Attention Data Management Professionals!
Are you tired of searching for the most important questions to ask when implementing a Data Governance Framework and preventing SQL Injection attacks? Look no further!
Our comprehensive dataset includes 1485 prioritized requirements, solutions, benefits, results, and real-life case studies to guide you in successfully securing your data.
With our Data Governance Framework and SQL Injection Knowledge Base, you can easily prioritize urgent issues and address them efficiently.
Our dataset offers a scope of solutions that will save you time and resources, ensuring your data is protected at all times.
But that′s not all - our dataset stands out compared to competitors and alternatives, offering a wealth of valuable information for professionals like you.
It′s easy to use, with a detailed overview of the product specifications and features.
Plus, it′s perfect for those on a tight budget, with a DIY and affordable alternative to costly consultancy services.
Our dataset also provides extensive research on Data Governance Framework and SQL Injection, giving you an in-depth understanding of the topic.
Perfect for businesses of all sizes, our product offers cost-effective solutions to protect your valuable data.
So why wait? Invest in our Data Governance Framework and SQL Injection Knowledge Base today and experience the benefits for yourself.
Say goodbye to expensive consultancy fees and time-consuming research - with our dataset, you′ll have all the necessary tools to ensure data security at your fingertips.
Don′t miss out on this game-changing product - try it now and see the results for yourself!
What database and report security is in place? How is the database connection information stored securely?
Data Governance Framework
A data governance framework is a set of policies and procedures that govern the management, access, and security of data within a company. It outlines the specific measures in place to protect databases and report data from unauthorized access or tampering.
1. Parameterized Queries: Use input validation that checks and sanitizes user input. (Better defense against malicious queries)
2. Stored Procedures: Predefined, modular SQL statements with limited privileges. (Limits access to sensitive data)
3. Whitelisting: Limit input to a specific set of allowed characters. (Prevents unexpected commands)
4. Regular Expression Matching: Define patterns for acceptable input. (Helps identify and block malicious code)
5. Input Validation: Check user input against expected data types, formats, and lengths. (Prevents incorrect input)
6. Firewalls: Implement network-level security measures. (Blocks unauthorized access)
7. Role-Based Access Controls: Define privileges and restrictions for different user roles. (Limits access to authorized actions)
8. Encryption: Protect sensitive data by encrypting it at rest and in transit. (Secure data against unauthorized access)
9. Database Auditing: Monitor and track database activity for potential vulnerabilities. (Detect and prevent suspicious activity)
10. Regular Software Updates: Keep databases up to date with security patches. (Fix known vulnerabilities)
CONTROL QUESTION: What database and report security is in place?
Big Hairy Audacious Goal (BHAG) for 10 years from now:
By 2030, our organization will have implemented a comprehensive data governance framework that ensures the highest level of database and report security. This framework will utilize state-of-the-art technology and protocols to protect sensitive information from unauthorized access, manipulation, or theft. It will also incorporate regular audits and assessments to identify any potential vulnerabilities and ensure compliance with all relevant regulations. Our data governance team will be equipped with advanced skills and knowledge to proactively monitor and address any emerging threats, providing a seamless experience for our users while maintaining the utmost privacy and security for their data. This robust data governance framework will serve as a benchmark for other organizations in the industry, solidifying our reputation as a trusted and reliable data custodian.
"The quality of the prioritized recommendations in this dataset is exceptional. It`s evident that a lot of thought and expertise went into curating it. A must-have for anyone looking to optimize their processes!"
Case Study: Implementing a Data Governance Framework for Database and Report Security
Client Situation:
XYZ Corporation is a multinational company with operations in multiple countries. The company handles a large amount of sensitive data, including customer information, financial data, and intellectual property. Due to its extensive data assets, the company has been facing challenges in managing and securing its data effectively. The existing processes and policies are fragmented, leading to data inaccuracies, duplication, and security breaches. To address these issues, the company has decided to implement a data governance framework that will ensure the proper management, protection, and utilization of its data.
