DESIGN IN A WIGGLY WORLD

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DESIGN IN A WIGGLY WORLD — OF MIRRORS, VIRTUAL REALITY, AND BIG DATA  Tricia Wang (constellate data)

"Data is not raw, data is designed"

"Thick Data analysis primarily relies on human brain power to process a small “N” while big data analysis requires computational power (of course with humans writing the algorithms) to process a large “N”. Big Data reveals insights with a particular range of data points, while Thick Data reveals the social context of and connections between data points. Big Data delivers numbers; thick data delivers stories. Big data relies on machine learning; thick data relies on human learning." 

 "More numbers do not necessarily produce more insights"

"The risk in a Big Data world is that organizations and individuals start making decisions and optimizing performance for metrics—metrics that are derived from algorithms.."

"Roger Magoulas, who coined the term Big Data, emphasizes the need for stories: “stories tend to spread quickly, helping spread the lessons from the analysis throughout an organization.”