Data Integration – The combining of data from different sources into one source.
If you are a systems analyst, data integration may become second nature at one point, however until then, it can take some practice and reassurance that everything has been integrated correctly and thoroughly. Data integration often includes working with an application programming interface (API), which is an interface which allows two applications to interact, or talk, with each other. Having a reliable systems design that integrates disparate and distributed data can help data be read in a new and unique way. Aren't you curious to see what your newly integrated data could reveal? This could help your business gain new insights and advantages, and therefore increase business performance. Before any analytics can be performed on data, it must be integrated properly, which is why ensuring that you have integrated your data properly is significant.
Problems & Difficulties of Data Integration
Some problems could include: uncertainty of data, management, syncing across data sources, finding insights, and skill availability.
How Do I Ensure Reliable Data Integration?