Data and analytics leaders must “unlearn” postimplementation data integration practices to succeed in multicloud or cloud and on-premises hybrid environments. Distributed data requires distributed integration that uses combinations of design approaches.
Impacts and Recommendations
- Postimplementation Practices Defer Costs and Resources to a Later Time
- Developing Data Usage Profiles That Span Multiple Use Cases Early Can Reduce Higher-Cost, Extensive Integration Efforts Later
- Application Development Requires Flexible Data Management for Local, Application-Specific Data, While Supporting Standards Relative to Shared Governance Models to Ease Integration Efforts
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