How Xerox uses analytics, big data and ethnography to help government solve “big problems”

Through the application of analytics to Big Data, as well as ethnography — the design and implementation of qualitative field studies to observe cultural patterns — Xerox is answering important questions about traffic congestion, our reaction to it, and how city governments most effectively can provide services to address this and related needs.

To explore these issues, Ben Kerschberg of Forbes interviewed together Ken Mihalyov, Xerox Chief Innovation Officer for Transportation Central and Local Government; and David Cummins, SVP, Parking and Justice Solutions.

Here are the ethnography questions:

Q: At what point do you think technology reaches its limits and thus requires ethnography to make the program as efficient as possible?

Ken Mihalyov: I think we’ve found that we like to get ethnography involved as early in the process as possible. There are things that we can certainly accomplish with our algorithms and Big Data alone. We can look at the data and see trends that we would not otherwise see. Ethnography is a strong counterpart to looking at the data a certain way and drawing conclusions from it. We can confirm that we’re working on the right problem, that we haven’t missed something and that our interpretations are correct. Ethnography helps us confirm those factors and that we’re seeing the bigger picture that includes human interaction.

Q: I can imagine that ethnography could be as important to observing a manufacturing line as it is to dynamic parking. Do you think there is an over-reliance on Big Data without looking at important human elements such as expertise gained by years on the line or on the streets?

David Cummins: I’m not sure that it’s Big Data versus ethnography, but rather we’ve found that they complement one another in indispensable ways.

Ken Mihalyov: Data can take you a long way, but when people are involved it’s not always the whole story. You need to understand and document the way things really work, especially the interactions between different processes. There’s very often a difference between what you expect to have happen and what’s actually happening when people are involved, and that’s very enlightening.

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