Data Architecture
What is Data Architecture Goals
Data is a shared asset
A modern data architecture needs to eliminate departmental data silos and give all stakeholders a complete view of the company.
Users require adequate access to data
Beyond breaking down silos, modern data architectures need to provide interfaces that make it easy for users to consume data using tools fit for their jobs.
Security is essential
Modern data architectures must be designed for security and they must support data policies and access controls directly on the raw data.
Common vocabularies ensure common understanding
Shared data assets, such as product catalogs, fiscal calendar dimensions, and KPI definitions, require a common vocabulary to help avoid disputes during analysis.
Data should be curated
Invest in core functions that perform data curation (modeling important relationships, cleansing raw data, and curating key dimensions and measures).
Common vocabularies ensure common understanding
Shared data assets, such as product catalogs, fiscal calendar dimensions, and KPI definitions, require a common vocabulary to help avoid disputes during analysis.
Data flows should be optimized for agility
Reduce the number of times data must be moved to reduce cost, increase data freshness, and optimize enterprise agility.
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