Create a dedicated, D&A-specific architecture discipline by developing both business and technical architectures
Create a dedicated, D&A-specific architecture discipline by developing both business and technical architectures
Data management balances data collection with connecting to it as the use case demands. It also covers:
Centralized delivery, management and governance of data (where data management teams are held accountable and responsible)
Decentralized delivery of data (where governance and management are deferred to the business domains — referred to as the “data mesh operating model”)
The key is complementing centralization with self-service rather than replacing one with the other.
A key mandate for every D&A leader is to identify which innovations and capabilities will help them drive greater tangible outcomes for key business stakeholders. Use this report to identify, understand and plan for change.
Build a modern analytics architecture that includes advanced and augmented capabilities.
Adopt a master data management architecture most suited to fulfill current and future goals.
Understand the interactive relationship between traditional and augmented data management and AI data processes.
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Gather alongside CDAOs and D&A leaders on March 9 – 11 in Orlando to gain insight on emerging trends, receive one-on-one guidance from Gartner experts and create a strategy to tackle your priorities head-on.
Gartner Data & Analytics Summit
Orlando, FL
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