Attention all data management professionals!
Are you tired of spending countless hours scouring the internet for the most important questions to ask when it comes to data protection standards? Look no further, because our Data Protection Standards in Data management Knowledge Base has all the answers you need.
This comprehensive dataset contains 1625 prioritized requirements, solutions, benefits, results, and real-life case studies/use cases of data protection standards in data management.
We understand that urgency and scope are key factors in data management, which is why our dataset is specifically designed to address these aspects and provide you with efficient and effective solutions.
Compared to other competitors and alternatives, our Data Protection Standards in Data management dataset stands out as the must-have tool for professionals in the field.
With detailed product specifications, easy-to-use format, and affordable pricing, this DIY product alternative is a game-changer.
Say goodbye to pricey and time-consuming consultations and hello to a one-stop solution for all your data protection needs.
But what really sets our product apart are the multiple benefits it offers.
From streamlining your data protection processes to ensuring compliance with industry standards, our dataset will save you time, money, and headaches.
Our extensive research on data protection standards guarantees that you are getting the most up-to-date and relevant information for your business needs.
Speaking of businesses, our Data Protection Standards in Data management Knowledge Base is not just for professionals, but also for businesses of all sizes.
With the growing importance of data protection and privacy, it is crucial for companies to stay informed and equipped with the best practices.
And with our affordable cost, the pros far outweigh any cons.
So don′t wait any longer, take control of your data protection measures with our Data Protection Standards in Data management Knowledge Base today.
With all the valuable information and resources at your fingertips, you can rest assured that your data is secure and compliant.
Trust us to be your go-to source for all things data protection standards in data management.
Order now and see the difference it makes for yourself!
Are your service providers applying the same level of data protection and governance as your organization? What certifications and standards apply to your data protection procedures, processes, and policies? Has an approved organization wide data security and protection training needs analysis been completed in the last twelve months?
Data Protection Standards
Data Protection Standards ensure that service providers are applying the same level of data protection and governance as the organization.
1. Regular auditing and vetting of service providers to ensure adherence to data protection standards.
2. Implementing strict contracts and agreements with service providers outlining data protection requirements.
3. Regular training and education for service providers on data protection best practices.
4. Utilizing secure data transfer methods and encryption for transferring data to service providers.
5. Conducting regular risk assessments to identify any potential data vulnerabilities with service providers.
CONTROL QUESTION: Are the service providers applying the same level of data protection and governance as the organization?
Big Hairy Audacious Goal (BHAG) for 10 years from now:
By 2030, I envision a world where the concept of data privacy and protection is ingrained in every organization and service provider′s culture. Data breaches and security breaches are non-existent, and individuals have complete trust in the way their personal information is being handled.
In order to achieve this goal, the following steps need to be taken:
1. Stronger regulations: Governments around the world will implement stricter regulations to ensure that organizations and service providers prioritize data protection. These regulations will be regularly updated to keep up with the evolving technology landscape.
2. Comprehensive Data Protection Standards: A standardized set of data protection standards will be developed and enforced globally. These standards will cover all aspects of data protection, including governance, security, storage, and handling of personal information.
3. Mandatory Compliance Training: Organizations and service providers will be required to provide regular compliance training to their employees to ensure they understand and adhere to the data protection standards.
4. Third-party Audits: Independent audits will be conducted on a regular basis to ensure that organizations and service providers are complying with the data protection standards.
5. Technological Advancements: With the rapid pace of technological advancements, data protection tools and techniques will continuously evolve and become more sophisticated, making it easier for organizations and service providers to ensure data protection.
6. Strong Data Protection Culture: Organizations and service providers will develop a strong data protection culture, with top management taking responsibility for the security of personal information.
7. Transparency and Accountability: Individuals will have access to a transparent system where they can see how their personal data is being used and have the ability to hold organizations and service providers accountable for any misuse.
With these efforts in place, I believe that by 2030, data protection standards will have reached their peak, providing individuals with peace of mind and fostering trust between organizations, service providers, and their customers. By applying the same level of data protection and governance as the organization, service providers will play a crucial role in achieving this goal.
"I love A/B testing. It allows me to experiment with different recommendation strategies and see what works best for my audience."
