Forrester's Data Management Reference Architecture
Align Data Management Roles To Create Stronger Business Value
February 2, 2011
Why Read This Report
The continuing explosion in data volume, increasing numbers of business users, growing data complexity, compliance requirements, need to support global operations, and growing need for real-time access are motivating enterprises to get more control of data management strategy and data architecture. More importantly, more and more businesses use insight derived from data as a key corporate asset for competitive differentiation. Enterprises need effective data management architecture to support their changing business requirements and ensure that they always use trusted and secure data for key processes. But myriad choices and new data requirements inundate data architects, enterprise architects, database administrators, and data quality specialists. Forrester's data management reference architecture provides a framework, including architectural patterns and building blocks, to guide these data management stakeholders in managing strategy and architecture.
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Table of Contents
- Forrester's Data Management Reference Architecture
- A Data Architecture Reference Model Defines The Data Management Data View
- The Data Management Functional View
- Every Organization Needs A Data Management Reference Architecture
- Related Research Documents