You need to convince stakeholders about the importance of data governance. What’s the best way to do it?

Data governance is the framework and practices ensuring data quality, integrity, security, and compliance across an organization's data assets. Benefits are Improved data quality, security, compliance, and decision-making while reducing risks and enhancing operational efficiency. Challenges: 1. Quality 2. Security 3. Compliance 4. Decision-making 5. Risk-reduction 6. Efficiency Ensuring a proper data governance team is formed in a an organization can mitigate above challenges. In order to comply with several policies in place such as GDPA, It is advised to handle data with care and responsibly. In my opinion, There should be a data rentention policy and always ensuring to utilize the data which are required.

Quando alguém for solicitar acesso aos dados da companhia é importante ter um processo bem definido para obter informa??es que v?o definir o nível de permiss?es que a pessoa terá de acordo com alguns fatores: área de atua??o, nível de senioridade, sensibilidade dos dados, etc. E desde o momento zero em que está em contato com as informa??es, deve estar ciente de que qualquer consulta estará sendo analisada pelo time de governan?a e que poderá ser questionada sobre a utilidade de tal informa??o, tudo para proteger as informa??es de possíveis vazamentos!

6. Ensuring Data Accuracy and Stakeholder Alignment: A Strategic Imperative In the pursuit of data governance, rectifying data discrepancies is often overlooked. Addressing application bugs tends to focus solely on code fixes, neglecting historical data affected by these bugs. This poses a significant risk to our data integrity and the reliability of our insights. Leadership must champion a robust data fix process and gain stakeholder buy-in by emphasizing long-term significance. It's crucial to highlight the potential impact of uncorrected data on future business outcomes and customer satisfaction.

it's always important to highlight the impacts that the lack of governance can bring within an organization, for instance, the absence of a well-established process for data access control can often lead the exposure of sensitive data outside the corporation. Establish a data governance culture and create advocates to disseminate the topic within the organization.

Let me start with an example. Yours is an e commerce business and at each stage you should know your customer interactions and engagement..etc to track him better so that you can serve him better with appropriate promotions, offers and communication…etc. To do all these you should know the customer better. For that we should build a CDP. To do all these organising the data is vital. The same is called data governance!

Algo que considero importante destacar na parte de seguran?a é a eficácia no gerenciamento de crise quando se tem uma governan?a dentro das regulamenta??es e com as melhores tecnologias: identifica??o rápida do incidente, normaliza??o do ambiente transacional no menor tempo possível, restaura??o dos acessos, etc.

Data governance is essential for ensuring the quality, security, and integrity of our data assets. By implementing robust data governance practices, we can: - Ensure data accuracy and consistency - Enhance data security and mitigate risks of data breaches - Improve decision-making by providing trusted and reliable data - Ensure compliance with regulations and standards - Optimize data usage and maximize its value for the organization Overall, data governance helps us maintain control over our data assets, enabling us to harness their full potential while minimizing risks and ensuring regulatory compliance.

Emphasize how data governance enhances decision-making, ensures regulatory compliance, and improves data quality and security. Present it as an investment in the organization’s future, akin to building a robust foundation for a house that ensures stability and security.

Data governance is important and keeping the data in a single platform is most important for adhering to data governance of one's company.

Data governance: the cure for bad-data headaches, decision paralysis, and those pesky 'where did that number come from?' moments

To get stakeholders on board with data governance, focus on the clear benefits: improved decision-making through high-quality data, compliance with regulations to avoid fines, and enhanced reputation and customer trust. Highlight examples where data mishaps have cost companies dearly, contrasting that with the competitive edge and operational efficiencies gained from good governance. It's about turning data into a strategic asset that drives growth and innovation.

A implementa??o da governan?a de dados enfrenta diversos desafios e barreiras. Aqui est?o alguns dos principais: Falta de Conscientiza??o: Muitas organiza??es ainda n?o compreendem completamente a importancia da governan?a de dados. Convencer as partes interessadas sobre seus benefícios é um desafio inicial. Resistência à Mudan?a: Implementar novos processos e políticas pode encontrar resistência por parte dos colaboradores. A mudan?a cultural é fundamental para o sucesso da governan?a. Complexidade Tecnológica: A gest?o eficaz dos dados requer ferramentas, sistemas e infraestrutura adequados. Falta de Recursos: Alocar recursos financeiros e humanos para a governan?a de dados pode ser um obstáculo.