Consulting Methodology:
The consulting team followed a structured approach to develop and implement a data governance framework for the client. The methodology can be broken down into the following phases:
1. Assessment: The first phase involved conducting an in-depth assessment of the current state of data management, security, and governance. This included evaluating the existing policies, procedures, tools, and technologies in use.
2. Framework development: Based on the assessment findings and industry best practices, a comprehensive data governance framework was developed. The framework encompassed all aspects of data management, including security, quality, privacy, and compliance.
3. Implementation: The next phase focused on implementing the data governance framework. This involved identifying and addressing any gaps in the current processes and systems. The team also conducted training sessions for the employees to ensure their buy-in and understanding of the new policies and procedures.
4. Monitoring and maintenance: Once the framework was implemented, the team established a monitoring system to track its effectiveness. This included regular audits, reviews, and updates to the framework as needed.
Deliverables:
The consulting team delivered the following key deliverables as part of the project:
1. Data governance framework document: A comprehensive document outlining the policies, procedures, and guidelines for managing data in the organization.
2. Data classification and security policy: This document outlined the data classification levels and the corresponding security measures for each level.
3. Data quality and privacy policies: These policies defined the standards and procedures for ensuring the accuracy, completeness, and confidentiality of data.
4. Training materials: The team developed training materials to educate employees on the new data governance framework and their roles and responsibilities in its implementation.
Implementation Challenges:
The primary challenge faced by the consulting team was the resistance to change from employees. The company had a strong culture of autonomy, and employees were used to managing their data without strict guidelines. To address this, the team collaborated closely with the leadership to emphasize the benefits of the data governance framework and the need for standardization to improve data management and security.
KPIs:
To measure the success of the project, the following key performance indicators (KPIs) were tracked:
1. Data accuracy: A decrease in data inaccuracies and inconsistencies, as measured by the data quality audits.
2. Security incidents: A decrease in security breaches and incidents related to data, as reported by the IT security team.
3. Employee compliance: An increase in employee compliance with the data governance framework, as measured through surveys and audits.
4. Data utilization: An increase in the use of data for decision-making and analytics, as reported by the business intelligence team.
Management Considerations:
Implementing a data governance framework requires a significant investment of time, resources, and cultural change. To ensure its success, the following management considerations should be kept in mind:
1. Executive support: The buy-in and support of top leadership are essential for the successful implementation of a data governance framework.
2. Collaboration: Close collaboration between the consulting team and the client′s internal stakeholders is crucial to understanding the organization′s unique needs and challenges.
3. Communication: It is critical to communicate the benefits, objectives, and progress of the data governance framework to all employees to gain their support and buy-in.
4. Ongoing maintenance: A structured approach to monitoring, reviewing, and updating the data governance framework is necessary to keep it relevant and effective.
Consulting Whitepapers:
The project was guided by various consulting whitepapers on data governance and security. These included:
1. Data Governance Framework for Enterprise Data Management by Bloor Research - This whitepaper provided a comprehensive framework for developing a data governance strategy that focuses on data security, privacy, and quality.
2. Securing Your Data: Data Governance and Security by Gartner - This whitepaper outlined the evolving landscape of data security threats and how organizations can leverage data governance to manage these risks.
Academic Business Journals:
The following academic business journals were referred to for additional insights and research:
1. Data Governance Best Practices: Managing Data Beyond IT by the Journal of Information Systems Applied Research - This article highlighted the importance of data governance in mitigating information security risks and ensuring compliance with data protection regulations.
2. A Comprehensive Approach to Data Governance: Protecting Sensitive Data from Cybersecurity Threats by the International Journal of Business Information Systems - This research paper emphasized the need for a holistic approach to data governance to safeguard sensitive data from cybersecurity threats.
Market Research Reports:
The consulting team also consulted market research reports to gain a better understanding of the trends and best practices in data governance and security. These reports include:
1. Global Data Governance Market - Trends, Analysis and Forecast till 2025 by Market Research Future - This report provided insights into the global data governance market, including key trends, drivers, and challenges.
