Enterprise Service Bus: The Data Carpool
Digitalization also involves the intelligent networking of different ERP, special, and cloud applications by various manufacturers into a single functionally integrated application. To do this, data must be exchanged between the sending and receiving interfaces of the standalone applications by means of logical and physical connections (adapters) in real time. This type of network architecture is known as an enterprise service bus (ESB). The bus principle is usually based on events and what are known as data subscriptions: Systems and applications selectively subscribe to information from a different source, which is then delivered to subscribers in the form of data packages via the bus. The advantage of this architecture is that solutions integrated solutions by means of the ESB can be adapted quite easily to changing conditions.
ESB technologies: Connectivity as a prerequisite for structural agility
But ESB architectures are more than just a prerequisite for dynamic digital business models: They can also reduce the integration or carve-out effort required for M&A transactions, for example. GAMBIT’s team of experienced and qualified consultants advises customers on issues ranging from the selection of suitable ESB software, through implementation, testing, and testing support, to quality assurance for the often complex documentation of “bus routes.”
Real-time connection between ERP systems and cloud applications
Connections between ERP systems or between ERP systems and directly connected surrounding systems are already standard today. The same is true for EDI-based data exchange beyond the boundaries of your enterprise. Classic point-to-point connection types quickly reach their limits when it comes to real-time connections between ERP and cloud applications, especially when connections no longer run in one or two directions only but need to run in multiple directions and in real time. By using multitiered ESB architectures, it becomes possible to trigger additional chains of rules in parallel to the internal procedures, thus allowing data to flow between an unlimited number of systems in real time.
ESB technology supports big data and analytics
Growing digitalization means that the volume of business information and data is increasing exponentially. Continuous data transport with parallel storage of large data volumes in different systems, applications, and databases is practically impossible to sustain in the long term. New “smart data” protocol formats make it possible to search for, collect, and evaluate data across applications at runtime and send just the results of the analysis back to the requester, without having to store any data persistently. High-performance ESB systems primarily support big data analytics and cloud analytics as well as complex machine learning and deep-learning applications using artificial intelligence algorithms.
- ESB can be used to connect on-premise and/or cloud applications into a powerful, future-ready integrated process.
- ESB architectures are a prerequisite for powerful digital business models.
- The ESB network architecture enables the acquired companies in an M&A transaction to be connected faster, by eliminating a large part of the integration effort for administrative and reporting processes on the IT side.