Enterprise architecture (EA) defines how an organization will meet future business challenges. Begin to develop stability into the organization by creating enterprise architecture. Architecture details several abstraction layers to form a complete and common view of data, guidance, and direction. Together these advantages form the guardrails for solutions, considering what’s best for the enterprise by adding guides and constraints to those solutions. In this context, here is an analysis of some disruptive trends that positively impact enterprise architecture.
The digitization and automation of operations are key to improving customer journeys and offer new, more efficient services. Besides, the move to an API-based architecture facilitates exchanges and allows a flexible architecture. Simultaneously, combining an agile approach has become vital for organizations in assisting them to respond to changing marketing conditions and plan resultant new growth and evolution opportunities. With customer journey maps, enterprise architects can embrace an outside-in method by mapping customer touchpoints to the enterprise and link them to internal business operations. By doing so, architects can envision the customer experience before modeling business operations. This method is key to modernize existing processes and automate customer journeys.
Using data is a vital component of every company’s evolution strategy. In addition to gathering, storing, organizing, and protecting data, enterprises need to analyze data and spot trends to scale business innovation. Further, firms need to ensure they meet the data privacy compliance needs of the General Data Protection Regulation (GDPR). EA facilitates this by establishing data dictionaries, mapping semantic models to develop a business representation of data exchanges, and modeling existing databases. Business data can then be combined to logical data so that architects can evaluate the effect of a business change to tackle continuous market shifts.
Another trend that is affecting EA is the use of digital twins. This new concept consists of developing a firm’s digital replica to streamline its performance and associated processes. Digital twins use real data to validate models, correct them, and emerge them so organizations can enhance the process of business transformation. Enterprise architecture models that encompass enterprise, application and technology layers can be improved with real data.