2. Database Security Market - Growth, Trends, and Forecast (2020-2025) by Mordor Intelligence - This report highlighted the growing importance of database security and the key vendors in the market.
Conclusion:
In conclusion, implementing a data governance framework is crucial for an organization to effectively manage and secure its data. With the adoption of a structured approach, collaboration, and ongoing monitoring, the consulting team successfully developed and implemented a comprehensive data governance framework for database and report security for XYZ Corporation. This has resulted in improved data accuracy, reduced security breaches, and increased employee compliance, leading to better decision-making and competitive advantage for the company.
Are you tired of searching for the most important questions to ask when implementing a Data Governance Framework and preventing SQL Injection attacks? Look no further!
Our comprehensive dataset includes 1485 prioritized requirements, solutions, benefits, results, and real-life case studies to guide you in successfully securing your data.
With our Data Governance Framework and SQL Injection Knowledge Base, you can easily prioritize urgent issues and address them efficiently.
Our dataset offers a scope of solutions that will save you time and resources, ensuring your data is protected at all times.
But that′s not all - our dataset stands out compared to competitors and alternatives, offering a wealth of valuable information for professionals like you.
It′s easy to use, with a detailed overview of the product specifications and features.
Plus, it′s perfect for those on a tight budget, with a DIY and affordable alternative to costly consultancy services.
Our dataset also provides extensive research on Data Governance Framework and SQL Injection, giving you an in-depth understanding of the topic.
Perfect for businesses of all sizes, our product offers cost-effective solutions to protect your valuable data.
So why wait? Invest in our Data Governance Framework and SQL Injection Knowledge Base today and experience the benefits for yourself.
Say goodbye to expensive consultancy fees and time-consuming research - with our dataset, you′ll have all the necessary tools to ensure data security at your fingertips.
Don′t miss out on this game-changing product - try it now and see the results for yourself!
Discover Insights, Make Informed Decisions, and Stay Ahead of the Curve:
Key Features:
Comprehensive set of 1485 prioritized Data Governance Framework requirements. - Extensive coverage of 275 Data Governance Framework topic scopes.
- In-depth analysis of 275 Data Governance Framework step-by-step solutions, benefits, BHAGs.
- Detailed examination of 275 Data Governance Framework 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: Revision Control, Risk Controls Effectiveness, Types Of SQL Injections, Outdated Infrastructure, Technology Risks, Streamlined Operations, Cybersecurity Policies, CMMi, AI Products, HTML forms, Distributed Ledger, Click Tracking, Cyber Deception, Organizational Risk Management, Secure Remote Access, Data Ownership, Accessible Websites, Performance Monitoring, Email security, Investment Portfolio, Policy Updates, Code Smells, Cyber Espionage, ITSM, App Review, Data Longevity, Media Inventory, Vulnerability Remediation, Web Parts, Risk And Culture, Security Measures, Hacking Techniques, Plugin Management, ISO 17024, Data Breaches, Data Breach Insurance, Needs Analysis Tools, Cybersecurity Training Program, Cyber Risk Management, Information Quality, Data Governance Framework, Cybersecurity Measures, Stakeholder Involvement, Release Notes, Application Roadmap, Exploitation Of Vulnerabilities, Cyber Risk, App Server, Software Architect, Technological Development, Risk Assessment, Cybercrime Investigation, Web Hosting, Legal Requirements, Healthcare IT Governance, Environmental Impact, Push Notifications, Virtual Assessments, Google Data Studio, Secure APIs, Cloud Vulnerabilities, Browser Isolation, Platform Business Model, Management Systems, Confidence Intervals, Security Architecture, Vulnerability management, Cybersecurity in Business, Desktop Security, CCISO, Data Security Controls, Cyber Attacks, Website Governance, Key Projects, Network Security Protocols, Creative Freedom, Collective Impact, Security Assurance, Cybersecurity Trends, Cybersecurity Company, Systems Review, IoT Device Management, Cyber Policy, Law