Systems Thinking

**The Data-Driven Brand: Using Analytics to Shape Perception** Can you use analytics to improve tacos? This being CBUSDAW, we think the answer is probably “yes”, but we’re not sure how to implement or test this theory. For our April meetup we’ve got Sara Kear, CMO of Condado Tacos, to investigate this delicious question. Sara will explore how she blends quantitative data and qualitative customer feedback to shape brand positioning and drive business decisions. We all know that marketing and analytics go way beyond attribution. Sara will show how Condado uses customer insights to inform product and pricing strategy. She’ll also highlight how Condado leverages customer feedback at scale to influence operational priorities, positioning marketing as the voice of the customer across the organization. In the last 12 years Condado has gone from one location in Columbus to 52 locations across 10 states, so we’re guessing there’s more to that growth than really good guac (though the guac probably helps). Ultimately, this talk focuses on the intersection of art and science—using data to inform creativity and build a brand that resonates with customers in a measurable way. **About Our Speaker** Sara Kear is Chief Marketing Officer at Condado Tacos, where she oversees brand, restaurant design, menu and pricing strategy, off-premise including catering, and customer data strategy. Since joining in 2021, she has helped grow the brand from 19 to 52 locations while building a data-driven marketing organization focused on loyalty and customer insights. Condado has since been named to the Inc. 5000, recognized as Breakout Retailer by Chain Store Age, and consistently ranked among FastCasual’s Top 100 Movers & Shakers. Thanks to our 2026 sponsors: [Clarivoy](https://www.clarivoy.com), [What Box Consulting Group](https://www.whatboxconsultinggroup.com), [Conductrics](https://www.conductrics.com), and [Piwik PRO](https://piwik.pro) More info at [cbusdaw.com](https://cbusdaw.com)

**Connected Westerville Night of Networking** *April Edition: The Introduction Economy* You've been to the networking events. You've done the small talk. Collected the cards. Forgotten the names. And walked out feeling like you just wasted two hours of your life. The problem isn't you. It's the format. Most networking events put you in a room and tell you to figure it out. So everyone defaults to elevator pitches and business talk, and nothing real gets built. Here's the truth about networking that most people miss: Your network isn't just who you know. It's who thinks of you when they're talking to someone else. *That's* The Introduction Economy. And it only works when relationships are real. There's a reason people who come once keep coming back. It starts with seven minutes that feel nothing like networking. Then we open it up. Free networking. More conversations. More momentum. This is a room full of corporate professionals, entrepreneurs, business owners, creatives, and career builders in the Westerville and Columbus area. The mix is the magic. You might never do business with everyone you meet tonight. But someone in this room will think of *you.* **By name**. So, the next time someone needs exactly what you do, you get the recommendation. **April 14th. RSVP now.** **When:** Tuesday\, April 14th \| 6:15 PM \-\- 8:00 PM **Where:** Vineyard Community Center \| 6000 Cooper Rd\, Westerville\, OH 43081

**First meetup of the Columbus AI Engineering group.** We’ll kick things off with a practical, beginner-friendly discussion on: **How LLMs like ChatGPT actually work — and how to build real applications with them.** We’ll cover: * what’s actually happening under the hood (at a high level) * why LLMs behave the way they do (hallucinations, prompt sensitivity, etc.) * how people are building real systems with them today * where things break in practice This will be a **short, informal talk (\~15–20 min)** followed by open discussion and Q&A. Whether you’re an engineer, builder, or just curious about how modern AI systems work, you’re welcome to join. No slides, no fluff — just real conversation about real systems. We’ll hang out afterward and get to know each other.

How do we recover from having had a toxic or narcissistic ex? How do we move on from the past, especially something as traumatic as a divorce or breakup? How do we avoid anxiety and depression? How do we have more self esteem? In this meeting, you will learn the mental health secrets to help you quickly get over the past and heal your mind. Be sure to click on the red "Attend" button below to come to this local event. We look forward to seeing you there. This group is created by the Dianetics & Scientology life improvement center.

So this month's prompt is more general. I think we can all agree that we are living in "unique" times that require coping skills. I think that one role and/or purpose of philosophy is to help us deal with our daily lives and our "unique" times. So, let's share our feelings and thoughts about which philosopher/philosophy we turn to in order to deal with our crazy events. Who/what helps you stay focused in your daily life and helps you sleep at night. I find that Stoicism with a little philosophical pessimism mixed in goes a long way in helping me deal with what I see as very destructive, fearful and mean spirited public policies at both the state and federal levels. Hope to see you on March 28th!

WQC has weekly Thursday night social nights at the Westerville Java Central. Come and grab a coffee and connect with the community: low stakes, chill environment, and tasty drinks. No registration is required; come as you are.

The Fellowship of the Star Schema: Transforming OLTP Data for Power BI One does not simply build reports on OLTP data. Join us on an epic journey from the depths of raw, normalized tables to the shining halls of a well-modeled star schema fit for Power BI greatness. We will demystify the differences between OLTP and OLAP, walk through star schema vs snowflake (and why Power BI has a clear favorite), and show you the compression differences between normalized and columnar storage that will make you never look at an OLTP model the same way again. We will cover the different types of dimensions, when to use them, and how to handle Slowly Changing Dimensions without losing your mind. You will leave knowing exactly how to identify a bad model, how to convert OLTP data into a clean star schema, and how to forge relationships that rule them all. Whether you are a data wizard, a curious hobbit, or somewhere in between, your models will never be the same.