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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