Addressing the challenge of convincing stakeholders about the importance of data governance involves highlighting its role in ensuring data quality, security, compliance, and strategic decision-making. It's about demonstrating how effective data governance can mitigate risks, enhance operational efficiency, and drive business value by maximizing the utility and reliability of data assets.

Acknowledge the hurdles in implementing data governance, such as upfront costs and cultural changes. Counter these by showing how the long-term benefits outweigh the initial challenges, similar to enduring the discomfort of exercise for the payoff of long-term health.

Any benefit will have few obvious challenges. In the data governance we might have challenges like data security, compliance, cleanliness, completeness and integrity issues. For all these we have technology solutions. We just have to decide what we adopt and implement. We have consider couple factors in deciding. Like budget. But all these can be addressable.

Involving and engaging stakeholders in data governance is essential for ensuring the success and effectiveness of data management efforts. By actively involving stakeholders, you can gain their support, understanding, and commitment to data governance initiatives. This collaborative approach fosters transparency, accountability, and trust, ultimately leading to better decision-making and more effective data utilization across the organization.

Encourage stakeholders to participate in the data governance process by soliciting their input and involving them in decision-making. This inclusion is like inviting them on a journey, making them co-navigators rather than passengers, which can lead to greater buy-in and commitment.

Encourage stakeholder participation by soliciting their input and feedback. Address concerns openly and celebrate successes to maintain engagement. Emphasize the personal relevance of data governance, demonstrating how it directly benefits stakeholders in their roles. Maintain open communication throughout the process, providing regular updates and seeking input on key decisions.

Data governance isn't a spectator sport. We need everyone's voices in the mix for the best results! Data governance is a team effort. We want your expertise, your gripes, your 'what if we tried this...' moments.

In these kind of initiatives we just have to involve people with right skill set. Their responsibility mainly is involve the key stakeholders at each stage and engage with discussions, challenges and solutions. That will motivate stakeholders to agree on the initiative and give full support!!

Conhecimento Fundamentado: A educa??o deve abranger os conceitos essenciais da governan?a de dados. As partes interessadas precisam entender por que é relevante e como se aplica ao seu trabalho. Diretrizes Claras: Documenta??o e diretrizes concisas s?o cruciais. Elas servem como um guia prático para implementar políticas e padr?es. Capacita??o Contínua: Treinamento, coaching e sess?es de mentoria mantêm as partes interessadas atualizadas. Isso também promove a ado??o de melhores práticas. Monitoramento e Avalia??o: Acompanhar o progresso e o desempenho é vital. Isso permite ajustes e identifica??o de áreas de melhoria.

Provide concise and clear explanations about the benefits of data governance, such as improved data quality, compliance with regulations, and enhanced decision-making. Offer training sessions to demonstrate how data governance can mitigate risks and drive business value.

Offer workshops or seminars to educate stakeholders on what data governance entails and its strategic importance. Knowledge is power; by demystifying data governance and providing practical examples of its impact, you can transform uncertainty into support.

Create educational materials such as tutorials, guides, blog posts, or videos covering various aspects of data engineering, including data pipelines, ETL (Extract, Transform, Load) processes, data warehousing, and data architecture. Share your expertise and practical insights through case studies, examples, and real-world scenarios to help learners understand complex concepts.

The importance of data governance is more accepted knowledge now than a decade ago. So it should not be as hard as it used to be. However, 3 key points will make it even better. 1. Customize the benefits. Everyone benefits from well governed data. Highlight the right aspect for the stakeholders. It could be ease of access, data quality, compliance, security or a number of things. 2. Have an incremental plan. Data governance is a huge initiative. Try to break that into smaller achievable chunks and prioritise that is quick to achieve but adds significant benefit. Remember the 80-20 rule. 3. Always have a measurement mechanism. Measure the success, learn from the failures and make amends.

Remember that demonstrating quick wins can be powerful. Identify areas where data governance can make an immediate impact and use these successes as case studies to build momentum. Additionally, leverage industry case studies where data governance has significantly benefited similar organizations. This approach not only proves its value but also shows that success is achievable.

A possible quick win is to demonstrate to high level stakeholders the immediate impact of having actionable data. Starting with data from an area of the business that is a major area of interest is another way to do this.

A key aspect of data governance is knowing your data . What is the source of data , what shape is it in, how does it manifest at rest and how does it transform . Once we know that we can identify system, process and organizational actors who manage data and have data management guardrails in place completing the governance cycle .

I think showing them what data governance would solve and would prevent would be impactful. For example with a DG in place, teams know what is possible and isn't possible without confusion or misunderstandings. Although you don't want too much DG either as that can cause projects to lag heavily due to red tape.