We believe Data Architecture is more than just having a complete inventory of data models for all applications. Don’t get us wrong, data modeling is important; however, Data Architecture encompasses standards, proven methodology, processes and practices that provide the enterprise with a well-defined approach to capturing business requirements and translating them into an integrated data environment.
A well-defined Data Architecture provides the ability to meet data volume, latency, quality, volatility, variety, auditability, traceability, security and integration requirements. It serves as a blueprint and guide for current and future data projects.
Consistent, reliable, scalable and reusable. These are all hallmarks of a data architecture approach that supports a growing enterprise. Having a solid data architecture plan in place will allow you to leverage and realize the full value of your data.