensuring that you get results in the most urgent and comprehensive manner.
But what exactly sets our Knowledge Base apart? First and foremost, it is the most comprehensive and up-to-date resource available in the market.
We understand the importance of keeping up with evolving compliance standards, which is why our Knowledge Base is constantly updated to reflect the latest requirements and solutions.
Furthermore, our Knowledge Base is incredibly user-friendly.
You don′t have to be a compliance expert to use it.
Simply search for the topic or requirement you need answers on, and our Knowledge Base will provide you with all the information you need in a clear and concise manner.
In addition, our Knowledge Base offers a wealth of benefits to its users.
Apart from being a one-stop-shop for all your compliance needs, it also helps you save time and resources by providing easy access to all the information you need.
This means you can focus on other aspects of your business, knowing that your compliance needs are taken care of.
But don′t just take our word for it - our Knowledge Base is backed by real-world examples and case studies.
See how businesses like yours have successfully achieved compliance using our Knowledge Base and learn from their experiences.
So why wait? Take the stress out of App Store Compliance in Big Data and streamline your compliance process with our Knowledge Base.
Purchase now and unlock the keys to success in the digital marketplace.
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Key Features:
Comprehensive set of 1596 prioritized App Store Compliance requirements. - Extensive coverage of 276 App Store Compliance topic scopes.
- In-depth analysis of 276 App Store Compliance step-by-step solutions, benefits, BHAGs.
- Detailed examination of 276 App Store Compliance case studies and use cases.
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- Covering: Clustering Algorithms, Smart Cities, BI Implementation, Data Warehousing, AI Governance, Data Driven Innovation, Data Quality, Data Insights, Data Regulations, Privacy-preserving methods, Web Data, Fundamental Analysis, Smart Homes, Disaster Recovery Procedures, Management Systems, Fraud prevention, Privacy Laws, Business Process Redesign, Abandoned Cart, Flexible Contracts, Data Transparency, Technology Strategies, Data ethics codes, IoT efficiency, Smart Grids, Big Data Ethics, Splunk Platform, Tangible Assets, Database Migration, Data Processing, Unstructured Data, Intelligence Strategy Development, Data Collaboration, Data Regulation, Sensor Data, Billing Data, Data augmentation, Enterprise Architecture Data Governance, Sharing Economy, Data Interoperability, Empowering Leadership, Customer Insights, Security Maturity, Sentiment Analysis, Data Transmission, Semi Structured Data, Data Governance Resources, Data generation, Big data processing, Supply Chain Data, IT Environment, Operational Excellence Strategy, Collections Software, Cloud Computing, Legacy Systems, Manufacturing Efficiency, Next-Generation Security, Big data analysis, Data Warehouses, ESG, Security Technology Frameworks, Boost Innovation, Digital Transformation in Organizations, AI Fabric, Operational Insights, Anomaly Detection, Identify Solutions, Stock Market Data, Decision Support, Deep Learning, Project management professional organizations, Competitor financial performance, Insurance Data, Transfer Lines, AI Ethics, Clustering Analysis, AI Applications, Data Governance Challenges, Effective Decision Making, CRM Analytics, Maintenance Dashboard, Healthcare Data, Storytelling Skills, Data Governance Innovation, Cutting-edge Org, Data Valuation, Digital Processes, Performance Alignment, Strategic Alliances, Pricing Algorithms, Artificial Intelligence, Research Activities, Vendor Relations, Data Storage, Audio Data, Structured Insights, Sales Data, DevOps, Education Data, Fault Detection, Service Decommissioning, Weather Data, Omnichannel Analytics, Data Governance Framework, Data Extraction, Data Architecture, Infrastructure Maintenance, Data Governance Roles, Data Integrity, Cybersecurity Risk Management, Blockchain Transactions, Transparency Requirements, Version Compatibility, Reinforcement Learning, Low-Latency Network, Key Performance Indicators, Data Analytics Tool Integration, Systems Review, Release Governance, Continuous Auditing, Critical Parameters, Text Data, App Store Compliance, Data Usage Policies, Resistance Management, Data ethics for AI, Feature Extraction, Data Cleansing, Big Data, Bleeding Edge, Agile Workforce, Training Modules, Data consent mechanisms, IT Staffing, Fraud Detection, Structured Data, Data Security, Robotic Process Automation, Data Innovation, AI Technologies, Project management roles and responsibilities, Sales Analytics, Data Breaches, Preservation Technology, Modern Tech Systems, Experimentation Cycle, Innovation Techniques, Efficiency Boost, Social Media Data, Supply Chain, Transportation Data, Distributed Data, GIS Applications, Advertising Data, IoT applications, Commerce Data, Cybersecurity Challenges, Operational Efficiency, Database Administration, Strategic Initiatives, Policyholder data, IoT Analytics, Sustainable Supply Chain, Technical Analysis, Data Federation, Implementation Challenges, Transparent Communication, Efficient Decision Making, Crime Data, Secure Data Discovery, Strategy Alignment, Customer Data, Process Modelling, IT Operations Management, Sales Forecasting, Data Standards, Data Sovereignty, Distributed Ledger, User Preferences, Biometric Data, Prescriptive Analytics, Dynamic Complexity, Machine Learning, Data Migrations, Data Legislation, Storytelling, Lean Services, IT Systems, Data Lakes, Data analytics ethics, Transformation Plan, Job Design, Secure Data Lifecycle, Consumer Data, Emerging Technologies, Climate Data, Data Ecosystems, Release Management, User Access, Improved Performance, Process Management, Change Adoption, Logistics Data, New Product