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, 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 when trouble is brewing? Learn about what exponential math is, how it factors into trend detection, […]
Read More… from {PODCAST} In-Ear Insights: Early Warning Systems for Marketing Analytics
This past week, our CEO Katie Robbert said, “can we be done with the “something about me and tag five people” on twitter thing? it’s really annoying now“. If you’re unfamiliar with the reference, there’s a Twitter meme where you share 5 jobs you’ve held, and then tag 5 people: These tag memes at first […]
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In this week’s In-Ear Insights, Katie and Chris answer a mailbag question from Denise: “My question is about UX copywriting. Other than using a service like “crystalknows.com,” how do I know which words and phrases influence a specific buyer persona? Which words or CTAs influence a 35-year-old CTO male who makes craft beers on the […]
Read More… from {PODCAST} In-Ear Insights: Data-Driven B2B Marketing Personas
In this week’s In-Ear Insights, Katie and Chris address pressing questions about the ethics of marketing analytics, data collection, and consumers’ right to privacy. What should marketers be collecting? What shouldn’t they? What are the implications of unused, personally identifiable information laying around in marketing analytics, marketing automation, and CRM systems? Tune in now to […]
Read More… from {PODCAST} In-Ear Insights: Marketing Analytics, Ethics and Data Privacy
In this week’s episode, Katie and Chris discuss data analytics requirements gathering. When you’re setting out on any kind of marketing analytics project, how do you go about determining what data you’ll need? This process is called requirements gathering, and it’s not as simple as it sounds. Listen in for tips on how to go […]
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For years, companies big and small in the analytics, data science, and machine learning space have been advocating for the citizen data scientist. I’m sad to say that the concept is more or less dead. What is a Citizen Data Scientist? As far back as 2015, IBM (disclosure: Trust Insights is an IBM Business Partner) […]
In this week’s In-Ear Insights, Katie and Chris discuss marketing analytics skills and techniques. Why don’t more people use their data? Why are analytics and data science skills so siloed and so under-utilized in organizations? From examples using Chinese food menus and restaurants to dealing with confused C-Suite people, you’ll learn how to start breaking […]
Read More… from {PODCAST} In-Ear Insights: Marketing Analytics Skills and Techniques
A question that we hear often is, “what is the difference between data, business, and marketing analytics?” Listen to the podcast episode from Chris and Katie here: https://www.trustinsights.ai/blog/2020/01/podcast-in-ear-insights-data-analytics-business-analytics-and-marketing-analytics/ Data analytics is the science of analyzing raw data in order to make conclusions about that information. Business analytics refers to the skills, technologies, practices for continuous […]
Read More… from Data Analytics, Business Analytics, and Marketing Analytics
In this week’s In-Ear Insights, Katie and Chris discuss the differences between data analytics, business analytics, and marketing analytics. What do all these terms mean? What’s the difference? How do you know when you’re doing one versus another? They also tackle differences in job descriptions and titles as ways of thinking about the various forms […]
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