Enforcement Access, Data Security Assessment, Secure Networks, Application Security Code Reviews, International Cooperation, Key Performance Indicator, Data Quality Reporting, Server Logs, Web Application Protection, Login Process, Small Business, Cloud Security Measures, Secure Coding, Web Filtering Content Filtering, Industry Trends, Project responsibilities, IT Support, Identity Theft Prevention, Fighting Cybercrime, Better Security, Crisis Communication Plan, Online Security Measures, Corrupted Data, Streaming Data, Incident Handling, Cybersecurity in IoT, Forensics Investigation, Focused Plans, Web Conferencing, Strategic Measures, Data Breach Prevention, Facility Layout, Ransomware, Identity Theft, Cybercrime Legislation, Developing Skills, Secure Automated Reporting, Cyber Insider Threat, Social Engineering Techniques, Web Security, Mobile Device Management Security Policies, Client Interaction, Development First Security, Network Scanning, Software Vulnerabilities, Information Systems, Cyber Awareness, Deep Learning, Adaptive Advantages, Risk Sharing, APT Protection, Data Risk, Information Technology Failure, Database Searches, Data Misuse, Systems Databases, Chief Technology Officer, Communication Apps, Evidence Collection, Disaster Recovery, Infrastructure Assessment, Database Security, Legal claims, Market Monitoring, Cybercrime Prevention, Patient Data Privacy Solutions, Data Responsibility, Cybersecurity Procedures, Data Standards, Crisis Strategy, Detection and Response Capabilities, Microsoft Graph API, Red Hat, Performance Assessment, Corrective Actions, Safety Related, Patch Support, Web Services, Prioritizing Issues, Database Query Tuning, Network Security, Logical Access Controls, Firewall Vulnerabilities, Cybersecurity Audit, SQL Injection, PL SQL, Recognition Databases, Data Handling Procedures, Application Discovery, Website Optimization, Capital Expenses, System Vulnerabilities, Vulnerability scanning, Hybrid Cloud Disaster Recovery, Cluster Performance, Data Security Compliance, Robotic Process Automation, Phishing Attacks, Threat Prevention, Data Breach Awareness, ISO 22313, Cybersecurity Skills, Code Injection, Network Device Configuration, Cyber Threat Intelligence, Cybersecurity Laws, Personal Data Collection, Corporate Security, Project Justification, Brand Reputation Damage, SQL Server, Data Recovery Process, Communication Effectiveness, Secure Data Forensics, Online Visibility, Website Security, Data Governance, Application Development, Single Sign On Solutions, Data Center Security, Cyber Policies, Access To Expertise, Data Restore, Common Mode Failure, Mainframe Modernization, Configuration Discovery, Data Integrity, Database Server, Service Workers, Political Risk, Information Sharing, Net Positive Impact, Secure Data Replication, Cyber Security Response Teams, Anti Corruption, Threat Intelligence Gathering, Registration Accuracy, Privacy And Security Measures, Privileged Access Management, Server Response Time, Password Policies, Landing Pages, Local Governance, Server Monitoring, Software Applications, Asset Performance Management, Secure Data Monitoring, Fault Injection, Data Privacy, Earnings Quality, Data Security, Customer Trust, Cyber Threat Monitoring, Stakeholder Management Process, Database Encryption, Remote Desktop Security, Network Monitoring, Vulnerability Testing, Information Systems Audit, Information Technology, Emerging Technologies, IT Systems, Dark Web, Project Success Rate, Third Party Risks, Protection Layers, Security Risk Management, Cyber Threats, Secure Software Design, Secure Channels, Web Application Proxy, Net Retention, Web Application Security, Cyber Incident Management, Third Party Vendors, Data Archiving, Legal Liability, Zero Trust, Dark Web Monitoring, Web application development, WAF Firewall, Data Breach Risk Management, Cyber Education, Agile Monitoring, Business Continuity, Big Data, Technical Analysis, Databases Networks, Secure Data Validation, Product Information Management, Compliance Trends, Web Access Control
Data Governance Framework Assessment Dataset - Utilization, Solutions, Advantages, BHAG (Big Hairy Audacious Goal):
Data Governance Framework
A data governance framework is a set of policies and procedures that govern the management, access, and security of data within a company. It outlines the specific measures in place to protect databases and report data from unauthorized access or tampering.
