IDC PlanScape: Data Architecture

IDC PlanScape: Data Architecture


This IDC PlanScape details the importance of data architecture."The growing volumes of available data are a blessing and a curse: More data might provide improved insights, but it might also create more noise that requires filtering," says Niel Nickolaisen, adjunct research advisor for IDC's IT Executive Programs (IEP). "The rapidly changing data landscape is also a blessing and a curse: Rapid changes in data sources, types, and technologies create new opportunities, but they also increase uncertainty and imply a nearly continuous assessment of what is available."

Please Note: Extended description available upon request.


IDC PlanScape Figure
Executive Summary
Why Is Data Architecture Important?
What Is Data Architecture?
Who Are the Key Stakeholders?
How Can My Organization Take Advantage of Data Architecture?
Establish Decision-Making Objectives
Form a Formal or Informal Data Architecture Working Group
Deliver in Short Cycles
Define Success Criteria and Metrics
Learn from and Tell Stories
Create an Inventory
Consider Factors that Define Data Architecture
Data Models
Dimensions
Data Governance
Platform Architecture
Loose Coupling
Advice for Technology Buyers
Related Research

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