People data are datasets describing people, including but not limited to behaviors, demographics, pain points, or attitudes.
|
Dimension |
People Data |
| Cleanliness | Typically has a high percentage of missing values and (depending on the data collection) errors. Depending on the data collection methods can have a very low error percentage. |
| Interaction | Typically edited and added to with changes that become part of the dataset. |
| Size | Usually on the smaller side, as measured by data rows, often ranging from 100 to 100,000 rows |
| Source | Usually from trace data (i.e., data created by people in the ‘wild’) or surveys |
| Value | Comes from visualizing in meaningful ways, using appropriate modeling, and tied to KPIs |
| Stability | Generally unstable requiring frequent creation of new or updated datasets |
| Structure | Frequently changes in structure, with adding or removing new dimensions |
| Systems | Created, stored, and analyzed on a variety of systems |
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Jansen, B. J., Aldous, K, Salminen, J., Almerekhi, H. and Jung, S.G. (2023). Understanding Audiences, Customers, and Users via Analytics – An Introduction to the Employment of Web, Social, and Other Types of Digital People Data. Springer Nature.