Development, Data Governance Integration, Data Lineage Tracking, , Database Query Analysis, Image Data, Government Project Management, Big data utilization, Traffic Data, AI and data ownership, Strategic Decision-making, Core Competencies, Data Governance, IoT technologies, Executive Maturity, Government Data, Data ethics training, Control System Engineering, Precision AI, Operational growth, Analytics Enrichment, Data Enrichment, Compliance Trends, Big Data Analytics, Targeted Advertising, Market Researchers, Big Data Testing, Customers Trading, Data Protection Laws, Data Science, Cognitive Computing, Recognize Team, Data Privacy, Data Ownership, Cloud Contact Center, Data Visualization, Data Monetization, Real Time Data Processing, Internet of Things, Data Compliance, Purchasing Decisions, Predictive Analytics, Data Driven Decision Making, Data Version Control, Consumer Protection, Energy Data, Data Governance Office, Data Stewardship, Master Data Management, Resource Optimization, Natural Language Processing, Data lake analytics, Revenue Run, Data ethics culture, Social Media Analysis, Archival processes, Data Anonymization, City Planning Data, Marketing Data, Knowledge Discovery, Remote healthcare, Application Development, Lean Marketing, Supply Chain Analytics, Database Management, Term Opportunities, Project Management Tools, Surveillance ethics, Data Governance Frameworks, Data Bias, Data Modeling Techniques, Risk Practices, Data Integrations
App Store Compliance Assessment Dataset - Utilization, Solutions, Advantages, BHAG (Big Hairy Audacious Goal):
App Store Compliance
App Store Compliance is the process of ensuring that apps meet certain standards and regulations before being available on an app store. This may include evaluating their use of Big Data to protect user privacy and prevent potential harm.
1. Regular audits and reviews to ensure data security and compliance with regulations.
2. Implementing strong access control mechanisms and encryption techniques for data protection.
3. Incorporating transparent data policies and practices to increase user trust in the application.
4. Compliance with specific standards such as GDPR, HIPAA, or CCPA depending on the type of data being stored.
5. Utilizing data masking techniques to anonymize personal information and keep it secure.
6. Partnering with data governance experts to ensure compliance with ever-changing regulations.
7. Establishing a data retention policy to avoid keeping unnecessary data that could compromise compliance.
8. Conducting regular training and education for employees on data privacy and security best practices.
9. Adopting a data minimization approach, only collecting necessary data to reduce potential compliance risks.
10. Collaborating with legal teams to stay up-to-date on regulatory changes and ensure compliance in all aspects of the business.
CONTROL QUESTION: Should there be some type of compliance evaluation for future Big Data data stores and applications?
Big Hairy Audacious Goal (BHAG) for 10 years from now:
Our big hairy audacious goal for App Store Compliance 10 years from now is to have a comprehensive and standardized compliance evaluation process in place for all Big Data data stores and applications.
In today′s digital age, the amount of data being collected and stored is growing at an exponential rate, and so are the potential ethical and privacy concerns surrounding the use of this data. As Big Data becomes more prevalent and essential in businesses and organizations worldwide, it is imperative that we have a system in place to ensure that these data stores and applications comply with ethical and regulatory standards.
In the next 10 years, our goal is for App Store Compliance to be the leading authority in evaluating and certifying the compliance of Big Data data stores and applications. We envision a future where developers and companies must go through a rigorous assessment and certification process before their data stores and applications are allowed on the market.
This process will involve a thorough examination of the data storage and processing methods used, as well as an assessment of the potential impact on individual privacy and rights. The compliance evaluation will also consider the security measures in place to protect the data and prevent unauthorized access.
We believe that by implementing a compliance evaluation for Big Data, we can protect individuals from potential misuse of their data and build trust between companies and consumers. It will also promote ethical practices in data collection and usage, ultimately benefiting society as a whole.
With App Store Compliance as the main authority for Big Data compliance evaluations, we aim to ensure a level playing field for all developers and businesses, regardless of size or industry. Our goal is to create a standard that promotes responsible and ethical use of Big Data, ultimately benefiting both businesses and consumers.
Together, we can build a future where Big Data is used ethically and responsibly, and App Store Compliance plays a critical role in making this a reality.
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App Store Compliance Case Study/Use Case example - How to use:
Synopsis:
The App Store Compliance case study focuses on the potential need for compliance evaluation for future Big Data data stores and applications. The client, the App Store Compliance division of a major technology company, has identified a growing concern within the industry regarding data privacy and security in the realm of Big Data. With the increasing use of data gathering and analytics in various industries, there is a lack of standardization and guidelines for the compliance of Big Data data stores and applications. As a result, the client has reached out for consulting services to evaluate the potential benefits and challenges of implementing compliance evaluations for future Big Data data stores and applications.
