Approach & Principles

A need to scale

The explosion of data volumes, complexity and speed of change means that architects and technology leaders must now consider many more factors in data management than in a typical big data approach.

A high level of ambition to create value from data requires an architecture not just of technology and processes but of platforms, organisational and culture and wider principles that are required for an organisation to thrive as a data-driven business.

Radical Decentralisation

To adapt to this need for scale, organisations must start on the journey towards decentralisation of their data capability from  central teams towards federated domain teams that are responsible for their own data products.

It requires attention to the complex trade-offs inherent in breaking up the data landscape into relevant, manageable concerns and deep understanding of what must be centralised as a global activity versus all else that can be radically decentralised.

Set the conditions for success

If the first principle is radical decentralisation of data into autonomous domains, then the second principle must be to set the conditions for success for the domains to flourish.. 

This requires establishing leadership for the domains to grow independently, setting up platform technology for the domains to build upon and a cultural and organisational environment that avoids silos forming. Data Architects are less concerned with designing individual data solutions than designing how the domains will work together to provide interoperable data across the enterprise.

Architects must therefore build global policies and strategies that are woven through the domains yet nonetheless grant the independence for the domains to operate autonomously.