Why is data integration important?

The amount of data arriving from various sources is constantly growing. Companies and organizations, in particular, are witnessing a huge increase in data. It is a huge challenge not only to organize them, but most importantly to extract valuable information from them. Why is data integration so important and how to carry out this process in your company?

What is Data Integration?

Data integration is the process of combining data from different sources into a single, unified view. Integration begins with the data retrieval process and includes steps such as cleansing, mapping and transformation.

The goal of data integration is to bring together and systematize in one place information relevant to the management of the organization. Data integration affects data quality – the better the quality of the data, the more valuable information we can get from it.

Importantly, there is no one-size-fits-all approach to data integration. We should look at the process holistically, taking into account the individual needs of each business. The answer to the question of what data integration is closely related to data quality, where the concept of high-quality data refers to those from which we can get valuable information.

Integration involves processes, technologies and people, so in a holistic approach we can talk about such elements as:

• data integration architects – people responsible for data integration,
• data integration platforms – the place of data integration,
• data integration process – the actual process of data integration.

What does data integration give companies and how to implement it?

There are many more benefits to companies from data integration than just getting a consistent view from which we can extract information. By integrating data, we gain more valuable information, which in turn translates into aspects such as increasing a company’s competitiveness or improving employee efficiency.

How to carry out data integration in a company?

There are various techniques for data integration, but the most important is (again) a holistic approach. We need to start by examining the needs of a specific business, which will allow us to identify specific data quality requirements. Only then can we move on to data system architecture and integration system design. The next step is the actual implementation of system integration. However, remember that successful integration requires further maintenance by the specialists who implemented it. Only then will we have a chance that the integration will result in improved data quality in the company. We also need to ensure that all employees know how to use it.

Successful integration means valuable information available to all company employees.

Data integration tools – what you need to know?

Data integration is all about restoring what we call data health. Data health refers to data that is consistent and carries value. Various tools are used to integrate data, and data systems integrators are responsible for making them work. This is where data integration technologies, which are technological solutions for integrating systems, come into play.

At BlueSoft, we use the latest technologies that we customize to meet the needs of your business. The tools for the integration process are selected by specialists with years of experience to help companies gain a competitive edge.