How To Think About Data Centralization in Nonprofit Organizations
Salience: Identify all the databases within the organization, the data elements they capture, and the owner.
Causality: Identify how the databases communicate with each other and the relationships between all the data elements captured. For example, a nonprofit may make a database architecture to map out all existing databases and how they communicate with each other. In the diagram below, information silos exists between departments blocking communication.
Sequencing: Determine with which departments or databases to begin data integration.
Resolution: Determine which databases can be integrated into one central database, and which systems must remain. This diagram depicts how a nonprofit may illustrate a future database architecture after implementation. The company determine which systems will continue to exist and which will be replaced by the central database.
