Here are four main benefits of event-driven architectures and the main reasons why more and more organizations are embracing them.
PROCESS STREAMING DATA IN REAL-TIME
Applications are at the forefront of tremendous pressure to digest larger volumes of data quickly and cost-effectively so this data can generate real-time business decisions like those linked to internal business process automation or even industrial process automation.
An event-driven architecture enables businesses to capture events as they occur and process complex multi-step decisions in real-time. This capability will maximize and application responsiveness and enabling businesses to ensure improved customer experience and optimized network utilization converting event interactions into stronger profits.
REDUCE OPERATIONAL COSTS
In the distant past due to limitations of network capacity, enterprises implemented batch processing application systems whose role was to continually collect the data and then at periodic intervals process the data in batches. However, increased network capacity enables data to move at a much faster rate such that if the event is not processed immediately, the event will remain unprocessed.
By converting our business processes into event-driven architecture, we have eliminated the need for these batch processes, but instead, we have enabled a continuous flood of data that is being processed as it is generated.
As a result of this approach of continuous processing, it allows the organization to achieve very predictable response times and processing scalability. The end result of this is the reduction of the amount of infrastructure needed to periodically process a large volume of data. This culminates in reducing the operational cost of extracting value from the data and increases overall efficiency, productivity, and profitability.
SCALABILITY
One of the benefits of a distributed event-handling architecture is that it can scale as the number of overall entities that are generating events is increasing. Thus, when compared to older monolithic solutions, a distributed architecture solution can scale according to the needs of the data, whether it is the amount of data or the number of events that need processing.
ENHANCED CUSTOMER EXPERIENCE RESPONSE
By being able to do real-time analytics, organizations can identify emerging patterns as they are evolving and respond as events are unfolding.
This results in a dynamic approach to customer experience and customer management. It makes it easier to meet consumers’ expectations about event personalization without missing the moment of engagement.