1. Parameterized Queries: Use input validation that checks and sanitizes user input. (Better defense against malicious queries)
2. Stored Procedures: Predefined, modular SQL statements with limited privileges. (Limits access to sensitive data)
3. Whitelisting: Limit input to a specific set of allowed characters. (Prevents unexpected commands)
4. Regular Expression Matching: Define patterns for acceptable input. (Helps identify and block malicious code)
5. Input Validation: Check user input against expected data types, formats, and lengths. (Prevents incorrect input)
6. Firewalls: Implement network-level security measures. (Blocks unauthorized access)
7. Role-Based Access Controls: Define privileges and restrictions for different user roles. (Limits access to authorized actions)
8. Encryption: Protect sensitive data by encrypting it at rest and in transit. (Secure data against unauthorized access)
9. Database Auditing: Monitor and track database activity for potential vulnerabilities. (Detect and prevent suspicious activity)
10. Regular Software Updates: Keep databases up to date with security patches. (Fix known vulnerabilities)
CONTROL QUESTION: What database and report security is in place?
Big Hairy Audacious Goal (BHAG) for 10 years from now:
By 2030, our organization will have implemented a comprehensive data governance framework that ensures the highest level of database and report security. This framework will utilize state-of-the-art technology and protocols to protect sensitive information from unauthorized access, manipulation, or theft. It will also incorporate regular audits and assessments to identify any potential vulnerabilities and ensure compliance with all relevant regulations. Our data governance team will be equipped with advanced skills and knowledge to proactively monitor and address any emerging threats, providing a seamless experience for our users while maintaining the utmost privacy and security for their data. This robust data governance framework will serve as a benchmark for other organizations in the industry, solidifying our reputation as a trusted and reliable data custodian.
Customer Testimonials:
"The quality of the prioritized recommendations in this dataset is exceptional. It`s evident that a lot of thought and expertise went into curating it. A must-have for anyone looking to optimize their processes!"
"This dataset was the perfect training ground for my recommendation engine. The high-quality data and clear prioritization helped me achieve exceptional accuracy and user satisfaction."
"Thank you for creating this amazing resource. You`ve made a real difference in my business and I`m sure it will do the same for countless others."
Data Governance Framework Case Study/Use Case example - How to use:
Case Study: Implementing a Data Governance Framework for Database and Report Security
Client Situation:
XYZ Corporation is a multinational company with operations in multiple countries. The company handles a large amount of sensitive data, including customer information, financial data, and intellectual property. Due to its extensive data assets, the company has been facing challenges in managing and securing its data effectively. The existing processes and policies are fragmented, leading to data inaccuracies, duplication, and security breaches. To address these issues, the company has decided to implement a data governance framework that will ensure the proper management, protection, and utilization of its data.
Consulting Methodology:
The consulting team followed a structured approach to develop and implement a data governance framework for the client. The methodology can be broken down into the following phases:
1. Assessment: The first phase involved conducting an in-depth assessment of the current state of data management, security, and governance. This included evaluating the existing policies, procedures, tools, and technologies in use.
2. Framework development: Based on the assessment findings and industry best practices, a comprehensive data governance framework was developed. The framework encompassed all aspects of data management, including security, quality, privacy, and compliance.
3. Implementation: The next phase focused on implementing the data governance framework. This involved identifying and addressing any gaps in the current processes and systems. The team also conducted training sessions for the employees to ensure their buy-in and understanding of the new policies and procedures.
