A robust data architecture also provides an understanding of where data exists and how it travels throughout an organization and its systems — highlighting changes and transformations made as data moves from one system to the next, on prem or in the cloud. Large organizations have traditionally housed information in multiple applications, business systems and other databases. Forward-thinking companies have long seen integrating these systems as business-critical, but inconsistencies in data types and structures often hamper these efforts.
- Complete a visioning exercise to understand your desired data architecture future state and identify what in your current data, data structures and data management capabilities are limiting achievement of that future state
- Stand up a sustainable data architecture practice that works closely with other architecture functions as well as data governance to ensure data is reliable, available, trusted and actionable
- Ensure your data structures and data models reflect your most critical use cases and business needs
- Rationalize and optimize key enterprise-wide data source systems and integration points, balancing your requirements against modern best practices and value-add technologies