Does big data explain everything? – Ethnography & thick data
Have you ever heard of the myth that big data provides the answer to all questions? As a Data Scientist, I know that Big Data explains the "what", "where" or "how often", but not the "why". For that, a different kind of data is needed. In "Torch", our new data science series, I introduce you to Thick Data and show you how to combine it with Big Data to get the most out of your data.
What big data is and how thick data differs from it.
Why you need both types of data to make informed business decisions.
How you can best combine big data and thick data.
How can you apply this to your data science project? In my takeaway, I'll show you three concrete methods you can use to collect thick data, and which one is most appropriate for which use case.
Hi, I am Jenifer, and I am a data scientist at Trivadis – Part of Accenture with a background in biomedical engineering and cognitive neuroscience. Before I came to Trivadis, I worked as a researcher in these fields at EPFL and the University of Lausanne (CH), investigating interactions with virtual reality and brain activity during learning. Now, I am working on projects related to time series predictions. In my free time, I enjoy running, particularly in the beautiful scenery of the mountains. PS: Did you enjoy my «Torch» episode? Then let’s get in touch – I would love to pass the torch and discuss the world of data science further!
What I share with you
Thick data can help you generate deeper insights into your big data sets. But when do you as a business need these insights and how can you collect the respective thick data? In this takeaway, I will show you three concrete methods and what use cases they are best suited for.
