Cloud services, PaaS, SaaS, on-premise applications: The IT landscape consists of more and more heterogeneous systems. Network your applications and data seamlessly, even beyond company boundaries.
This gives you a unified and consistent view of all data, avoiding duplication and idle time - in real-time if necessary. You reduce complexity while gaining more flexibility.
Once integrated data is easily accessible, it provides the perfect foundation for new AI and machine learning solutions. For example, to provide your customers with personalized offers using pattern recognition.
What is the difference and what do you need?
Data Integration summarizes data in a uniform view and prepares it for the most efficient access. It provides a holistic overview of the company's data assets.
Application Integration ensures efficient and uncomplicated interaction between the systems in use. This is because cloud and on-premise applications must work together to create the greatest possible business value and enable innovation.
In a modern infrastructure, both issues are addressed as required with the support of lightweight «best-of-breed» components. «One-Size-Fits-All» solutions are better avoided.
The boundaries between the two disciplines are becoming increasingly blurred and they are moving closer together in organisational terms. This allows synergy effects to be exploited.