Low-Fidelity Data Mining for Customer Experience Mapping

3/29
6:00 pm — 7:30 pm
Wednesday, March 29, 2017
Harvard Innovation Labs - Classroom

 

How can we mine survey, sales, and customer data to uncover new insights into the lives and needs of our users, without a strong background in statistical analysis or code development?

In this session, Almighty Founder and CSO Ian Fitzpatrick will walk through approaches to finding anomalies, commonalities, and outliers in data sets — with a focus on using these to drive better qualitative research that shapes a great brand, product, or service experience. Particular emphasis will be placed on combining private and public data sets to uncover hidden patterns and opportunities.

The workshop itself is designed to be highly-participatory and hands-on. Participants are encouraged to bring both a laptop or tablet computer and an eagerness to collaborate with others.

 

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Low-Fidelity Data Mining for Customer Experience Mapping
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