Struggling to convey the importance of data governance to your non-technical team?

When explaining data governance to non-technical teams, start with the basics. Frame data as a valuable business asset, not just numbers in a system. Compare it to something tangible they manage, like inventory or finances. Explain that just as they have processes to keep inventory accurate or finances in order, data needs similar care. Emphasize that good data governance means everyone can trust and use the data effectively, leading to better decisions and improved customer experiences. Make it relatable - if they can't find a product in inventory, it's useless. Similarly, if data is disorganized or inaccurate, it can't help the business.

To start with some practical advice, don't use the term data governance unless your organization is really mature enough to understand what it means. Use simpler terms like, how might we creating a common understanding about your data so that we can be sure we all mean the same thing when we refer to it for decision making. Create an alignment among the organisation on the need to remove chances of any miscommunication

Muitos sabem de quanto é problemático ter dados de má qualidade, porém, nem todos querem ter o esfor?o para criar um processo cíclico de tratamento destes dados. Vale lembrar que também para a governan?a de dados, os pilares de pessoas, processos e tecnologia, precisam ser tratados. N?o basta fazer a gest?o dos dados, é preciso ter um framework de dados, que garanta a qualidade, seguran?a, conformidade, durante todo o seu ciclo de vida.

Data is the foundation of business intelligence which leads to informed and structured decision making. Leveranging experience and knowledge is no difference and is actually referencing data stored in us and applying them in related decision making.

I clarify the goals of data governance, such as ensuring data accuracy, security, and accessibility. I explain that data governance helps us make better decisions, comply with regulations, and protect the organization from risks, which ultimately supports our business objectives.

Data plays an important role in finding the next step for your business. The correct data will generate the real dynamics that can help a business to move into right direction. If the data is incorrect it can lead to open many doors of loss for business. In my previous role, alot of effort was put to maintain the correct data. The stats generated by that data resulted into the successful results. The company was able to expand their business and increase the clients not in the same state but the others as well.

Clearly outline the goals of data governance, focusing on aspects that non-technical team members can relate to. Explain that data governance ensures that data is accurate, consistent, and accessible, leading to better decision-making and more efficient processes. Emphasize that it’s not just about technical rules but about ensuring that everyone in the organization has the right data when they need it.

El aseguramiento de calidad de los datos son esenciales para poder establecer la relación directa o indirecta de lo para mí llamo la unidad única de medida y de referencia que me permite garantizar que los datos coinciden perfectamente con ese proceso único bajo la ecuación del indicador correspondiente de acuerdo a los criterios y lineamientos del negocio o cliente para poder establecer un valor correcto a los datos utilizados

I emphasize that data governance is not just an IT responsibility but involves everyone in the organization. I outline how each team member’s role contributes to maintaining data quality and integrity, making it clear that their participation is crucial to our success.

La responsabilidad y funciones del equipo que interviene debe ser vista de manera interactivo y flexible porque juegan mucho la interpretación de los resultados según los indicadores y datos que están siendo analizados dónde hay hacer muchas consultas las cuales hay que ser abstracto las mayoría de las veces para mayor comprensión de la información adicional y eso involucra las visión de todos y de un equipo multidisciplinario

Clarify the roles and responsibilities related to data governance within the organization. Explain how everyone, regardless of their technical expertise, plays a part in maintaining data quality and security. For example, emphasize that correctly entering data, following established procedures, and being mindful of data privacy are crucial contributions to data governance.

Ter clareza na fun??o que estou exercendo é fundamental, pois isso evita que ocorra distra??es com entregas que de forma indireta esteja fora do escopo inicial. é saber com clareza o inicio, meio e fim.

When discussing data governance with a non-technical team, focus on its role in reducing risks: 1. Legal Compliance: Data governance ensures adherence to regulations (like GDPR), preventing legal penalties and costly fines. 2. Customer Trust: Proper data handling protects against breaches, maintaining customer confidence and avoiding reputational damage. 3. Operational Risks: By establishing clear protocols for data access and management, data governance reduces errors and inefficiencies, minimizing operational risks. 4. Data Security: It safeguards sensitive information, reducing the risk of data leaks or cyberattacks.

Help your team understand the risks associated with poor data governance. Discuss potential scenarios such as data breaches, regulatory fines, and loss of customer trust, using straightforward language. Explain how good data governance practices can prevent these risks, protecting both the organization and its employees from negative consequences.

To explain the importance of data governance to a non-technical team, say that it keeps our data accurate and reliable, which is essential for making good decisions. It also helps us comply with laws and protect our sensitive information. Proper data management makes our work more efficient by reducing mistakes and saving time. It builds trust in the data we use, leading to better teamwork. Plus, high-quality data can reveal new opportunities and give us a competitive edge in the market.

For non tech folks., it is not necessarily about how good a tool or approach we bring in but it is more about what will be the impact., as long as we are able to showcase the value add, then non tech people will definitely embrace technology and data governance., Sometimes when business wants to bring in data governance, they oversell on the ETL / pipeline / processing., hence it is important to talk about the value add and how data governance can lead to data democratisation successfully., the kind of precise decision making is possible only when data governance is in production., we should talk business more to sign up non tech folks.,

Comunica??o é a base de uma equipe, com uma comunica??o construímos uma grande confian?a um alicerce bem estruturado garantindo maior empenho e satisfa??o no desempenho das atividades.

In my experience, very concrete examples help to communicate the value of well drafted data governance rules. Pick 2 or 3 examples from your organisaztion and point out in detail what is achieved, if the organization follows these rules. For example, who how you can build trust towards your customers and across departments by living a well drafted data governance.

Highlight the value that data governance brings to the organization. Show how it leads to more reliable data, which in turn drives better decisions, increased efficiency, and competitive advantage. Share success stories or examples where good data governance has led to positive outcomes, making the benefits tangible and relatable.

Aunque parezca extra?o los datos también evolucionan en función al crecimiento del mismo generando la oportunidad de diversificar el modelo de datos iniciales permitiendo con el uso de nuevas tecnologías y métodos de estudio establecer nuevos indicadores que van abriendo el camino para un mejor y mayor uso de un análisis predictivo muy propicio para nutrir de información a la inteligencia artificial, así que es primordial el aprendizaje continuo

Fornecer treinamentos e o aprendizado contínuo s?o fundamentais para conscientizar a equipe n?o técnica, esclarecendo assim conceitos e estabelecendo responsabilidades sobre o uso e integridade dos dados.

Data management should be active participants in all meetings and be sure to suggest tracking any data points as they come up or to suggest better Key Performance Indicators whenever possible. As data managers it's our job to inform others that the proper information may be useful for reporting, garnering trends, and even automation that the organization may not have considered or may not even know is possible. Providing training guides and data theory can help, however the usability of the proper data points, validation, and automation should be presented in context to aid in the reception of more efficient methods and data sets.