Now, in order to successfully identify ways of mining data from different sources and collating it to generate accurate, sensible, and useful information, you will need individuals with the following qualities: 

Data integration can be defined as the process of combining data from different sources to form logical and valuable information by using both technical and business procedures. This process, however, comes with its own share of concerns. 

When a systems integrator selects a data integration tool, it needs to consider a number of selection criteria.A key criterion for vendor selection is systems compatibility.The selected tool must foremost be able to interact with the specific systems that the customer's company uses in the project under consideration.

Data integration is fundamental when companies use more than one system. Data integration is the process of transferring data located in various data sources to other data targets. Data integration and collaboration between data systems and processes is vital because it allows processes to work faster and be more reliable and robust.