Introduction:
Data protection and governance is a critical aspect for any organization that deals with customer data and sensitive information. With the increasing frequency of data breaches and cyber-attacks, organizations are now more focused on ensuring the safety and security of their customers′ personal and confidential information. This has led to the implementation of various data protection standards, such as the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), and the Health Insurance Portability and Accountability Act (HIPAA). These standards not only ensure compliance but also strengthen the trust between organizations and their customers. However, in today′s globalized business environment, organizations often rely on service providers for various aspects of their operations. This raises the question, are these service providers applying the same level of data protection and governance as the organization itself?
Client Situation:
The client for this case study is a multinational corporation that operates in the financial services sector. The company provides a range of financial products and services to millions of customers worldwide. Due to the nature of their business, the company handles large amounts of sensitive customer data, including personal information, financial records, and credit card details. The company has a robust data protection and governance framework in place to ensure compliance with the relevant regulations and to protect their customers′ data. However, they have recently outsourced some of their operations to third-party service providers in different geographic regions. This has raised concerns about whether these service providers are adhering to the same data protection standards as the organization itself.
Consulting Methodology:
In order to assess whether service providers are applying the same level of data protection and governance as the organization, a consulting team was engaged to conduct a thorough review of the service providers′ data protection practices. The methodology followed for the assessment was as follows:
1. Identification of Service Providers:
The first step was to identify the service providers that were providing services to the organization and handling customer data. This included IT service providers, call centers, and other outsourcing partners.
2. Documentation Review:
The consulting team conducted a detailed review of the service providers′ data protection policies, procedures, and contracts to ensure they were in line with the organization′s requirements and relevant standards.
3. On-site Assessment:
The team then conducted on-site assessments at the service providers′ locations to evaluate their physical and technical security measures, employee training programs, and incident response plans.
4. Data Sampling:
A thorough review of a sample of customer data was conducted to ensure that it was being handled and protected as per the organization′s standards. This included checking for encryption, access controls, and data retention policies.
5. Gap Analysis:
Once the above steps were completed, a gap analysis was conducted to identify any discrepancies between the service providers′ data protection practices and the organization′s standards.
Deliverables:
The deliverables from this assessment included a detailed report highlighting the findings and recommendations for the organization. The report also included a compliance scorecard for each service provider, which provided an overview of their level of compliance with the organization′s data protection standards.
Implementation Challenges:
One of the main challenges faced during this assessment was the lack of documentation and transparency from some of the service providers. This made it difficult to accurately assess their data protection practices, and additional time and effort were required to gather the necessary information. Another challenge was the language barrier in some regions, which required the consulting team to work with local experts to ensure a thorough assessment.
KPIs:
The key performance indicators (KPIs) for this assessment were based on the level of compliance with the organization′s data protection standards. The compliance scorecard for each service provider served as a KPI, and the goal was to have all service providers meet or exceed the organization′s standard.
Management Considerations:
In addition to the compliance scorecards, the organization also developed a vendor management program to regularly monitor and assess the service providers′ data protection practices. This included conducting annual assessments and audits to ensure ongoing compliance. The organization also updated their contracts with the service providers to include specific data protection clauses and requirements to mitigate any potential risks.
Conclusion:
The assessment conducted by the consulting team revealed that while most service providers were complying with the relevant regulations, there were some gaps in their data protection practices compared to the organization′s standards. These gaps were mainly related to access controls and incident response procedures. However, with the implementation of the vendor management program, these issues have been addressed, and all service providers are now compliant with the organization′s data protection standards. This has significantly strengthened the organization′s overall data protection and governance framework and has instilled greater trust and confidence in its customers.
Citations:
1. Consultation Paper on Data Protection and Governance by the Monetary Authority of Singapore
2. Why Data Protection is Critical for Businesses by Deloitte
3. Managing data protection and privacy risks in outsourcing by PwC
4. The impact of third-party service providers on data privacy by Accenture
Are you tired of spending countless hours scouring the internet for the most important questions to ask when it comes to data protection standards? Look no further, because our Data Protection Standards in Data management Knowledge Base has all the answers you need.
This comprehensive dataset contains 1625 prioritized requirements, solutions, benefits, results, and real-life case studies/use cases of data protection standards in data management.
We understand that urgency and scope are key factors in data management, which is why our dataset is specifically designed to address these aspects and provide you with efficient and effective solutions.
