Data integration

What is data integration?

Data Integration Definition

Data integration is the process of combining data from more than one source to provide users with a unified view of data, delivering information that is valuable and meaningful. Integrated data is easier to manage and use than data from disparate sources. So, what is data integration and why is it so important? Integrated data solutions are systems or applications that transform various types of data from several disparate sources, combining them in a way that increases their usefulness across business functions or processes. The process of data integration is especially crucial in an era where “big data” and analyzing that data has become increasingly important to business functions.

Data Integration Explained

For the most part, data integration helps businesses process large amounts of data by analyzing and aligning the data sets into a format that fulfills process objectives. As data increases, the ability to manage, analyze, and align data is increasingly important. Since business data can come from so many disparate sources, the ability to make sense of it can help companies improve visibility, increase data-driven decisions, and helps reduce wasted time on information searches.

Examples of Data Integration

Data integration solutions can be crucial tools to help sustain and grow your business, producing reports and seamlessly analyzing and combining data that help employees and managers stay informed and make better decisions. For example, data integration helps sales teams meet their quotas and meet customer expectations by allowing them to view the latest information or data about support tickets, customer insights, or sales content together in one place.