Episode Summary:
Data Scientist Elliott Whitling joins us to discuss how marketing attribution vendors probably work behind the scenes. He outlines why you should ask the vendor how the vendor's algorithm learns and why you need to ask about identifying false positives. Then we look at what big data means for your anonymity. Finally, we dive into the differences between data scientists, data engineers and data analysts.
Marketing Attribution Vendor Buying Guide:
Show Outline:
0:00 - Intro / Introductions
1:02 - The data science of marketing attribution vendors
17:36 - Differential Privacy: Protecting privacy in large datasets.
28:40 - Data Scientist vs Data Engineer
34:08 - What is a large data set?
36:05 - Closing
Links:
Apple and Differential Privacy
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