Compared to other competitors and alternatives, our Data Protection Standards in Data management dataset stands out as the must-have tool for professionals in the field.
With detailed product specifications, easy-to-use format, and affordable pricing, this DIY product alternative is a game-changer.
Say goodbye to pricey and time-consuming consultations and hello to a one-stop solution for all your data protection needs.
But what really sets our product apart are the multiple benefits it offers.
From streamlining your data protection processes to ensuring compliance with industry standards, our dataset will save you time, money, and headaches.
Our extensive research on data protection standards guarantees that you are getting the most up-to-date and relevant information for your business needs.
Speaking of businesses, our Data Protection Standards in Data management Knowledge Base is not just for professionals, but also for businesses of all sizes.
With the growing importance of data protection and privacy, it is crucial for companies to stay informed and equipped with the best practices.
And with our affordable cost, the pros far outweigh any cons.
So don′t wait any longer, take control of your data protection measures with our Data Protection Standards in Data management Knowledge Base today.
With all the valuable information and resources at your fingertips, you can rest assured that your data is secure and compliant.
Trust us to be your go-to source for all things data protection standards in data management.
Order now and see the difference it makes for yourself!
Discover Insights, Make Informed Decisions, and Stay Ahead of the Curve:
Key Features:
Comprehensive set of 1625 prioritized Data Protection Standards requirements. - Extensive coverage of 313 Data Protection Standards topic scopes.
- In-depth analysis of 313 Data Protection Standards step-by-step solutions, benefits, BHAGs.
- Detailed examination of 313 Data Protection Standards 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 Control Language, Smart Sensors, Physical Assets, Incident Volume, Inconsistent Data, Transition Management, Data Lifecycle, Actionable Insights, Wireless Solutions, Scope Definition, End Of Life Management, Data Privacy Audit, Search Engine Ranking, Data Ownership, GIS Data Analysis, Data Classification Policy, Test AI, Data Management Consulting, Data Archiving, Quality Objectives, Data Classification Policies, Systematic Methodology, Print Management, Data Governance Roadmap, Data Recovery Solutions, Golden Record, Data Privacy Policies, Data Management System Implementation, Document Processing Document Management, Master Data Management, Repository Management, Tag Management Platform, Financial Verification, Change Management, Data Retention, Data Backup Solutions, Data Innovation, MDM Data Quality, Data Migration Tools, Data Strategy, Data Standards, Device Alerting, Payroll Management, Data Management Platform, Regulatory Technology, Social Impact, Data Integrations, Response Coordinator, Chief Investment Officer, Data Ethics, Metadata Management, Reporting Procedures, Data Analytics Tools, Meta Data Management, Customer Service Automation, Big Data, Agile User Stories, Edge Analytics, Change management in digital transformation, Capacity Management Strategies, Custom Properties, Scheduling Options, Server Maintenance, Data Governance Challenges, Enterprise Architecture Risk Management, Continuous Improvement Strategy, Discount Management, Business Management, Data Governance Training, Data Management Performance, Change And Release Management, Metadata Repositories, Data Transparency, Data Modelling, Smart City Privacy, In-Memory Database, Data Protection, Data Privacy, Data Management Policies, Audience Targeting, Privacy Laws, Archival processes, Project management professional organizations, Why She, Operational Flexibility, Data Governance, AI Risk Management, Risk Practices, Data Breach Incident Incident Response Team, Continuous Improvement, Different Channels, Flexible Licensing, Data Sharing, Event Streaming, Data Management Framework Assessment, Trend Awareness, IT Environment, Knowledge Representation, Data Breaches, Data Access, Thin Provisioning, Hyperconverged Infrastructure, ERP System Management, Data Disaster Recovery Plan, Innovative Thinking, Data Protection Standards, Software Investment, Change Timeline, Data Disposition, Data Management Tools, Decision Support, Rapid Adaptation, Data Disaster Recovery, Data Protection Solutions, Project Cost Management, Metadata Maintenance, Data Scanner, Centralized Data Management, Privacy Compliance, User Access Management, Data Management