Is your organization thinking about attribution? Who should you choose to help you solve the attribution problem? I wrote this post on Cardinal Path’s blog to help you ask the right questions to get the best attribution vendor for you. Data-driven attribution is used to determine which marketing channels have the largest impact on conversion. […]
Tag Archives: data science
Data Leakage: How Data Collection Impacts the Decisions We Make and Vice Versa
I wrote this post on Cardinal Path’s blog. There is a lot to consider when building a model: Data leakage. Data leakage occurs when the data you are using to train a machine learning algorithm happens to include unexpected information related to what you are trying to predict, allowing the model or algorithm to make unrealistically […]
I really want to use data science! Where should I start?
Economist Robin Hansen’s most viral tweet says: “Good CS expert says: Most firms that think they want advanced AI/ML really just need linear regression on cleaned-up data.” I’d take this even further and say that most firms that think they want linear regression really just need good data visualization on trustworthy data. And those that […]
Reminiscing about 2016 Data Science Conferences
Remember last year’s data science conferences? We are well into 2017 but I’ve been thinking about my favourite data science talks from 2016 as the same conferences from last year come up again. I’m excited to see what talks come out of the conferences this year! useR!2017 just released its schedule and I’m excited to […]