Breaking down implications in data and data collection

Who is present in the data we collect? Who isn’t? And what does it matter?

julia ferraioli

@data @datadon
"Obtaining the data is a hard human problem. That is, 'people don’t want to give it to you'."

You can "use your allies on the bottom (front-line workers) and the top (executives) to squeeze out your opponents in the middle (managers, often in IT or data science departments").

Sarah Constantin: https://sarahconstantin.substack.com/p/the-great-data-integration-schlep

#industry #power #factory #processes #dataPrivacy #confidentiality #dataDon #dataGovernance #security #dataAccess #analytics #powerTalk #data #dataAnalysis #losers

The Great Data Integration Schlep

to analyze data, you have to get it in one place

Rough Diamonds

@maugendre @data @datadon

“It happened; it mattered; many fortunes were made. But it happened at the speed of human negotiation and learning”

@teodora this quote is an excerpt from the article shared in this thread about the challenges of data integration in an organization but it recognizes here that anything under the large digital transformation bucket largely moves at the “speed of human negotiation and learning” (i.e. dialogue) as I believe your book focuses on as described here:

“It is the dialogue in its aspect of co-creating knowledge and meaning in contrast to the function of a data-gathering and instruction-exchanged database-driven dialog system, that we will explore here.”

@datacequia @maugendre @data @datadon Andrew, this is one great "mapping" of concepts. Thank you for it. And for bringing my attention to this dynamics of change - "“ the speed of human negotiation and learning” "