5 Ways Your AI Projects Fail, Part 3: Data-Related AI Failures
Introduction The recurring perception that artificial intelligence, AI, is somehow magical and can create something from nothing leads many projects astray. That’s part of the reason that the 2019 Price Waterhouse CEO Survey shows fewer than half of US companies are...
Marketing Analytics, Data Science and Leadership – August 5, 2019 Week In Review
You’re busy. We get it. We’ve compiled some of the top-clicked and shared articles that you don’t want to miss. Here is a quick review of the top news in marketing analytics, data science and leadership you should be reading. A Data Science Leader’s Guide to...
{PODCAST} In-Ear Insights: Customer Data Protection and Privacy
In this week’s episode of In-Ear Insights, Katie and Chris tackle the thorny issues of user data privacy and what expectations a company should plan to meet when it comes to protecting users – even when the users make bad choices. Learn the different types...
Attribution Part 2: Source Codes and Reconciliation
This is the second part in a series on attribution. For an explanation of what attribution is, start out with Part 1 here. Ok, now that you know what Attribution is, this post will show you how to get started. This is where most companies should begin if they are...
Instagram Brand Engagement: The Latest Statistics
One of the most popular recurring questions in digital marketing communities (such as our Analytics for Marketers Slack group) is whether X or Y platform’s engagement rates have changed. After nearly a decade of urging, brands have taken engagement to heart as the...Free Weekly Newsletter
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