The Future Of Data Integration In 2022 And Beyond

By CIOReview | Thursday, May 19, 2022

There is a growing need to understand the concept of Data Integration procedures and tools that help preserve the data quality of the businesses.

Fermont, CA, : Data Integration combines data from several sources and offers a unified meaning to the combined data. The procedures enable one to handle and control all the data in a single interface and adhere to analytics using statistics. The availability of new centralized technology systems in the business process aids in the growth of the sources and types of data. Hence, it is an increasing demand to understand the concept of data integration procedures and tools that helps in preserving the data quality.

Data integration is radical when an organization has multifarious information stored in different applications. Here are some of the issues which data integration aids in resolving:

Data silos

Data Silos is an archive of isolated information or data. Concerning business, data silos signify that different data is manipulated by a specific business unit or sector and unavailable across the organization. Companies often face problems if the software used for storing information is not compatible with other existing systems. It becomes strenuous for the companies to bring the stored data from different sources altogether and make qualitative solutions.

Slow analysis

Leaders and data analysts are deliberately dependent on reliable data for making any decisions. It requires substantial time for the integration and analysis of that quality data. In today’s world, business requires real-time data analysis to determine the business value. Therefore, a reliable and evolved system for data integration is essential.

Holistic view

When data is spread among different sources, platforms, or applications, it becomes arduous to get a holistic view of the data. For example, customer data from various CRM applications of a company may vary for online and offline stores. However, the company’s data team wants to plan that data with the consumer’s basic and geographical information for deep analysis and scaling the sales. This information's interrelation is vital, and it needs integration of all CRM platforms. Otherwise, substantial effort and time would be necessary to integrate the data manually.