Category: Data

  • Almost Timely News, July 9, 2023: Data Analyst Career Questions

    Almost Timely News: Data Analyst Career Questions (2023-07-09) :: View in Browser ๐Ÿ‘‰ Watch this free YouTube video on how to set up Google Analytics 4 menus to mirror Universal Analytics Content Authenticity Statement 25% of this newsletter was generated by me, the human. That’s right, only 25%. Why? Because a friend and reader sent…

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  • Mind Readings: The Danger of Old Text in Generative AI

    Summary In today's episode, I explore why training AI models only on public domain or copyright-free content is more problematic than it sounds, using a Juneteenth lens to examine historical biases baked into old texts. Here's what this means for you. You gain a sharper framework for deciding which sources belong in training data and…

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  • You Ask, I Answer: Google Analytics 4 Up and Running?

    Summary In today's episode, I explain why so many businesses remain unprepared for Google Analytics 4 and walk through three major consequences of ignoring the migration deadline. Here's what this means for you. You'll gain a clear picture of the ticking clock and avoid losing access to historical data when Universal Analytics sunsets. You'll also…

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  • So What? Universal Analytics data migration

    Summary In today's episode, I walk through how to prepare for universal analytics data migration as Google phases out the platform on July 1, 2023. Here's what this means for you. You gain a clear framework for deciding whether to back up your historical analytics data and which backup method fits your situation and skill…

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  • Mind Readings: Build DEI into AI From The Start

    Summary In today's episode, I explore the debate around where diversity, equity, and inclusion principles belong in AI development – in the training data or in the model itself. Here's what this means for you. Investing in curated, equitable training data upfront saves significant work balancing outputs later and protects you from liability. You'll also…

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  • You Ask, I Answer: Large Language Model Capability Limits?

    Summary In today's episode, I break down the four major categories of limitations that affect large language models today. Here's what this means for you. You'll stop blaming the model when the real bottleneck might actually be your own prompting skill or your choice of which model you're using. You'll also learn these concepts: how…

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  • You Ask, I Answer: Primary Research vs. Secondary Data?

    Summary In today's episode, I break down when to invest in primary research versus relying on imperfect secondary data, walking through the risk, skill, and application factors that drive that decision. Here's what this means for you. You will know how to match your research investment to the stakes of your decision so you don't…

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  • You Ask, I Answer: Unifying Marketing Data?

    Jose asks, “What is your best advice about collecting data from different platforms? How to unified data for better reading? Is there any recommended tool?” Can’t see anything? Watch it on YouTube here. Listen to the audio here: Download the MP3 audio here. Machine-Generated Transcript What follows is an AI-generated transcript. The transcript may contain…

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  • You Ask, I Answer: Unifying Marketing Data?

    Summary In today's episode, I break down how to unify data from multiple platforms using data warehousing techniques. Here's what this means for you. You gain a practical framework for deciding whether to buy a vendor solution or build your own pipeline based on your budget and technical skill. You'll also learn these concepts: the…

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  • #SaveWarriorNun Commentary on #WarriorNun Twitter Measurement

    Summary In today's episode, I break down the two main methods companies use to collect Twitter data and explain why different tools give different tweet counts for the Save Warrior Nun campaign. Here's what this means for you. You learn that the differences in numbers reflect API access levels rather than measurement errors, so directional…

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