Data Integration Management refers to the process of combining data from different sources to provide a unified view. This involves collecting, transforming, and consolidating data from various systems, such as databases, applications, and cloud services. The goal is to ensure that the data is accurate, consistent, and accessible for analysis and decision-making. Effective Data Integration Management helps organizations streamline their operations and improve data quality. By integrating data, businesses can gain insights that support strategic planning, enhance customer experiences, and drive innovation. Tools and techniques used in this process include ETL (Extract, Transform, Load) and data warehousing.