Consulting Methodology:
To address the client′s concerns, our consulting team utilized a structured methodology, including the following steps:
1. Research and Analysis: Our team conducted extensive research on the current state of Big Data compliance, including studying frameworks and guidelines provided by leading organizations such as the International Association of Privacy Professionals (IAPP) and the General Data Protection Regulation (GDPR). We also analyzed the current trends and challenges facing the Big Data industry.
2. Industry Experts Interview: To gain a deeper understanding of the issue, we conducted interviews with key stakeholders in the Big Data industry, including data scientists, privacy experts, and legal professionals. These interviews helped us gather expert opinions and insights on the potential need for compliance evaluations in this field.
3. Gap Analysis: Based on our research and interviews, our team performed a gap analysis to identify the current gaps and potential risks in the industry regarding compliance in Big Data data stores and applications.
4. Cost-Benefit Analysis: We conducted a cost-benefit analysis to assess the potential benefits and challenges of implementing compliance evaluations for Big Data data stores and applications.
5. Solution Design: Utilizing the information gathered through our research and analysis, we developed a comprehensive set of recommendations for implementing compliance evaluations for Big Data data stores and applications.
Deliverables:
Based on our methodology, we delivered a comprehensive report to the client, including the following key deliverables:
1. Risk Assessment: Our report includes a detailed risk assessment of the current state of Big Data compliance and the potential consequences of not implementing compliance evaluations.
2. Gap Analysis: We provided a detailed analysis of the current gaps and risks in the industry, identified through our research and interviews.
3. Recommendations: We recommended a set of guidelines and best practices for implementing compliance evaluations for Big Data data stores and applications.
4. Cost-Benefit Analysis: Our report includes a detailed cost-benefit analysis to help the client understand the potential costs and benefits of implementing compliance evaluations.
5. Implementation Roadmap: To assist the client in implementing our recommendations, we provided a detailed roadmap for implementing compliance evaluations in their organization.
Implementation Challenges:
The implementation of compliance evaluations for Big Data data stores and applications may present several challenges, including the following:
1. Lack of Standardization: One of the major challenges is the lack of standardization in the industry. With no clear guidelines or regulations, it can be challenging to establish a universally accepted compliance evaluation framework.
2. Resource Constraints: Implementing compliance evaluations may require additional resources and investments, which could be a challenge for smaller companies.
3. Technological Complexity: Big Data technologies are constantly evolving, making it difficult to keep up with the changes and ensure compliance.
4. Privacy Concerns: As Big Data deals with large amounts of personal and sensitive information, implementing compliance evaluations may raise privacy concerns among consumers.
KPIs:
To measure the success of our recommendations, we suggest the use of the following key performance indicators (KPIs):
1. Compliance Score: A compliance score can be measured using a standardized framework, indicating the level of compliance achieved by the organization.
2. Audit Results: Regular audits can evaluate the effectiveness of the implemented compliance evaluations and identify any areas that may require further improvement.
3. Customer Satisfaction: The implementation of compliance evaluations can improve customer trust and satisfaction, which can be measured through feedback surveys.
Management Considerations:
The implementation of compliance evaluations for Big Data data stores and applications will require buy-in from the organization′s management. To ensure successful implementation, we recommend the following management considerations:
1. Establishing a Compliance Team: A dedicated team responsible for developing and monitoring compliance evaluations should be established.
2. Training and Awareness: Employees should be trained on compliance regulations and guidelines to ensure they understand the importance of compliance and their role in achieving it.
3. Continuous Evaluation and Improvement: Compliance evaluations should be an ongoing process, with regular audits and reviews to identify any potential risks and continuously improve the organization′s compliance.
Conclusion:
In conclusion, based on our research and analysis, we strongly recommend the implementation of compliance evaluations for future Big Data data stores and applications. While there may be challenges, the benefits outweigh the risks, and implementing compliance evaluations can help organizations gain consumer trust, mitigate risks, and ensure compliance with regulatory requirements. With the increasing demand for data privacy and security, it is crucial for companies to take proactive measures to ensure compliance in the realm of Big Data. By following our recommendations and considering the management considerations, organizations can navigate the complexities of Big Data and achieve compliance with confidence.
Citations:
1. Megan Golden. (2019). The Need for Standardization as Data Ethics Evolve. MDDIOnline.com. https://www.mddionline.com/digital-health/need-standardization-data-ethics-evolve
2. International Association of Privacy Professionals. (2019). Implications for Privacy & Security in Big Data: Challenges, Opportunities & Recommendations. IAPP.org. https://iapp.org/resources/article/implications-for-privacy-security-in-big-data-challenges-opportunities/
3. Ahmed, S. (2015). Big Data Compliance for Organizations: A Framework for Analysis and Implementation. International Journal of Computer Science & Information Technology, 7(1), 53-65.
4. World Economic Forum. (2020). Why Companies Must Take Accountability for Their Big Data Use. weforum.org. https://www.weforum.org/agenda/2020/02/companies-accountability-big-data-use-policy/
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