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fresh data

Contributor(s): Ivy Wigmore

Fresh data is data that is current and immediately usable and useful. That means that it is consistently accessible and up to date, its sources can be traced and it can be analyzed in real time to yield actionable results.   

The term fresh data implies the inclusion of metadata. Contextual metadata adds value, essentially making it possible to receive information from data.   

Essential elements of fresh data include:  

Data integration: the ability to transform and combine data from multiple source systems in such a way that it can yield consistent, comprehensive, current and correct information for business reporting and analysis.  

Consistency: the assurance that all instances of data across the organization are automatically updated if any is.

Data context:  the network of connected data relative to a particular data point.  In business analytics (BA), gathering context from external sources can provide useful information about events that have significance for the organization. 

Data life cycle management:   a policy-based approach to managing the flow of an information system's data throughout its life cycle: from creation and initial storage to the time when it becomes obsolete and is deleted.

This was last updated in July 2017

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