Modern HR Data Types and Attributes (from text to machine generated and monitored data)

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“Data has a funny property. It wants to make more data. There’s a saying, ‘data makes its own gravy.’ Using data creates data about usage. Interestingly, the metadata created by data is often more useful than the data itself.” - John Sumser

 

Modern HR Data Types and Attributes
(from text to machine generated and monitored data)

 

Data is at the heart of the explosion of intelligent tools and AI in HR Tech software. Buried beneath the expanding flow of information, workers have needed an assist of some kind just to process and try to understand what’s important.

 

Data has a funny property. It wants to make more data. There’s a saying, ‘data makes its own gravy.’ Using data creates data about usage. Interestingly, the metadata created by data is often more useful than the data itself. This is the heart of the data collection involved in Organizational Network Analysis (ONA).

 

The categorization of data types and attributes is still in the early stages. What’s clear is that the array of questions we can profitably ask and answer is beginning to become more interesting.

 

The work of synthesizing, prioritizing, and then

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