Before you start any training or education program, you need to have a clear understanding of what you want to achieve with data governance and security. What are the objectives, standards, policies, roles, and responsibilities for data governance and security in your organization or project? How do they align with your business goals, legal requirements, and ethical principles? How will you measure and monitor your data governance and security performance? These questions will help you define your data governance and security goals and communicate them to your audience.
The objective of data governance is to maintain consistent and accurate data that can be pulled into various forms of analytics. For example, inventory data from a warehouse can be used for reporting revenue, finding operational inefficiencies, and supply planning. Having proper data governances will ensure the data is easy to understand and transfer between projects.
Na minha experiência antes de chegar no tema de Governança de Dados, precisa estar bem claro o que é a democratização dos dados, o que é jornada data-driven o que são políticas e padrões e compor todo o guarda-chuva da Governança de Dados. Treinamento e entendimento do programa como um todo, para priorizar as metas estipuladas.
⚡Effective data governance ensures that data is consistent and trustworthy and doesn't get misused. It's increasingly critical as organizations face expanding data privacy regulations and rely more and more on data analytics to help optimize operations and drive business decision-making.
There should be a concerted emphasis on blending data governance concepts into day-to-day operations in an effort to drive adoption. Take the time to right size your data governance approach to your organization, as data governance should be practical, maintainable and proportionate to your organization's needs.
Great points here, I recently asked an industry peer and CDO if he felt data governance should be more focused on risk, or enabling the business to move faster. I tend to lean towards the latter.
Data governance and security are not only relevant for analytics professionals, but also for other data users, such as managers, decision-makers, customers, and partners. Therefore, you need to identify your audience and their needs when designing your training or education program. What is their current level of data literacy and awareness? What are their data roles and responsibilities? What are their data challenges and pain points? What are their learning preferences and styles? These questions will help you tailor your content, format, and delivery to your audience and their needs.
Na minha experiência a conscientização em dados é algo que precisa estar no "core" das empresas, ter uma área que ajude na cultura, no uso e nos ganhos de quem usa. A Segurança estará conectada. Um tema bem relevante é que dados e negócio precisam falar a mesma língua, sem jargão, sem tecniquez excessivo.
From my experience, Data Governance isn't just about legal protection of data. It's key to gaining trust from customers and stakeholders. Making it a core value within your company ensures everyone understands its importance and contributes to its implementation.
Ensuring that everyone in your organization has an appropriate level of data literacy for their role is vital to the success of any data governance program.
Understand the diverse roles and responsibilities within your organization related to data governance and security. Tailor your training programs to meet the needs of different stakeholders, including data analysts, data scientists, IT professionals, executives, and compliance officers. Customize the content and delivery methods to address their specific challenges and requirements.
The audience for data is essentially everyone that is involved with data generation, data analysis and reporting, data usage (includes customers and partners), and data management. It is important to gather inputs from all these stakeholders when curating your Data governance policy. For e.g. in order to manage access to data, you will need to know the purpose, usage, utility and authority aspects related to the access requestor. Similarly, while creating Mobile Apps for data collection, you may want to be mindful of privacy laws, user data protection and consent requirements, and user data handling is in accordance with all legal and ethical considerations.
There is no one-size-fits-all approach to training and educating yourself and others on data governance and security. You need to use a variety of methods and resources to suit different learning objectives, contexts, and outcomes. For example, you can use online courses, webinars, podcasts, blogs, books, and articles to learn about data governance and security concepts, frameworks, and best practices. You can use case studies, examples, exercises, quizzes, and games to apply data governance and security skills and knowledge. You can use forums, communities, mentors, coaches, and peers to exchange data governance and security insights and feedback.
Utilize de cursos online, grupos de whatsapp, podcats .. tem muito artigo bom publicado. Procure por metadados, governança de dados, qualidade de dados, framework Dama entre outros. Mas lembre-se que a gov é evolutiva.
Online courses, webinars, podcasts, blogs, books, and articles to learn about data governance and security concepts are all fine, but if you want practical experience, getting your hands dirty with some real-time data would help. A simple data analysis on credit card fraud detection using SQL and Python will broaden your views on how detection of malicious behaviour takes place.
Employ a mix of training methods and resources to accommodate different learning styles and preferences. Offer traditional classroomstyle sessions, handson workshops, online courses, webinars, and selfpaced tutorials. Utilize case studies, realworld examples, interactive simulations, and practical exercises to reinforce key concepts and skills. Leverage online platforms, industry publications, whitepapers, and expert blogs for continuous learning and reference.
Training and education on data governance and security are not one-time events, but ongoing processes that require continuous improvement and reinforcement. Therefore, you need to incorporate data governance and security into your analytics workflow and culture. You can do this by creating and following data governance and security checklists, guidelines, templates, and tools. You can also document and share your data governance and security processes, outcomes, and lessons learned. You can also review and update your data governance and security goals, standards, policies, and practices regularly.
