Why Read This
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.
Tags: Application Development, Architecture & Technology Strategy, Data & Information Protection, Data Mining, Data Modeling, Data Profiling, Data Quality & Data Governance, Data Warehousing, Data-Centric Security, Enterprise Content Management (ECM), Information Architecture, Information Management, Organizational Structure, Reference Architecture, Security Risk & Compliance