My Pals Are Here Maths Homework 2b

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Jul 11, 2024, 6:53:06 PM7/11/24
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my pals are here maths homework 2b


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Welcome to Alter Everything, a podcast about data science and analytics culture. I'm Maddie Johannsen, and in this episode, I got to chat with one of our Alteryx ACEs, Esther Bezborodko. We chat about why you should go from spreadsheets to a full-blown analytics program and how you can make your program scalable right from the outset. Let's get started.

So I'm Esther Bezborodko. I am an Alteryx ACE since 2019, and I started using Alteryx in February of 2015 when I was basically given about three months to become a subject matter expert on Alteryx and simultaneously Tableau. That was my entry into the world of Alteryx.

Let's see. I am in love with the Alteryx community, active there, love helping people out. And my focus is always on getting people going in their analytics journey, getting them to a place where they can function faster, have a much better life outside of work, and understand their information. I like to look at Alteryx like solving puzzles. I get paid to help people solve puzzles for a living. How cool is that?

Yeah. I love the puzzle analogy. We've heard from other parents who use Alteryx at home and then their kids kind of peek over at their screen and they get so excited thinking like, "Oh my gosh, it looks like you're playing a video game," and stuff like that. So, yeah, the puzzle analogy really resonates, I'm sure, with a lot of people.

My son actually had come up with that. He was watching me solve some work problems in Alteryx on my PC and came over and sat down with me and said, "Eema." That's what my children call me, it's mother. "Ima, are you doing puzzles? Can I help you solve this puzzle?" And he was, I believe, seven at the time. And he actually did. He framed the problem in a way that I was able to figure out which tools to use when I explained to him what the problem was. He reframed it and we solved.

Oh, so eema is the Hebrew word for mother, and that is what my children call me. They call me Mommy or Ima. And I've got three kids. Now, a 12-year-old daughter and almost-10-year-old son and an 8-year-old daughter. My eight-year-old was a little confused by the two names that I had, so she spent the first few years of her speaking life calling me eema.

That's amazing. So cool. Great. Well, one of the things that you were saying, the puzzle analogy is really what you love about your job, but also just helping people scale and understand the importance of upskilling. And I think we've explored upskilling from an individual contributor perspective on previous episodes, and that's super important, but I think it's a completely different skill set needed to upskill an entire team, an entire department, or even an entire organization. And when we think about digital transformation and building an analytics culture, you have to think broadly like that. You're thinking about it in terms of bringing the whole team along, bringing the whole department along. And from your perspective, I'd love to kind of focus our conversation around this, and I'd love to hear first and foremost, how do you get started with something like this?

That's always the $50 million question, is where do you start? Right? And it is definitely very different thinking in terms of broad brush how do I get my whole organization going in a product like Alteryx versus, "Oh, you have this one puzzle. Let me help you solve it faster." It's a very different point of view. I've done a lot of the first. I think you and I have spoken a lot about the first, but the second is my passion. It's what I do. I teach analytics for a living. So this is the area that I live in daily. What we found as an organization in trying to up our whole analytics culture and get people excited about using the right tools is figuring out how they're using the tools that they have. So it's all about the use case and what different ways are people using analytical tools to help their clients, to help their teams, whatever the case may be? And then does the tool that we have serve that particular use case? And if it does, then how? And how can we ease their pain points in their use case? And I think that's a big-- getting into the organization, if people are having pain points in a particular way that they're using an analytics program, how can you ease those pain points? That's how you're going to get them into wanting to learn something new as opposed to repeating what they've done for many years.

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