Sigma

2025 Week 39 | Sigma: Can you Navigate?

Introduction Sigma’s new features keep coming and they don’t stop coming and this past week was no different. We got two powerhouse features that eliminate SO MUCH EFFORT from maintaining beautiful workbooks: Navigation Elements and Custom headers. Today, I wanted to focus on those, since I have a feeling we’re all going to be adding …

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2025 Week 38 | Sigma: Can You Make Some S’notes?

Can you create a data request and approval app? Introduction This week, we’re proving Sigma isn’t just for crunching numbers – it’s an all-weather, cross-functional tool. The challenge is to step outside pure analytics and build a lightweight,  system for managing notes and reminders. The goal isn’t to replace your task app. It’s to show …

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2025 Week 37 | Sigma : Can you picture this in your data?

Introduction Welcome to Week 37 of 2025! Numbers tell the story, but sometimes a picture says it faster. This week we’re charging up our Sigma skills by adding images into table cells and playing with maps. You’ll learn how to make your tables more visual, show dynamic elements like battery levels or icons, and bring …

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2025 Week 36 | Sigma: Can you spark a conversation?

Introduction Welcome to Week 36 of 2025! This week, we’re going to learn how to use a new feature of Sigma:  Sparklines!  We’re going to use sparklines to enhance sales data over time and illuminate some potential data issues.   Then, we’ll create a mini Data App that allows end users to flag rows as with …

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2025 Week 35 | Sigma: Can You Improve Your Data Quality?

Introduction We’ve had a few weeks of beautiful data apps on Workout Wednesday, but today I want to focus on something that will make your data apps even cleaner, and that’s the quality of your data! I love the ‘Transpose’ feature that Sigma added a few releases ago, and it enables quality control (QC) checks, alerting, …

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2025 Week 34 | Sigma: Let’s Request Some Data Changes

Can you create a data request and approval app? Introduction This week, we’re moving beyond analysis and into data apps. We’re going to solve one of the most persistent problems in any data-driven organization: data quality. The challenge isn’t just to clean data. It’s to build a complete, self-service system that empowers your business users …

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