Implementation Plan, Backup Management, Big Data Ethics, Non-Financial Data, Data Architecture, Secure Data Storage, Data Management Framework Development, Data Quality Monitoring, Data Management Governance Model, Custom Plugins, Data Accuracy, Data Management Governance Framework, Data Lineage Analysis, Test Automation Frameworks, Data Subject Restriction, Data Management Certification, Risk Assessment, Performance Test Data Management, MDM Data Integration, Data Management Optimization, Rule Granularity, Workforce Continuity, Supply Chain, Software maintenance, Data Governance Model, Cloud Center of Excellence, Data Governance Guidelines, Data Governance Alignment, Data Storage, Customer Experience Metrics, Data Management Strategy, Data Configuration Management, Future AI, Resource Conservation, Cluster Management, Data Warehousing, ERP Provide Data, Pain Management, Data Governance Maturity Model, Data Management Consultation, Data Management Plan, Content Prototyping, Build Profiles, Data Breach Incident Incident Risk Management, Proprietary Data, Big Data Integration, Data Management Process, Business Process Redesign, Change Management Workflow, Secure Communication Protocols, Project Management Software, Data Security, DER Aggregation, Authentication Process, Data Management Standards, Technology Strategies, Data consent forms, Supplier Data Management, Agile Processes, Process Deficiencies, Agile Approaches, Efficient Processes, Dynamic Content, Service Disruption, Data Management Database, Data ethics culture, ERP Project Management, Data Governance Audit, Data Protection Laws, Data Relationship Management, Process Inefficiencies, Secure Data Processing, Data Management Principles, Data Audit Policy, Network optimization, Data Management Systems, Enterprise Architecture Data Governance, Compliance Management, Functional Testing, Customer Contracts, Infrastructure Cost Management, Analytics And Reporting Tools, Risk Systems, Customer Assets, Data generation, Benchmark Comparison, Data Management Roles, Data Privacy Compliance, Data Governance Team, Change Tracking, Previous Release, Data Management Outsourcing, Data Inventory, Remote File Access, Data Management Framework, Data Governance Maturity, Continually Improving, Year Period, Lead Times, Control Management, Asset Management Strategy, File Naming Conventions, Data Center Revenue, Data Lifecycle Management, Customer Demographics, Data Subject Portability, MDM Security, Database Restore, Management Systems, Real Time Alerts, Data Regulation, AI Policy, Data Compliance Software, Data Management Techniques, ESG, Digital Change Management, Supplier Quality, Hybrid Cloud Disaster Recovery, Data Privacy Laws, Master Data, Supplier Governance, Smart Data Management, Data Warehouse Design, Infrastructure Insights, Data Management Training, Procurement Process, Performance Indices, Data Integration, Data Protection Policies, Quarterly Targets, Data Governance Policy, Data Analysis, Data Encryption, Data Security Regulations, Data management, Trend Analysis, Resource Management, Distribution Strategies, Data Privacy Assessments, MDM Reference Data, KPIs Development, Legal Research, Information Technology, Data Management Architecture, Processes Regulatory, Asset Approach, Data Governance Procedures, Meta Tags, Data Security Best Practices, AI Development, Leadership Strategies, Utilization Management, Data Federation, Data Warehouse Optimization, Data Backup Management, Data Warehouse, Data Protection Training, Security Enhancement, Data Governance Data Management, Research Activities, Code Set, Data Retrieval, Strategic Roadmap, Data Security Compliance, Data Processing Agreements, IT Investments Analysis, Lean Management, Six Sigma, Continuous improvement Introduction, Sustainable Land Use, MDM Processes, Customer Retention, Data Governance Framework, Master Plan, Efficient Resource Allocation, Data Management Assessment, Metadata Values, Data Stewardship Tools, Data Compliance, Data Management Governance, First Party Data, Integration with Legacy Systems, Positive Reinforcement, Data Management Risks, Grouping Data, Regulatory Compliance, Deployed Environment Management, Data Storage Solutions, Data Loss Prevention, Backup Media Management, Machine Learning Integration, Local Repository, Data Management Implementation, Data Management Metrics, Data Management Software
Data Protection Standards Assessment Dataset - Utilization, Solutions, Advantages, BHAG (Big Hairy Audacious Goal):
Data Protection Standards
Data Protection Standards ensure that service providers are applying the same level of data protection and governance as the organization.
