Application Integration versus Data Integration

Application integration refers to the process of connecting different software applications and systems so that they can work together and share data. This type of integration is often necessary when different systems have been developed independently and need to be able to exchange information in order to perform their respective functions. Data integration, on the other hand, refers to the process of combining data from multiple sources into a single, unified view. This can involve extracting data from various systems, cleaning and transforming it, and loading it into a data warehouse or other data repository for analysis and reporting. Data integration is often used to support business intelligence and analytics initiatives, as it enables organizations to gain a more comprehensive understanding of their operations and make informed decisions based on the data. In summary, application integration focuses on connecting different systems and enabling them to exchange information, while data integration focuses on combining and integrating data from multiple sources for analysis and reporting. Both types of integration are important for organizations that rely on multiple systems and need to be able to exchange and analyze data in order to make informed decisions. Tenson & Tenson can help your organization with both application integration challenges as with data integration challenges.