High-level architecture diagrams offer crucial insights into data flow and connectivity within organisations. They enhance clarity, facilitate collaboration, and promote scalability. Adopting standards like BPMN can streamline processes, while tools such as Microsoft Visio aid in creating these diagrams. Regular updates ensure accuracy, supporting effective data governance strategies.
Tag: advice
How Should We Classify Data – A Quick Introduction to Data Classification
This post emphasises the importance of data classification within Data Governance, highlighting four potential classification levels: Public, Internal, Confidential, and Restricted. It stresses contextualising classification based on industry standards, steps to classify data, and the necessity of inventorying assets. Automation tools like Microsoft Purview facilitate consistent data management throughout its lifecycle.
Metadata: Unlocking the Power of Data Context
Metadata, or "data about data," is essential for managing organisational information, categorised into technical, business, and operational types. It enhances data discoverability, usability, and compliance, while ensuring alignment with business objectives. Effective management involves tools and stakeholder engagement, promoting transparency and efficiency across data systems and governance frameworks.
How to Foster a Culture of Data Ownership and Accountability
Data ownership and accountability are fundamental to a robust data governance framework. Without clear ownership, data can become disorganised, inconsistent, and vulnerable to misuse. Building a culture of data ownership and accountability ensures that data is managed responsibly and contributes to organisational success. Here's how to instill this culture within your organisation. Define Clear Ownership…
Data Governance Pitfalls: What to Avoid When Building Your Framework
Effective data governance frameworks require executive support, defined roles, simplicity, user involvement, appropriate tools, and regular reviews. Organisations often overlook these aspects, leading to ineffective governance. By addressing common pitfalls, they can establish a robust framework that ensures efficient data management, compliance, and alignment with business objectives.