Data Integration: Ultimate Guide

Data, as a very general definition, is the raw form of information. Today, with the development of technology, the number of data is increasing day by day. Big data means very large, complex and poorly structured data. This concept was originally used to express the volumetric size of the data. But later on, it emerged as a concept that expresses the magnitude of all processes from the storage of data to its transformation into information.

Big Data, which covers all kinds of data from spreadsheets to databases, servers to cloud services, has evolved into systems that can be used by businesses today and that support company managers to make decisions through reporting systems.

What is Data Integration?

Data integration represents the business processes performed for combining and connecting data obtained from different channels, software and applications. Businesses use various software and applications in different business processes. Data transfer is an important process so that the data obtained from these different applications are not lost and used effectively.

Data integration is the technical business processes used to combine the data obtained from the application, software or system into meaningful and valuable information.

Purposes of Data Integration

With the acceleration of digital transformation in the 21st century, the number of software, applications and systems used by businesses has increased. The number of data obtained by businesses from the applications they use has also increased over time. But it should not be forgotten that unprocessed data does not make sense. In order for an enterprise to benefit from the data it obtains, it must process and make sense of this data.

Data integration comes into play here. The purpose of data integration is to ensure that the data obtained from different sources are transmitted to the correct channels. Another purpose of data integration is to prevent data loss.

Why is Data Integration So Important?

The wind of digital transformation has affected many businesses. It is a fact that new competitive options emerge with digital transformation. The purpose of digital transformation is to increase customer experience by improving business processes and growing business. Of course, digital transformation cannot be measured by the number of applications and software companies use.

The success of a company in digital transformation can be measured by how much faster and digitalized its old business processes after the applications and software it started to use. For this, the data in the software and applications used by that enterprise should be made meaningful as a whole. This shows us the importance of data integration.