Business architecture is a critical — and typically missing — bridge between strategy and execution. Organizations should leverage it to translate strategies and other business direction and collectively architect, prioritize, and plan actions to be taken from a business-driven, enterprise-wide perspective. Indeed, business architecture and business architects contribute unique value across the strategy execution lifecycle, as well as connect other teams and help them be more effective.

The volume of data available within an enterprise — and externally to it — is phenomenal. As a consequence, the role of information architecture has evolved, from the passive structuring and managing of data to a smarter, more active role of information effectiveness.

In my coaching, it is incredible how much pushback I receive on the idea of demoing your architecture. It seems Agile teams are comfortable demoing end-user functionality, but incredibly uncomfortable when you ask them to demo architectural elements.

As data becomes an increasingly large factor in every¬day living — overcoming organizations with a tsunami of new information — how can we cope with all this data alongside our legacy transactional data and make sense of it all?

In this Advisor, we consider two scenarios — investment planning and digital transformation — where using a capability model as a foundation for delivering information can be valuable.

Defining, designing, implementing, and managing cross-organization collaborations and ecosystems requires a new mindset, solid architecture, and effective end-to-end execution of business direction. Business architecture and business architects are perfectly suited to help with all three.

Data architects need to strike the right balance between addressing data stakeholder pain points and gathering information to build and enhance the data architecture. The triad of people, process, and systems (technology) transforming cohesively are the ingredients for the secret sauce that can provide a practical way of managing the enterprise data architecture. In this Advisor, we examine these influences on data architecture.

We are now well into the depths of dealing with the current situation. In assessing performance in the face of uncertainty, have you identified and inventoried the capabilities, including ones that you barely knew existed within the depths of your enterprise? Can you use this learning to build a more Covidian architecture that will withstand future assaults that could be worse than the one we have been going through?