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EAI (Enterprise Application Integration) Explained for Non-Developers.
What is EAI, and what strategies can you use to integrate enterprise applications? We make it all clear and easy to follow.
Blog
What is EAI, and what strategies can you use to integrate enterprise applications? We make it all clear and easy to follow.
They still exist in many companies: isolated IT applications that don’t communicate with each other. Data has to be laboriously transferred by hand, business processes run slowly and with interruptions, and important decisions are based on outdated information. The result? Inefficiency and high costs. The solution? Enterprise Application Integration – an approach that connects all business applications and enables seamless communication between ERP (enterprise resource planning), CRM (customer relationship management), BI (business intelligence), SCM (supply chain management), and other business-critical application systems.
In this article, you’ll learn what EAI is, what advantages it offers, and what strategies you can use to successfully implement the integration of enterprise applications within your business.
EAI refers to the various methods, processes, and technologies that help to connect different enterprise applications into an efficient overall system (integration).
EAI aims to break down data silos – i.e. systems that are isolated from each other – thus helping to streamline the exchange of data between applications. And it does so regardless of which programming language or communication protocol they use or which platform they run on.
EAI can be implemented in a wide variety of ways. As the individual underlying architectures differ in terms of their structure, efficiency, and scalability, the selection of the appropriate model depends on the individual requirements and the existing IT infrastructure of a company.
With point-to-point connections, applications are connected directly in order to exchange data bilaterally. Each application requires a dedicated interface for each connection to another application.
This can be a cost-effective and fast integration option for less complex IT landscapes with a small number of endpoints.
However, as complexity grows, scaling P2P architectures becomes challenging since a new interface must be built for each additional component. Maintenance is also very time-consuming – changes in one system usually also entail changes in all connected systems.
In the so-called star architecture or hub and spoke model, a central node (hub) handles communication between the connected applications (spokes). Applications share their data exclusively via the hub.
Compared to point-2-point integration, the hub-and-spoke model has one clear advantage: instead of setting up numerous interfaces in each individual application, new systems only need to be connected to the central hub.
However, this can also become a problem, for example if the hub breaks down and, as a single point of failure, all connected systems are suddenly no longer able to communicate with each other.
The service bus architecture has a similar structure to the hub-and-spokes architecture, but unlike the hub as the only control point, it enables distributed control. Methods include:
These approaches help to decouple systems. For example, if there is a change in one application, this has less impact on other applications. ESB integration is also very flexible, as a wide range of communication protocols such as REST, SOAP, or MQTT are supported.
However, setting up and maintaining the architecture is very complex and cost-intensive. A powerful setup with options for load distribution is needed to prevent performance problems, for example if too many messages have to be processed at once.
With API-based integration, applications communicate with each other via programming interfaces (Application Programming Interface, API). If required, the API is called via an API gateway, which forwards the request and also manages the delivery of the response. In contrast to Enterprise Service Bus, the API-based architecture does away with the central node and instead creates a network of applications and systems that are completely decentralised.
Thanks to the decentralised infrastructure, new systems can easily be added to the network via APIs. If an application fails completely, it has no or only limited impact on other connected applications and systems. APIs also enable high-performance, real-time communication and are ideal for modern cloud or hybrid environments.
However, it’s important to remember that API-based architectures call for good API management. API design and documentation are just as important as the security and maintenance of the APIs used.
Modern enterprise application integration with an ESB or API-based architecture offer various advantages to help companies stay competitive.
Gone are the days when customers were manually in each individual system. Or when a department updated customer data in the CRM without having to update the ERP system. Data and application integration synchronises data across systems. This means that all departments, whether marketing, sales, accounting, production, or logistics, can access the same up-to-date data, which greatly reduces the susceptibility to errors.
When applications and systems are interconnected, automated workflows and business processes can be established across departments.
So, if a customer places an order in an online store, for example, there’s no need for the team to manually generate the invoice, look up shipping address details, update inventory levels, or send an email to the customer.
Instead, when the order is placed, the stock is automatically updated in the warehouse management system, the order data is forwarded to the ERP system for invoicing, and order and shipping confirmations are sent to the customer – all without errors in quantities or item numbers, which greatly improves data quality.
Whether on-premises, hybrid, or in the cloud: new systems can be quickly and easily integrated into your own IT infrastructure. This enables companies to respond to changing business requirements with greater flexibility.
A decentralised EAI also makes it possible to integrate legacy software and old systems into a modern environment and use the data collected there.
Data integration provides a 360-degree view of customer and partner data, production, warehouse, and delivery information, as well as sales and marketing KPIs and much more, synchronised almost in real time.
On the one hand, this creates a sound database for reporting to managers so that decisions can be made on a data-driven basis. On the other hand, transparent data analyses make it much easier to implement legal regulations and compliance guidelines.
All the advantages mentioned above help to save costs: breaking down data silos improves collaboration between departments, saving time and money. The automation of business processes also frees up working time for other important tasks. In addition, errors caused by manual data processing, which can become expensive, are eliminated.
Cloud integration reduces the maintenance effort of individual systems and thus saves IT resources. Last but not least, the risk of fines due to a lack of compliance is significantly reduced.
Successfully implementing EAI requires a balanced mix of technical expertise, strategic planning, and a solid understanding of your organisation’s specific IT needs. Companies should therefore draw up a concrete plan as to which EAI architecture is best for them and which requirements any integration solution should fulfil.
Before starting with the actual integration, a detailed list of all systems used must be drawn up. Organisations should ask themselves the following questions:
Point-to-point, hub-and-spokes, enterprise service bus or API-based? The choice of EAI architecture depends firstly on the size of the company and the number of applications used, and secondly on the company-specific requirements for the architecture.
If companies do not have the internal know-how and development resources to implement EAI efficiently in-house, they should opt for one of the EAI solutions available on the market. A good EAI system fulfills the following requirements:
Wondering how to find a solution that meets all of the above requirements and more? Look no further: you’ve found Lobster!
Our cloud-based Integration Platform as a Service acts as a middleware, i.e. a bridge between all your disparate systems, ensuring smooth data exchange and transformation of all common data formats and industry standards.
Best of all, you don’t even need programming skills to create integrations. Simply use our numerous ready-made connectors and templates for interfaces to connect systems such as SAP-ALE, IBM Data Queue, X.400 or WebDAV. Conveniently, database integration with Lobster (e.g. MS SQL, Oracle, MongoDB, etc.) is based on drag-and-drop.