One of the challenges of marketing data is putting it to use. It’s fine to run reports and provide analysis, but if you don’t make decisions with your data, if you don’t change what you’re doing, then the data is of limited value. What does it look like when we put data to immediate, practical […]
Read More… from Case Study: Using Influencer Identification Data to Build Audience
In this week’s episode, Katie and Chris preview the rough draft of an upcoming talk about Instagram Data for the Agorapulse Instagram summit. Go behind the scenes on the talk, the research that went into it, and how we take data and try to make a coherent story about it. Please note the data shown […]
Read More… from {PODCAST} In-Ear Insights: Behind The Scenes Instagram Data
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 bringing the data set into machine learning software. We walk through more […]
Read More… from So What? How do I clean and prep my data for analysis – part 3
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?
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