In this week’s In-Ear Insights, Katie and Chris examine the measurement of diversity, revisit Malcolm Gladwell’s Blink examples of blinded interviews, and ways companies can support minority and women-owned businesses, from recruiting to vendor selection. What does your data say? Find out in this episode. [podcastsponsor] Watch the video here: Listen to the audio here: […]
Read More… from {PODCAST} In-Ear Insights: Opportunity Creation and Fairness
[oldnews] Did you miss our Data Science 101 for Marketers event at IBM? Catch the replay video, audio, slides, and transcript here and learn what you need to know about marketing data science basics! In a period of time when pretty much everything is polarized, one of the most important things you can do for […]
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. All you need to know about symbolic artificial intelligence via @bendee983 Instead of manually laboring […]
Read More… from Marketing Analytics, Data Science and Leadership – June 8, 2020 Week In Review
The world is on fire. The most common sentiment that I see is “I don’t know what to say” and “I don’t know how to support” – well that and “you’re doing it wrong”. There are a lot of people telling us how to feel, what we’re saying is incorrect, or not enough. We wanted […]
Read More… from How to be an Ally: Educate, Donate, Volunteer
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 lives are on the line, but you lack enough data? […]
Read More… from {PODCAST} In-Ear Insights: Data-Driven Decisions and Social Good
[oldnews] The world is on fire. The most common sentiment that I see is “I don’t know what to say” and “I don’t know how to support” – well that and “you’re doing it wrong”. There are a lot of people telling us how to feel, what we’re saying is incorrect, or not enough. We […]
Who loves cheese? Lots of people love cheese and next week is National Cheese Day (June 4th) here in the US. We’re showcasing a fun way to see predictive analytics in action, with Cheese of the Week. We first ran this forecast in 2019 for National Cheese day and since so many people enjoyed it […]
Read More… from Cheese of the Week Predictive Forecast: 2020 edition
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 marketing need to know. Do you need a Ph.D.? Do you need to spend a year […]
Read More… from {PODCAST} In-Ear Insights: Math Skills for Marketing Analytics
[oldnews] Did you miss last week’s webinar on social media audience trends in the pandemic? Catch the replay here > How do you define a KPI? I ask this question often in my keynotes about analytics, and inevitably, I hear a mixed bag of responses. “Important metrics”, “business goals”, and an assortment of other defitions […]
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. How machines see: everything you need to know about computer vision via @thenextweb For instance, […]
Read More… from Marketing Analytics, Data Science and Leadership – May 25, 2020 Week In Review
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