Definition: Data Integration is the process of combining data from multiple sources into a unified and consistent view, enabling organizations to have a comprehensive understanding of their data. It involves extracting, transforming, and loading (ETL) data from various systems, databases, or files, and merging it into a single, coherent dataset. Source: Techopedia Source reference: https://www.techopedia.com/definition/1277/data-integration Additional information: Data Integration plays a crucial role in enabling businesses to make informed decisions by providing a holistic view of their data. It eliminates data silos and ensures data consistency, accuracy, and reliability. The process involves identifying relevant data sources, mapping data elements, applying data transformations, and resolving any inconsistencies or conflicts. Data Integration can be achieved through various methods like manual coding, middleware tools, or specialized data integration platforms. Example: An example of data integration is a retail company that combines data from its point-of-sale systems, customer relationship management (CRM) software, and inventory management system. By integrating this data, the company can gain insights into customer buying patterns, optimize inventory levels, and personalize marketing campaigns based on customer preferences. LOST view: TVA-Data Management Enablers [Motivation] Identifier: http://data.europa.eu/dr8/egovera/DataIntegrationApplicationService EIRA traceability: eira:DigitalSolutionApplicationService ABB name: egovera:DataIntegrationApplicationService EIRA concept: eira:ArchitectureBuildingBlock Last modification: 2023-07-20 dct:identifier: http://data.europa.eu/dr8/egovera/DataIntegrationApplicationService dct:title: Data Integration Application Service