Data Integration

Data Integration

Explore the definition of data integration, understanding how disparate data sources are combined for unified analysis and insights.

Data integration refers to the process of combining data from different sources into a single, unified view. This process enables organizations to access and analyze all their data collectively, which aids in both making informed decisions and gaining a clearer understanding of business performance. The key steps involved in data integration typically include: data extraction, where data is gathered from multiple sources; data transformation, where data is cleansed and reformatted; and data loading, where the transformed data is transferred into a new system or database for unified storage and access. This practice supports various business activities, including reporting, analysis, and data warehousing. It helps organizations enhance their operational efficiency, reduce redundancy, and improve data quality, leading to better decision-making processes. Data integration solutions may involve tools and technologies such as Extract, Transform, Load (ETL) software, data integration platforms, and, increasingly, cloud-based integration services that facilitate real-time data processing and accessibility. Implementing effective data integration is crucial for businesses that handle large volumes of disparate data and require a consolidated view for accurate analytics and strategic planning. The choice of data integration tools and strategies largely depends on the specific needs and resources of the business, including factors like data volume, frequency of data updates, and the complexity of data transformations needed.

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A global distribution system (GDS) is a computerized system for reserving airline seats, hotel rooms, rental cars, and other travel-related items (e.g., Amadeus, Apollo, Galileo, Sabre, and Travelport).
Electronic Data Interchange for Administration, Commerce and Transport (EDIFACT) is a standardized communication protocol created in the 1980s to exchange data between systems. Travel management companies rely on this standard to communicate with travel providers via the global distribution system (GDS) and source travel options for their customers.
Spend visibility is the comprehensive insight into and analysis of company-wide spending data, enabling more informed financial and procurement decisions.
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