So What? Marketing Analytics and Insights Live airs every Thursday at 1 pm EST. You can watch on Facebook Live or YouTube Live. Be sure to subscribe and follow so you never miss an episode! In this week’s episode of So What? we focus on prepping your data for analysis. We walk through pulling your planning from […]
Read More… from So What? How do I clean and prep my data for analysis – part 2
In this week’s In-Ear Insights, Katie and Chris tackle an unusual situation. What happens when data doesn’t have answers? What happens when data simply doesn’t provide any useful insights beyond confirmation of what you already knew? We review what your options are, and what might have gone wrong that led to the situation. If you’ve […]
Read More… from {PODCAST} In-Ear Insights: What to Do When Data Doesn’t Have Answers
In this episode of In-Ear Insights, Katie and Chris dig into this key question: is there such a thing as being too data-driven? “I’m not sure if you and I have discussed this in the past but it’s been on my mind a lot lately, and I’m not sure if there’s formal thought around this: […]
Read More… from {PODCAST} In-Ear Insights: Avoiding Data-Driven Marketing Traps
In the weeks and months to come, expect significant challenges to business, B2B and B2C. Companies with a solid business analytics strategy and great data sources will have a significant advantage over companies without these assets. How can business analytics help? What do you, a marketer and business analyst, need to know? To answer this […]
Read More… from Business Analytics 101: How To Monitor Business Trends
Last year, we examined the wonder that is pumpkin spice, to learn what foods contained actual pumpkin spices. It’s been a year since then; what’s changed, if anything? Market Interest First, before we dig in, let’s look at pumpkin spice itself. The topic of pumpkin spice (or more accurately, pumpkin pie spice), is a perennial […]
In this week’s In-Ear Insights, Katie and Chris discuss what happens when algorithm choices go wrong. What happens when junior or naive AI engineers or data scientists make bad choices for algorithms. Using an example from a writing analysis website, we discuss what went wrong, what an appropriate choice should have been, and why it’s […]
Read More… from {PODCAST} In-Ear Insights: When Algorithm Choices Go Wrong
In this week’s In-Ear Insights, Katie and Chris discuss the current state of AI deployment. Companies are rushing ahead to put models and algorithms into action with little to no due diligence, and the consequences can be disastrous. Should AI adopt a practice similar to clinical trials, where a model must prove that it causes […]
Read More… from {PODCAST} In-Ear Insights: Should AI Adopt a Clinical Trials Process?
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
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
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 without verifying those facts or inspecting the methodology behind a piece of data. They also […]
Read More… from {PODCAST} In-Ear Insights: Transparency in Research and Data
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