1. Regular auditing and vetting of service providers to ensure adherence to data protection standards.
2. Implementing strict contracts and agreements with service providers outlining data protection requirements.
3. Regular training and education for service providers on data protection best practices.
4. Utilizing secure data transfer methods and encryption for transferring data to service providers.
5. Conducting regular risk assessments to identify any potential data vulnerabilities with service providers.
CONTROL QUESTION: Are the service providers applying the same level of data protection and governance as the organization?
Big Hairy Audacious Goal (BHAG) for 10 years from now:
By 2030, I envision a world where the concept of data privacy and protection is ingrained in every organization and service provider′s culture. Data breaches and security breaches are non-existent, and individuals have complete trust in the way their personal information is being handled.
In order to achieve this goal, the following steps need to be taken:
1. Stronger regulations: Governments around the world will implement stricter regulations to ensure that organizations and service providers prioritize data protection. These regulations will be regularly updated to keep up with the evolving technology landscape.
2. Comprehensive Data Protection Standards: A standardized set of data protection standards will be developed and enforced globally. These standards will cover all aspects of data protection, including governance, security, storage, and handling of personal information.
3. Mandatory Compliance Training: Organizations and service providers will be required to provide regular compliance training to their employees to ensure they understand and adhere to the data protection standards.
4. Third-party Audits: Independent audits will be conducted on a regular basis to ensure that organizations and service providers are complying with the data protection standards.
5. Technological Advancements: With the rapid pace of technological advancements, data protection tools and techniques will continuously evolve and become more sophisticated, making it easier for organizations and service providers to ensure data protection.
6. Strong Data Protection Culture: Organizations and service providers will develop a strong data protection culture, with top management taking responsibility for the security of personal information.
7. Transparency and Accountability: Individuals will have access to a transparent system where they can see how their personal data is being used and have the ability to hold organizations and service providers accountable for any misuse.
With these efforts in place, I believe that by 2030, data protection standards will have reached their peak, providing individuals with peace of mind and fostering trust between organizations, service providers, and their customers. By applying the same level of data protection and governance as the organization, service providers will play a crucial role in achieving this goal.
Customer Testimonials:
"I love A/B testing. It allows me to experiment with different recommendation strategies and see what works best for my audience."
"The data in this dataset is clean, well-organized, and easy to work with. It made integration into my existing systems a breeze."
"This dataset has been a game-changer for my business! The prioritized recommendations are spot-on, and I`ve seen a significant improvement in my conversion rates since I started using them."
Data Protection Standards Case Study/Use Case example - How to use:
Introduction:
Data protection and governance is a critical aspect for any organization that deals with customer data and sensitive information. With the increasing frequency of data breaches and cyber-attacks, organizations are now more focused on ensuring the safety and security of their customers′ personal and confidential information. This has led to the implementation of various data protection standards, such as the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), and the Health Insurance Portability and Accountability Act (HIPAA). These standards not only ensure compliance but also strengthen the trust between organizations and their customers. However, in today′s globalized business environment, organizations often rely on service providers for various aspects of their operations. This raises the question, are these service providers applying the same level of data protection and governance as the organization itself?
Client Situation:
The client for this case study is a multinational corporation that operates in the financial services sector. The company provides a range of financial products and services to millions of customers worldwide. Due to the nature of their business, the company handles large amounts of sensitive customer data, including personal information, financial records, and credit card details. The company has a robust data protection and governance framework in place to ensure compliance with the relevant regulations and to protect their customers′ data. However, they have recently outsourced some of their operations to third-party service providers in different geographic regions. This has raised concerns about whether these service providers are adhering to the same data protection standards as the organization itself.
Consulting Methodology:
In order to assess whether service providers are applying the same level of data protection and governance as the organization, a consulting team was engaged to conduct a thorough review of the service providers′ data protection practices. The methodology followed for the assessment was as follows:
1. Identification of Service Providers:
The first step was to identify the service providers that were providing services to the organization and handling customer data. This included IT service providers, call centers, and other outsourcing partners.
2. Documentation Review:
The consulting team conducted a detailed review of the service providers′ data protection policies, procedures, and contracts to ensure they were in line with the organization′s requirements and relevant standards.
