Why do you need to have a data integration plan?

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Data integration combines information from multiple sources into something useful. Efficiently manage data and make it available to those who need it. Discover 8 reasons why your business needs an edata integration plan.
Companies are beginning to understand the benefits of having a data integration plan . They need their data to be useful and to do so, the data has to be integrated. Although it is obvious, in many cases, companies have not prioritized this issue until they discovered the harmful consequences of the lack of information integration.

Data integration is about combining information from multiple sources into something useful. It is about efficiently managing data and making it available to those who need it . Some define it as the process of discovering, cleansing, monitoring, transforming, and delivering data from a variety of sources. Below are 8 reasons why data integration is essential for technical and business practices.




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1. Each type of data has its strengths
Each data format was designed for a reason. Each represents information in a way that no other format can, with unique attributes, metadata, structures, and schemas. A data integration plan allows different levels of specialization to be added to the data set.

For example, in a CAD project, CAD and GIS (Geographic information system) data can be integrated to enhance a CAD drawing with specialized GIS attribute information. A GIS mapping system is an example of a CAD-GIS data integration project.



2. With a data integration plan you can take advantage of the benefits of specialized applications
Similarly, every application is designed for a reason. Every piece of software that works with data represents, analyzes, and transforms data in a specialized way.

By integrating data into a format that is accepted by that application, you are giving yourself the ability to open and use that data in that software. The data integration plan allows you to freely convert between formats and open the data in its original application.



3. Reduce data complexity
The number of potential interfaces between applications in an organization is an exponential function of the number of applications. Thus, an organization with 1,000 applications could have as many as half a million interfaces.

Creating a data integration plan is like breaking into that network by making your way through it. Data integration is about managing the complexity , simplifying those connections, and making it easy to deliver data to any system. This can involve creating a data hub where it's easy to publish and subscribe.