{PODCAST} In-Ear Insights: Data-Driven Decisions and Social Good
In this week’s In-Ear Insights, Katie and Chris look at the upcoming release of hate crime data analysis and broader implications. When data collection is flawed or missing, how do you still make decisions? What do you do when you have to do something because...
{PODCAST} In-Ear Insights: Math Skills for Marketing Analytics
In this week’s In-Ear Insights, Katie and Chris discuss math. Specifically, what are the math skills that marketers of all stripes, but especially those who have an interest in marketing analytics, marketing data science, and machine learning/AI applied to...
{PODCAST} In-Ear Insights: Transparency in Research and Data
In this week’s In-Ear Insights, Katie and Chris discuss the importance of transparency and disclosure in research and data. These are troubled, uncertain times – not for the macro situation, but for our willingness to collectively accept statements of fact...
5 Ways Your AI Projects Fail, After Action Reviews and Post-Mortems
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...
{PODCAST} In-Ear Insights: Early Warning Systems for Marketing Analytics
In this week’s In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss early warning systems. When looking at your analytics, what metrics constitute leading, realtime, or lagging indicators, and how should you think about using them to determine...Free Weekly Newsletter
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