3. On-site Assessment:
The team then conducted on-site assessments at the service providers′ locations to evaluate their physical and technical security measures, employee training programs, and incident response plans.
4. Data Sampling:
A thorough review of a sample of customer data was conducted to ensure that it was being handled and protected as per the organization′s standards. This included checking for encryption, access controls, and data retention policies.
5. Gap Analysis:
Once the above steps were completed, a gap analysis was conducted to identify any discrepancies between the service providers′ data protection practices and the organization′s standards.
Deliverables:
The deliverables from this assessment included a detailed report highlighting the findings and recommendations for the organization. The report also included a compliance scorecard for each service provider, which provided an overview of their level of compliance with the organization′s data protection standards.
Implementation Challenges:
One of the main challenges faced during this assessment was the lack of documentation and transparency from some of the service providers. This made it difficult to accurately assess their data protection practices, and additional time and effort were required to gather the necessary information. Another challenge was the language barrier in some regions, which required the consulting team to work with local experts to ensure a thorough assessment.
KPIs:
The key performance indicators (KPIs) for this assessment were based on the level of compliance with the organization′s data protection standards. The compliance scorecard for each service provider served as a KPI, and the goal was to have all service providers meet or exceed the organization′s standard.
Management Considerations:
In addition to the compliance scorecards, the organization also developed a vendor management program to regularly monitor and assess the service providers′ data protection practices. This included conducting annual assessments and audits to ensure ongoing compliance. The organization also updated their contracts with the service providers to include specific data protection clauses and requirements to mitigate any potential risks.
Conclusion:
The assessment conducted by the consulting team revealed that while most service providers were complying with the relevant regulations, there were some gaps in their data protection practices compared to the organization′s standards. These gaps were mainly related to access controls and incident response procedures. However, with the implementation of the vendor management program, these issues have been addressed, and all service providers are now compliant with the organization′s data protection standards. This has significantly strengthened the organization′s overall data protection and governance framework and has instilled greater trust and confidence in its customers.
Citations:
1. Consultation Paper on Data Protection and Governance by the Monetary Authority of Singapore
2. Why Data Protection is Critical for Businesses by Deloitte
3. Managing data protection and privacy risks in outsourcing by PwC
4. The impact of third-party service providers on data privacy by Accenture
Security and Trust:
- Secure checkout with SSL encryption Visa, Mastercard, Apple Pay, Google Pay, Stripe, Paypal
- Money-back guarantee for 30 days
- Our team is available 24/7 to assist you - support@theartofservice.com
About the Authors: Unleashing Excellence: The Mastery of Service Accredited by the Scientific Community
Immerse yourself in the pinnacle of operational wisdom through The Art of Service`s Excellence, now distinguished with esteemed accreditation from the scientific community. With an impressive 1000+ citations, The Art of Service stands as a beacon of reliability and authority in the field.Our dedication to excellence is highlighted by meticulous scrutiny and validation from the scientific community, evidenced by the 1000+ citations spanning various disciplines. Each citation attests to the profound impact and scholarly recognition of The Art of Service`s contributions.
Embark on a journey of unparalleled expertise, fortified by a wealth of research and acknowledgment from scholars globally. Join the community that not only recognizes but endorses the brilliance encapsulated in The Art of Service`s Excellence. Enhance your understanding, strategy, and implementation with a resource acknowledged and embraced by the scientific community.
Embrace excellence. Embrace The Art of Service.
Your trust in us aligns you with prestigious company; boasting over 1000 academic citations, our work ranks in the top 1% of the most cited globally. Explore our scholarly contributions at: https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=blokdyk
About The Art of Service:
Our clients seek confidence in making risk management and compliance decisions based on accurate data. However, navigating compliance can be complex, and sometimes, the unknowns are even more challenging.
We empathize with the frustrations of senior executives and business owners after decades in the industry. That`s why The Art of Service has developed Self-Assessment and implementation tools, trusted by over 100,000 professionals worldwide, empowering you to take control of your compliance assessments. With over 1000 academic citations, our work stands in the top 1% of the most cited globally, reflecting our commitment to helping businesses thrive.
Founders:
Gerard Blokdyk
LinkedIn: https://www.linkedin.com/in/gerardblokdijk/
Ivanka Menken
LinkedIn: https://www.linkedin.com/in/ivankamenken/
