In an earlier post, I discussed how a Data-Centric Architecture can address what we believe to be the core problem that adversely impacts business performance: inconsistency in core organisational entities.
In this post, I'll list the fundamental principles we have identified that ensure a data-centric architecture works.
Data Needs to be Consistent
Consistency is crucial. Agreed definitions must be used the same way across the whole organisation. For example, terms like "Product" and "Customer" should mean the same thing in every department. This way, everyone understands and uses data the same way, reducing misunderstandings and mistakes.
Data Needs to be Curated
Curated data is accurate, timely, and trustworthy. It's not just about having data but ensuring its quality. For instance, financial metrics like Net Profit must be kept up-to-date and correct to reflect the business's performance.
Data Needs to be Secured
Security is vital, especially given the risks of data breaches. Protecting private and sensitive data is critical. This requires establishing data security levels that provide adequate data access to the right people while ensuring no unwarranted or unauthorised access to private or sensitive data. Good security practices help maintain trust and comply with regulations.
Data Needs to be Accessible
Accessibility means end users can quickly get the data they need in a format that works for them. Data should be easy to find and use, whether through dashboards, reports, or direct database queries. This ensures that everyone who needs data can get it and make informed decisions.
Data Needs to be Governed
Effective data governance sets up rules and standards for managing data. Data governance includes establishing policies and procedures to ensure data quality, security, and compliance. Good governance helps monitor data usage and provides accountability, promoting a culture of responsible data management.
By following these fundamental principles, organisations can make the most of their data, improving business outcomes and fostering a culture of informed decision-making. A data-centric architecture built on these principles ensures that data is a reliable and valuable asset for the organisation.
Related article: Unlocking Efficiency and Consistency: The power of data-centric architecture.
