What is data integration carried out in real-time? It is a process where databases and applications are connected in a way that ensures that if data in one system is changed, it updates all others in the chain simultaneously that is, in real-time.

The point now is what is the need for real time data integration.

Any organization needs timely and accurate data-based information for data analytics, adding value to their products and strengthening business and customer relationships. The more agile and responsive a company the better will it be able to grow exponentially and face fierce competition and meet customer expectations. For all these to happen, updated data is required at all times. Real time data integration makes sure that the decision-makers get updated data regardless of the source where modifications might have been made as the database is restructured across applications.

This has become a critical need in the modern business environment as not only large enterprises but small and medium-scale organizations too operate multiple applications which run simultaneously in the cloud, in data centers in various locations, or on-premises.

There are several reasons why real time data integration is now a critical part of modern-day businesses.

First, it ensures economical and efficient transfer of data by moving a single record and not an entire batch. Thus, the process is not only efficient but also money is saved in cloud environments because charges are applicable only on the quantum of resources used.

Again, real time data integration ensures excellent customer engagement. A very common example is that of a real-time integrated CRM programmed to trigger an email to a customer after a purchase is completed.