Data Integration - Advantages,Tools, and Hurdles

loyal customers are some of the benefits enterprises can gain with customer data integration.

Fremont, CA: Data Integration is gathering and collating data from different resources. It offers a unified structure or view of the combined data to manipulate operations, leverage analytics, and build statistics. Notably, integration is the first step towards transforming data into more descriptive and important data. There are mainly two types of data integration—enterprise data integration and customer data integration (CDI).

Enterprise data integration is a set of technological instructions that help to manipulate data over two or more data sets. As the name suggests, it typically involves acquiring data from diverse business applications and crunching them to perform various management functions and business intelligence reports. At the same time, for a company to flourish, its main goal must be to fulfill customer demands and decipher their needs and preferences. So, CDI is nothing but the process of collecting and manipulating customer data among numerous multiple sources and framing data in a unified way so that it would be easy to share among every member of that firm. Predictive insights, improved customer service, and loyal customers are some of the benefits enterprises can gain with CDI.

With the increasing volume of data gathered through various sources and at a much faster velocity every day, it is obvious that data has been the most valuable possession for enterprises.  Businesses are very keen on implementing various strategies to utilize the data completely for applications as needed. Still, the natural question is how efficiently that can be done. So, let's understand what it means—the problem with such a huge quantity of data is also quite extensive. Today, nearly 60 percent of firms lack a properly functioning business strategy, resulting in damaging effects. Data integration tends to solve this issue quite effectively by doing a real-time view and analysis of the data, thus collecting various targets.