Here's how you can advocate for more resources to boost data governance in your organization.

The first step is to understand the current needs of your organization regarding data governance..! It’s Important thing Take a look at where the gaps are and what kind of challenges people are facing with managing data. This will help you see why more resources are necessary and It will be helpful.!

O entendimento das necessidades de governan?a de dados dentro de uma companhia exigirá mais recursos. Por isso, entendo que um assessment seja mais parte do "como fazer". Uma estratégia inteligente é buscar patrocínio executivo através de quest?es relacionadas ao "porquê fazer". Alguns exemplos: mitigar multas ou inconformidades com a legisla??o vigente, escalar algum benefício para o negócio ou evitar desperdícios operacionais significativos. N?o é factível buscar investimento sem vincular algum valor alinhado com a estratégia da companhia.

Start by comprehensively understanding the data governance needs of your organization. Conduct an assessment to identify gaps, risks, and areas needing improvement. This insight will form the foundation of your advocacy.

Look at the data management from the decision management theory side of things. By understanding decision theory and decision management models you'll learn how to make data serve one of it's primary purposes: enable timely and accurate decisions. One of the first steps to understand the need is to identify what decisions your stakeholders need to make based on the data and use this information as a north star for building your business case.

To effectively argue for resources in data governance, it is critical to first assess the organization's needs by reviewing the existing data management landscape. Determine shortcomings, such as inadequate software, insufficient personnel, or a lack of training. For example, poor CRM data quality might result in higher return mailing costs, and missing links in product master data can cause product lifecycle management to take longer. Understanding these indirect costs and operational inefficiencies enables you to make a persuasive argument to stakeholders, emphasising how smart investments in data governance can reduce risks and improve long-term financial outcomes.

Align the data governance objectives with the overall business goals. Demonstrate how enhancing data governance supports the company's strategic initiatives, such as improving data quality, ensuring compliance, and driving business intelligence.

To get management support for data governance, give actual business cases that show prospective financial gains. While direct stakeholders may not realise immediate financial gains, emphasising long-term financial improvements is critical. Effective data governance improves decision-making, increases operational efficiency, and decreases risks, all of which lead to long-term cost savings and revenue growth. By linking data governance initiatives to strategic business outcomes, we can make a convincing argument for their importance in generating long-term organisational success.

Develop compelling business cases. Use data to show the potential benefits of enhanced data governance, such as reduced risks, cost savings, and improved decision-making capabilities. Highlight examples of how other organizations have successfully leveraged better data governance.

There are some techniques you can use to justify the case: > Anecdotes, which are basically failure stories from other companies or event your current client or business. By presenting real problems which have already happen it is easier to get future buy-in. > 5 Why's to identify root-causes of data issues > Cost-benefit analysis to understand potential gain versus the amount of effort required > Business process impact: trace the impact of data to most critical business processes and model different scenarios, like not having data at all, having bad data or having good data > Research some data ROI techniques to calculate financial value of data I can recommend a book called Infonomics by Douglas Laney.

Identify and engage key stakeholders early in the process. This includes senior leadership, IT, compliance, and business unit leaders. Understand their concerns and interests, and tailor your message to address their specific needs and pain points.

Clear communication is vital. Use straightforward language and avoid jargon when discussing data governance. Create presentations, reports, and executive summaries that clearly articulate the value and necessity of additional resources for data governance.

Don’t just present problems—offer actionable solutions. Propose specific initiatives, tools, and processes that can enhance data governance. Show how these solutions align with organizational priorities and demonstrate their potential impact with pilot projects or case studies.

Importante ressaltar que n?o existe fórmula mágica para conseguirmos mais recursos para governan?a de dados. A cultura e o momento de maturidade da companhia ser?o determinantes para elabora??o de qualquer estratégia de sucesso. N?o se esque?a de aproveitar a jornada e aprender com cada intera??o corporativa. Crie alian?as fortes e mantenha seu time engajado. Avance aos poucos em dire??o à perspectiva de longo prazo criada sem perder a essência da área. Busque sempre metrificar as coisas, esse tipo de comportamento pode ajudar bastante a ajustar as rotas e a conseguir novos patrocínios.