Handling data is the core activity of both application and data integration. The main goal is the same: make the data usable, accessible and functional for the data users. The processes translate data from several sources and transform it into a new data set.

Although data integration and application get treated as one and the same, it’s an incorrect conception and can lead to miscommunication inside the organization and one of the processes can be neglected all at once, when both should be working together towards the goal of making the data set accessible.
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Data sharing and storing by companies became part of the routine, it’s something that they do every day, despite the issues that can be found along the way. Most businesses deal with several data management systems, which automatically translates into a variety of data formats that need to co-exist, and to do that, they use data integration to combine the data types and formats into one single location.
 
Data integration technologies make the job of making all those different data formats co-exist in a single place, commonly called a data warehouse, in which the company will be able to use the data to gather insights, support the decision-making and help to fix any possible issues.

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