What is digital architecture, and what are its aspects? How can they be woven into a digital experience? Consider the following design patterns to implement a digital experience: Function at speed, Provide hyper-personalization, and Safeguard data. In this article, you’ll discover three design patterns that are essential to creating a successful digital experience. Read on to discover more. We’ve all heard about omnichannel, but how do we create a consistent experience across all customer touchpoints?
Design patterns for digital architecture:
A design pattern is an abstract model that describes a solution and its initial state before applying the pattern. These models usually include guidelines for implementing a solution, variations, specializations, and trade-offs to be considered. A pattern is typically composed of two components: the rationale and the solution element. The rationale provides an in-depth explanation of the solution’s internal behavior. While the solution element is what describes the external structure and behavior of a solution, the rationale is what explains its inner workings.
Function at speed:
In the digital age, an enterprise must operate with interconnected elements, hyper-personalization, scalability, and frictionless customer experience. It must also protect customer data and privacy and deliver value-added experiences. This requires a continuous evolution of digital architecture, which should be a process based on research, strategy, and innovation.
To deliver a truly personalized experience, your digital architecture must support the entire customer journey, including all of their interactions with you. This means collecting context in real-time and mapping each customer’s journey throughout the journey. Providing hyper-personalization requires real-time, 360-degree customer centricity and access to “right now” customer data. Hyper-personalization requires the ability to understand the customer journey and optimize interactions based on the information it reveals.
The use of encryption for sensitive information has become a critical security tool that can prevent hackers from accessing data. Data encryption is a core component of many security strategies and is explicitly required by a large number of compliance standards. Other safeguards for data can prevent data loss, including physical redundancy. Physical redundancy can protect data from outages, disasters, and even attacks on local servers. Physical redundancy can be performed within a data center by replicating the data to another site, or in the cloud.