As a business owner, it’s important to know that your data sources are the heart of your company. Taking full advantage of your valuable data is the best way to make smart business decisions and reach your goals. Several different types of software deployments are designed to extract useful insights from your business’s rich data sources. The trick is to find the right software solutions that meet your exact business needs.
One incredibly popular data analysis deployment is Event-Driven Architecture (EDA) software. EDA refers to a specific organizational pattern that builds a structure from your business’s data sources. The foundation of this software structure is the “events” in your business data. These events include various types of customer interactions. Tracking these events in real-time is the best way for you to streamline your team’s workflows, which is especially important for your customer support team.
1. Tracking Customer Transactions
The goal of EDA is to move past the need for data lakes and request-based data sources. Modern EDA utilizes automation to track any events that occur on your webpage so your team can react in real-time. The first event driven architecture example is deployments for tracking transactions. When a customer begins and/or completes a transaction, your team will receive an event notification. This event notification not only informs your team of the transaction, but it allows them to act upon the event source. Your team will be at the ready to ensure the customer has everything they need. This increases the number of complete transactions, and it can also help promote larger transactions from your customers.
2. Tracking Customer Service Event Messages
One of the most important aspects of a powerful architecture pattern is the efficient tracking of customer service event messages. While event streams largely depend on automation and tracking interactions with your webpage rather than with your team directly, customer inquiries are essential. When a customer reaches out to your support team, you’ll want your employees to be ready and informed. This way your team can perform microservices for your customers directly to improve their experience. EDA is all about preparedness, and out of all of your event channels, arguably the most important stream of events are the direct customer interactions.
3. Tracking Online Cart Abandonment
Abandoning carts is extremely common customer behavior. There are numerous reasons why a customer may leave your site before checking out. Effective EDA integration can help your team prevent this from happening. This use case is critical to your operations, because the more time that passes, the less likely a customer is to return to your site and complete their transaction. Cart abandonment can be considered a complex event because it requires several different levels of employee intervention to prevent or remedy. Not only can EDA help your team be prepared for this complex event processing, but it can also automate several of the customer interactions required to resolve the issue.
4. Tracking Site Visits
The final event stream use case for EDA deployments is tracking site visits. This is a very simple example of an architecture pattern for your operations because it’s largely dependent on automation for the entire process. EDA sensors on your business’s website can detect site visits and subsequently create a new event in your event queue automatically. This efficiently informs your team and is typically the starting point for a larger series of events. The hope is that this event stream results in a completed customer transaction. While this event channel on its own doesn’t require employee intervention, it allows your customer support team to be prepared for future, more complex events.
