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Principles and policies defining data access and sharing of personnel data and workplace analytics will therefore become paramount.
An application programmer can express a parallel algorithm using a few simple building blocks, defining data and work objects and their relationships.
By relating concepts through ontology technology rather than just defining data syntax, assembly and joining concepts can be captured in their entirety or extended as necessary.
Defining data, behaviour and system components in a machine understandable way using ontologies provides the basis for reducing the need for humans to be in the loop for routine system integration processes.
A sound use case of this concern is found when defining data replication and partitioning policies to store data emerged in the Smart Grids domain in order to adapt electric networks to current application demands (e.g., real time consumption, network self adapting).
By defining data quality rules whose observance can be measured at various levels across the enterprise information architecture, the data quality practitioner can assemble scorecards for evaluating stability and predictability associated with data quality measurements, and can differentiate common causes from special causes of data failures.
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Therefore, it becomes important to define data and knowledge.
The World Economic Forum has even researched the potential to define data as a new asset class.
Energy Efficiency Finance Programs: Use Case Analysis to Define Data Needs and Guidelines.
Do the "records" (combinations of column and row headings) begin to define data points that could be useful in designing a program?
It defines data types, controls data movement and protects data from unwanted changes.
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