IN-EAR INSIGHTS DATA STORYTELLING AND COMPLEX EXPLANATIONS

In-Ear Insights: Data Storytelling and Complex Explanations

In this week’s In-Ear Insights, Katie and Chris tackle an audience question: “Any general advice to simplify data explanations for decision makers who can’t follow a complex explanation (which always sounds like you are trying to cover for something)?” We look at what makes an explanation difficult or complex, and how to emotionally involve stakeholders […]

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IN-EAR INSIGHTS SOCIAL MEDIA LISTENING

In-Ear Insights: Social Media Listening

In this week’s In-Ear Insights, Katie and Chris talk about social media listening. What is it, and why does it sometimes fall very short of expectations? Learn what social media listening tools can and can’t do out of the box, and why expertise is mandatory to pair with even the best tools on the market. […]

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IN EAR INSIGHTS MEASURING CHATGPT PERFORMANCE

In-Ear Insights: Measuring ChatGPT Performance

In this week’s In-Ear Insights, Katie and Chris discuss how to set up a testing plan for measuring ChatGPT and whether it is working for you or not. From time savings to risk mitigation, think about the different ways large language models could be improving your business, then develop a measurement plan to see if […]

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In-Ear Insights: Social Media ROI

In this week’s In-Ear Insights, Katie and Chris discuss social media ROI. What is it, how do you compute it, and why do marketers do such a bad job with it? Learn the most common mistakes with social media ROI, when it’s useful as a metric, and what your next steps should be to find […]

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IN-EAR INSIGHTS RISKS OF REPLICATING DATA WITHOUT SOURCES

In-Ear Insights: Risks of Replicating Data Without Sources

In this week’s In-Ear Insights, Katie and Chris discuss the challenges of replicating data and what to do when asked to use data to make conclusions. They explain that the lack of information can be a hindrance to making accurate comparisons, but having domain expertise and knowledge of available data sources can help in creating […]

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THIRD PARTY RELATIONSHIP MANAGEMENT

In-Ear Insights: Third Party Relationship Management

In this week’s In-Ear Insights, Katie and Chris talk vendor and partner management, aka third party relationship management. What is it? How do you choose vendors and partners who fit your requirements best? How do you position yourself as the vendor of choice? Tune in to find out! [podcastsponsor] Watch the video here: Can’t see […]

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OBSTACLES TO BECOMING DATA-DRIVEN

In-Ear Insights: Obstacles to Becoming Data-Driven

In this week’s In-Ear Insights, Katie and Chris tackle a common challenge in organizations wanting to adapt a data-driven marketing methodology: stakeholders who don’t make data-driven decisions. Learn why this is the case and what you can do to help transition those stakeholders to more of a data-driven point of view. [podcastsponsor] Watch the video […]

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MOTIVATION, MOMENTUM, AND MANAGEMENT

In-Ear Insights: Motivation, Momentum, and Management

In this week’s In-Ear Insights, Katie and Chris discuss how to manage motivation of a team, especially in demotivating circumstances. How do you keep people interested over a long period of time in a sustainable way? What if you don’t have the budget or resources for tangible retention methods? Tune in to learn motivation tips! […]

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HOW BUSINESS REQUIREMENTS GATHERING BOOSTS REVENUE

{PODCAST} In-Ear Insights: How Business Requirements Gathering Boosts Revenue

In this week’s In-Ear Insights, Katie and Chris talking business requirements gathering. Often seen as administrative overhead, business requirements gathering can dramatically increase revenue if you do it right. Learn what business requirements gathering really is, why it’s often done incorrectly (or not at all!) and how you can implement the process better to make […]

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{PODCAST} In-Ear Insights: Data Science vs. Data Analytics: What's the Difference?

In-Ear Insights: Data Science vs. Data Analytics: What’s the Difference?

In this week’s In-Ear Insights, Katie and Chris discuss the differences between data science and data analytics. They delve into how data science focuses on exploring why things happen, while data analytics focuses on what happened. They also touch on the importance of requirements gathering and the role of data engineering. Tune in to the […]

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