Data sharing, however, cannot guarantee that the information makes sense or that it can be meaningfully compared. The only way to ensure comparable information is to have good data ownership, stewardship, or curatorship applied to the information and the procedures for creating and maintaining it. All information within the business must have clear ownership and the information owners must meet their responsibilities. Thus the business's data rules must be defined and included in the information architecture. Basing an ODS, data warehouse, or data mart on the SIA also provides an environment where true data mining can be accomplished because the data model supports the ability to obtain a database's source, interim summary-level, and detail data.
Data integrity is assured and data sourcing issues have been identified and resolved.
Common, replicated data is implemented the same way in all databases requiring it. Consequently, as the business's use of technology advances, migration to shared, integrated, and distributed databases is more easily achieved. The SIA is a fully normalized model of all identified detail and summary data within the business. Data that defines the relationships between a Resource and the measurable attributes that define it. Its architecture reflects the grammar of the business as a data statement, enabling changes in user information requirements with minimal to no structure changes.