4. Monitoring and maintenance: Once the framework was implemented, the team established a monitoring system to track its effectiveness. This included regular audits, reviews, and updates to the framework as needed.
Deliverables:
The consulting team delivered the following key deliverables as part of the project:
1. Data governance framework document: A comprehensive document outlining the policies, procedures, and guidelines for managing data in the organization.
2. Data classification and security policy: This document outlined the data classification levels and the corresponding security measures for each level.
3. Data quality and privacy policies: These policies defined the standards and procedures for ensuring the accuracy, completeness, and confidentiality of data.
4. Training materials: The team developed training materials to educate employees on the new data governance framework and their roles and responsibilities in its implementation.
Implementation Challenges:
The primary challenge faced by the consulting team was the resistance to change from employees. The company had a strong culture of autonomy, and employees were used to managing their data without strict guidelines. To address this, the team collaborated closely with the leadership to emphasize the benefits of the data governance framework and the need for standardization to improve data management and security.
KPIs:
To measure the success of the project, the following key performance indicators (KPIs) were tracked:
1. Data accuracy: A decrease in data inaccuracies and inconsistencies, as measured by the data quality audits.
2. Security incidents: A decrease in security breaches and incidents related to data, as reported by the IT security team.
3. Employee compliance: An increase in employee compliance with the data governance framework, as measured through surveys and audits.
4. Data utilization: An increase in the use of data for decision-making and analytics, as reported by the business intelligence team.
Management Considerations:
Implementing a data governance framework requires a significant investment of time, resources, and cultural change. To ensure its success, the following management considerations should be kept in mind:
1. Executive support: The buy-in and support of top leadership are essential for the successful implementation of a data governance framework.
2. Collaboration: Close collaboration between the consulting team and the client′s internal stakeholders is crucial to understanding the organization′s unique needs and challenges.
3. Communication: It is critical to communicate the benefits, objectives, and progress of the data governance framework to all employees to gain their support and buy-in.
4. Ongoing maintenance: A structured approach to monitoring, reviewing, and updating the data governance framework is necessary to keep it relevant and effective.
Consulting Whitepapers:
The project was guided by various consulting whitepapers on data governance and security. These included:
1. Data Governance Framework for Enterprise Data Management by Bloor Research - This whitepaper provided a comprehensive framework for developing a data governance strategy that focuses on data security, privacy, and quality.
2. Securing Your Data: Data Governance and Security by Gartner - This whitepaper outlined the evolving landscape of data security threats and how organizations can leverage data governance to manage these risks.
Academic Business Journals:
The following academic business journals were referred to for additional insights and research:
1. Data Governance Best Practices: Managing Data Beyond IT by the Journal of Information Systems Applied Research - This article highlighted the importance of data governance in mitigating information security risks and ensuring compliance with data protection regulations.
2. A Comprehensive Approach to Data Governance: Protecting Sensitive Data from Cybersecurity Threats by the International Journal of Business Information Systems - This research paper emphasized the need for a holistic approach to data governance to safeguard sensitive data from cybersecurity threats.
Market Research Reports:
The consulting team also consulted market research reports to gain a better understanding of the trends and best practices in data governance and security. These reports include:
1. Global Data Governance Market - Trends, Analysis and Forecast till 2025 by Market Research Future - This report provided insights into the global data governance market, including key trends, drivers, and challenges.
2. Database Security Market - Growth, Trends, and Forecast (2020-2025) by Mordor Intelligence - This report highlighted the growing importance of database security and the key vendors in the market.
Conclusion:
In conclusion, implementing a data governance framework is crucial for an organization to effectively manage and secure its data. With the adoption of a structured approach, collaboration, and ongoing monitoring, the consulting team successfully developed and implemented a comprehensive data governance framework for database and report security for XYZ Corporation. This has resulted in improved data accuracy, reduced security breaches, and increased employee compliance, leading to better decision-making and competitive advantage for the company.
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/
