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How Trump Consultants Exploited the Facebook Data of Millions - The New York Times
After the trouble with elections, CA seeks to move into corporate advertising. What protection does someone has? Scary stuff.
analytics  data  politics 
yesterday by mkatase
Nice thing that talks to Google Analytics and makes a noise when people arrive or leave from your website
sound  noise  tech  analytics  google 
yesterday by dmje
You need 16 times the sample size to estimate an interaction than to estimate a main effect - Statistical Modeling, Causal Inference, and Social Science
Based on some reasonable assumptions regarding main effects and interactions, you need 16 times the sample size to estimate an interaction than to estimate a main effect.

And this implies a major, major problem with the usual plan of designing a study with a focus on the main effect, maybe even preregistering, and then looking to see what shows up in the interactions. Or, even worse, designing a study, not finding the anticipated main effect, and then using the interactions to bail you out. The problem is not just that this sort of analysis is “exploratory”; it’s that these data are a lot noisier than you realize, so what you think of as interesting exploratory findings could be just a bunch of noise.
analytics  mathematics 
2 days ago by janpeuker
Domopalooza 2018 – how Cisco is changing marketing with accountability, data, and engagement - by @jonerp #DP18
"What makes you special: This is about differentiation. Being clear about what sets you apart from competition (and, hint, it’s not your people) is critical. You have create contrasts that lay the groundwork for preference.What do I normally see? No comparisons, no terminology that starts to connect to differentiation. Or, vague statements of differentiation (like the people claim) that are made with no context of what the comparison is."
analytics  planning  and  data  analysis  content  marketing  digital  use  cases 
2 days ago by jonerp
Analytics API and Customer Data Platform · Segment
Segment is trusted by thousands of companies as their Customer Data Platform. Collect user data with one API and send it to hundreds of tools or a data warehouse.
api  data  analytics 
2 days ago by phatblat
The sobering due diligence lessons from the Theranos debacle - by @dahowlett
"Due diligence went by the board at Theranos. It's a common problem. It is an object lesson in why it is important to understand the accounts and projections of any technology investment."
analytics  planning  and  data  analysis 
2 days ago by jonerp

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