Data Integration is a process that uses both technical and business processes of combining data from different sources into a single, unified location, e.g., a data warehouse. Data Integration includes some common elements as a network of data sources, a master server, and a client accessing data from the master server. This process is often a prerequisite of other processes like analysis, reporting, and forecasting. Data Integration allows managing data more efficiently and, by centralizing all data, provides easier access to data for those who need it. Automated updates enable reports to synchronize and run efficiently in real-time whenever needed, reducing errors and rework. In an organized and centralized system, issues are automatically identified, and improvements are applied, resulting in increased quality of business data, providing more accurate data and analysis results.