Data governance & security is crucial for protecting sensitive information, ensuring data quality, and maintaining trust in your insights. Here are some ways to do so: 1. Data Access and Control: - Implement role-based access control - Utilize data masking and anonymization - Employ data encryption 2. Data Quality and Lineage: - Establish data validation rules - Track data lineage - Monitor data metrics 3. Tools and Automation: - Invest in data governance and security tools - Integrate data governance into your analytics workflow - Leverage analytics platforms with built-in security features
Documenting data governance practices in policy manuals provides a framework for designing data pipelines and reports, ensuring alignment with governance standards. These documents support the organization’s agility in adapting to data challenges and help build customer trust through transparency and accountability in data collection and management.
Em resumo, a governança de dados visa estabelecer políticas, processos e controles para garantir que os dados sejam um ativo estratégico bem gerenciado e para que todo esse universo funcione toda a corporação precisa estar conectada neste tema, dados organizados, materiais claros, atualizados e de fácil consulta.
Documenting data governance practices are crucial for maintaining the integrity, security, and accessibility of organisational information. Establishing clear policies on storage, access, and disposal ensures compliance with regulations, prevents unauthorised access, and promotes a culture of responsible data management. Implementing robust data governance safeguards valuable information assets.
Integrate data governance and security practices seamlessly into your analytics workflow to promote a culture of responsible data management. Incorporate data classification, access controls, encryption, auditing, and monitoring mechanisms into your data pipelines and analytics platforms. Implement robust authentication and authorization mechanisms to restrict access to sensitive data and ensure compliance with regulatory requirements.
Training and educating yourself and others on data governance and security can be challenging and complex, especially if you have limited time, resources, or expertise. Therefore, you may need to seek external support and guidance from experts, consultants, or organizations that specialize in data governance and security. They can help you assess your data governance and security maturity, gaps, and risks. They can also help you design, implement, and evaluate your data governance and security strategy, plan, and program. They can also provide you with best practices, benchmarks, and certifications for data governance and security.
Parceiros externos, consultorias, treinamentos, workshop e muito networking são fundamentais para a governança. Hoje ainda vejo muita empresa desconectada deste tema.
Collaborate with external experts, consultants, and industry partners to gain insights into emerging trends, best practices, and innovative solutions in data governance and security. Attend conferences, workshops, and networking events to connect with peers and learn from their experiences. Engage with industry associations, forums, and communities to stay informed about the latest developments and regulatory changes.
External partners can support and guide you in trainings, formulation and audits of data governance and security. A lot of agencies, consultants, coaches and freelancers are available who expertise on data governance and security whose services can be utilized. With the fast paced changes in data privacy laws, there are a lot of seminars, conferences and webinars that invite these experts. By attending these, you may learn and get in touch with these external experts and start an engagement.
Data governance and security are dynamic and evolving fields that require you to stay updated and curious about the latest trends, developments, and innovations. You can do this by following data governance and security news, blogs, podcasts, newsletters, and social media. You can also attend data governance and security events, webinars, workshops, and conferences. You can also join data governance and security networks, communities, groups, and associations. You can also explore new data sources, technologies, methods, and applications that may affect your data governance and security.
One should always be ready to learn about new developments, as this area is constantly changing as it's important to keep up with the latest trends, new technologies, and changes in laws by reading up-to-date articles and reports, joining discussions on online forums where professionals share their experiences and insights, or taking part in training programs and workshops. By being proactive in learning, you can quickly adapt to new situations and ensure your organization's data practices are secure and up-to-date.
Você precisa ser curioso, ter boas referencias e aplicar, contribua com boletins, promova fóruns, participe de eventos e mantenha uma rede de conexões.
An open mind will develop stronger mental muscles. If you need to be analytical, you get there by performing analytical tasks.
Foster a culture of continuous learning and professional development among your team members. Encourage them to stay updated on evolving technologies, methodologies, and regulatory frameworks related to data governance and security. Promote knowledge sharing and collaboration through internal forums, communities of practice, and crossfunctional teams. Foster a curious mindset that drives exploration, experimentation, and innovation in data governance and security practices.
Uma coisa interessante é que os temas normalmente são tratados de forma isolada governança de um lado e segurança de outro., mas não deixe de conectar o que faz sinergia, Gov aplica definições de segurança, definidas por segurança e segurança sem governança é utopia.
An interesting thing to consider comes directly from the topic of this discussion. Governance and Security although complimentary are very distinct deciplines. This is close to home as Fluidata helps clients with Governance and it is all about people-centric democratisation of data assets through policies, stewardship, definitions, ratings and more. While Data Consultants understand and adhere to security policies we are not always cyber or data security experts. Looking at both as different entities is the first step to successfully implementing both.
Training and Educating Yourself Interactive Workshops: Participate in hands-on workshops with real-world scenarios to make learning engaging and practical. Online Courses: Enroll in specialized courses from platforms like Coursera or Udemy. Look for ones that offer certifications in data governance and security. Gamified Learning: Use gamification tools like Kahoot or Quizizz to create quizzes and challenges that make learning fun and competitive. Stay Updated: Follow blogs, attend webinars, and join professional groups like ISACA or DAMA International to stay current with the latest trends and regulations. Collaborative Projects: Work on cross-departmental projects to understand how different teams handle data security and governance.