Many businesses have invested heavily in big data, believing its findings will save them money, solve problems and grow their profits. However, the returns often have been lackluster. Technology ethnographer Tricia Wang explains what’s missing: “thick data,” the insights gleaned from human “stories, emotions and interactions.” getAbstract recommends her thought-provoking lecture to researchers and decision makers in all fields.
In this summary, you will learn
- Why big data is falling short,
- How to avoid the pitfall of “quantification bias,” and
- Why companies should integrate “thick data” and big data.
About the Speaker
Tricia Wang is a technology ethnographer who co-founded the consultancy Constellate Data.
Comment on this summary
11 months agodecently very decently written this book I advise you to read
1 year ago数据的收集在于指导和纠正，且它必然具有滞后性，考虑到反身性的存在，预测是古往今来都不行的；若非具有普适性的人性特征或科学性的事物规律，用已收集的数据去预测未收集的人事物，难度系数太大。