Category: Data

  • Almost Timely News, April 14, 2024: 🗞️ Generative AI Needs Better Data, Not Bigger Data

    Almost Timely News: 🗞️ Generative AI Needs Better Data, Not Bigger Data (2024-04-14) :: View in Browser My Generative AI for Marketers course just got a massive update! Chapters 1, 2, 3, and 20 have been rebuilt with significant updates. If you’ve taken the course, log back in to get the updates. Content Authenticity Statement…

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  • So What? How to Get Started With Data Portability

    Summary In today's episode, I walk through what data portability means for marketers and how to assess whether your vendors let you extract your data easily. Here's what this means for you. You'll gain a practical framework for avoiding vendor lock-in and ensuring you keep control of your marketing data in any scenario. You'll also…

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  • Mind Readings: The Two Ingredients for Success in the Age of AI

    In today’s episode, discover the key elements that will determine your success in the world of generative AI. You’ll learn how to use data and ideas to your advantage, maximizing your creative output and personal achievements. This is a must-watch for anyone who wants to excel! Can’t see anything? Watch it on YouTube here. Listen…

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  • So What? How to Migrate Your Universal Analytics

    Summary In today's episode, I walk through whether you should migrate your Universal Analytics data before Google's deadline, along with the four practical options to actually do it. Here's what this means for you. You learn to avoid wasting time and money on data exports you don't need by applying the 5P framework before you…

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  • So What? Setting up Matomo Analytics in 2024

    Summary In today's episode, I walk through Matomo Analytics as a privacy-friendly alternative to Google Analytics 4 and explain how to set it up in parallel with your existing analytics. Here's what this means for you. You'll gain a simpler, directionally accurate way to answer basic website questions without battling GA4's complex interface. You'll also…

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  • Mind Readings: Most Analytics Data is Wasted

    Summary In today's episode, I explore why most analytics data sits unused and how pairing it with generative AI turns raw numbers into clear recommended actions. Here's what this means for you. You'll discover a practical way to bridge the gap between collecting data and actually doing something with it so your dashboards finally drive…

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  • So What? Solving data problems with Generative AI

    Summary In today's episode, I walk through a real-world example of using generative AI to solve a data problem — specifically, extracting page titles and summaries from a list of URLs in an Excel spreadsheet. Here's what this means for you. You gain a crucial mental model for knowing when generative AI will help you…

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  • So What? Generative AI and Analytics

    Summary In today's episode, I walk through how generative AI applies to analytics, which tools work best for different tasks, and the not-so-secret trick to using AI effectively with your data. Here's what this means for you. You discover that these AI tools are language prediction machines, not math calculators, so pairing them with actual…

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  • Mind Readings: AI and Government Data

    Summary In today's episode, I explore how generative AI unlocks government data trapped in hard-to-use formats like PDFs and legacy database outputs. Here's what this means for you. You gain a practical way to extract and transform publicly available but practically inaccessible government records into formats ready for analysis. You'll also learn these concepts: how…

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  • You Ask, I Answer: What’s The Difference Between Good and Great Data?

    In today’s episode, I answer the question, “What is the difference between great data and good data or great data and data?” I explain how data is like the ingredients for cooking. Good data enables quality results, but bad data ruins everything. To find out more about the key role data quality plays in AI,…

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