How can data security and governance align for better business outcomes?

Data security and governance are often seen as separate or even conflicting domains, but they can also work together to create better business outcomes. In this article, you will learn how to align data security and governance principles, practices, and tools to enhance data quality, compliance, and value.

1 What is data security and governance?

Data security is the protection of data from unauthorized access, use, modification, or disclosure. It involves applying technical, organizational, and legal measures to ensure data confidentiality, integrity, and availability. Data governance is the management of data assets to ensure they are properly defined, documented, stored, accessed, and used. It involves establishing policies, standards, roles, and responsibilities to ensure data quality, consistency, and compliance.

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Kamal Jeet Singh

Cybersecurity Expert
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Data security and governance align for better business outcomes by: Protecting sensitive data: Ensuring data is secure from breaches, which maintains customer trust and avoids legal issues. Complying with regulations: Meeting data protection laws prevents fines and enhances reputation. Improving decision-making: High-quality, well-governed data leads to more accurate insights. Increasing efficiency: Good data governance avoids duplication of effort and reduces errors. Enabling innovation: Secure, well-governed data can be safely used to drive new initiatives.

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2 Why are they important for business outcomes?

Data security and governance are essential for business success, as they impact the trustworthiness, usability, and value of data. With effective data security and governance, businesses can reduce the risks of data breaches or losses that can damage reputation or customer loyalty. Additionally, data security and governance can increase efficiency and productivity by eliminating data errors, duplication, or inconsistency. It can also improve decision making and innovation by providing data-driven insights, analytics, and applications that can boost performance, customer satisfaction, and competitive advantage.

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3 How can they align for better results?

Data security and governance can be improved by adopting a data-centric approach that focuses on securing and governing data at the source. It is important to implement a data classification scheme and apply a data lifecycle management framework to assign different levels of sensitivity and access rights to data based on their business value and regulatory requirements. Leveraging a data catalog tool is also beneficial, as it provides a centralized and searchable repository of data metadata, lineage, quality, and usage. Furthermore, enforcing a data privacy policy that complies with relevant laws and regulations is essential for respecting the rights and preferences of data subjects. Finally, promoting a data culture that fosters collaboration, accountability, and ethics among all data stakeholders is key for successful data security and governance.

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4 What are some challenges and opportunities?

Data security and governance alignment can face a variety of challenges and opportunities. It is important to balance the trade-offs between data protection and data accessibility, which may require finding the optimal level of encryption, anonymization, or masking for different data types and use cases. Integrating the data security and governance functions is also necessary, as it requires aligning the goals, metrics, and incentives of different teams and roles. Additionally, adopting new technologies and standards may be necessary in order to update the skills, tools, and processes of data security and governance professionals. Lastly, leveraging the cloud and big data may offer new possibilities and benefits for data security and governance, such as scalability, flexibility, and automation.

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Mohammed Arifuddin

Data Privacy & Governance Expert | OneTrust & Azure Certified | Published Author | Solution Architect
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The 2 biggest challenges in an ever-evolving DATA landscape are: - Complex Regulatory requirements: Data privacy and security regulations are becoming increasingly complex, making it difficult for organizations to comply. These regulations often vary from country to country, and organizations that operate globally must comply with all applicable regulations. - Rapid Technological changes: New data technologies are emerging all the time, like AI/ML and blockchain. These technologies offer new opportunities for businesses, but they also introduce new security risks. For example, blockchain networks can be used to launder money and finance criminal activities.

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5 How to get started or improve?

Data security and governance alignment is an ongoing process that requires constant monitoring, evaluation, and improvement. To begin or improve, you should assess your current data security and governance maturity, gaps, and needs. Additionally, you should define your data security and governance vision, objectives, and strategy. Establishing a governance structure with roles and responsibilities is also important. Furthermore, you should implement policies, standards, and procedures as well as deploy tools, technologies, and solutions. Lastly, measuring data security and governance outcomes is essential for assessing the impacts and value.

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6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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Hanım Eken

Helping about AI Governance & AI Cybersecurity |Cybersecurity mentor| Public Speaker | Trainer | Penetration Tester | Freelance Cybersecurity Consultant | Secure Digital Transformation
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Data security and data governance are essential components of a robust data management strategy. Some suggestions: Establish a clear data governance framework Identify sensitive data Implement data classification and labeling Develop data security policies and procedures Access controls and authentication Encryption Regularly audit and monitor data access Compliance with regulations Data lifecycle management

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How can data security and governance align for better business outcomes?

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1 What is data security and governance?

2 Why are they important for business outcomes?

3 How can they align for better results?

4 What are some challenges and opportunities?

5 How to get started or improve?

6 Here’s what else to consider

Data Governance

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How can data security and governance align for better business outcomes?

1

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3

4

5

6

1 What is data security and governance?

2 Why are they important for business outcomes?

3 How can they align for better results?

4 What are some challenges and opportunities?

5 How to get started or improve?

6 Here’s what else to consider

Data Governance

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