Create a dedicated, D&A-specific architecture discipline by developing both business and technical architectures
- Gartner client? Log in for personalized search results.
Head of Data Management
Get actionable, objective insight to help you and your team drive intelligent decision making across the organization by enabling access to the right data at the right time.
Leverage Data and Analytics Architecture as a Strategic Enabler of D&A
Data management solutions
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.
Top challenges for heads of Data Management
100+ D&A and AI Predictions Through 2030
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.
Solution Path for Building Modern Analytics and BI Architectures
Build a modern analytics architecture that includes advanced and augmented capabilities.
3 Essentials for Starting and Supporting Master Data Management
Adopt a master data management architecture most suited to fulfill current and future goals.
Is Your Data AI-Ready? Critical Questions You Must Ask Data Engineers
Understand the interactive relationship between traditional and augmented data management and AI data processes.
Experience Gartner conferences
Join your peers for the unveiling of the latest insights at Gartner conferences.
Drive stronger performance on your mission-critical priorities.