This But Not That Filtering in Sigma Computing
In the complex world of data analytics, organizations are constantly asking for new and different insights from their data. One of the most common ways
The Ultimate Modern Data Stack Migration Guide
This guide was co-written by a team of data experts, including Dakota Kelley, Ahmad Aburia, Sam Hall, Katrina Menne, and Sunny Yan. Imagine a world
Sigma Computing Data Modeling Do’s and Don’ts
Throughout my analytics journey, I’ve encountered all sorts of data models, from simple to incredibly complex. I’ve also helped everyone, from data newbies and data
Sigma Made Simple Recap Blog
Welcome to the #SigmaMadeSimple Blog Series, where we bring you a comprehensive collection of short-form how-to videos, tips, tricks, and best practices to simplify your
dbt and Sigma Integration
The modern data stack (MDS) has seen massive changes over the past few decades, fueled by technological advances and new platforms. As a result, we
Duplicate or Copy? Choosing the Right Action in Sigma Computing
Sigma Computing is a cloud-based analytics and business intelligence platform that allows users to explore, analyze, and visualize data from various sources. Sigma Computing offers
How To Use The KPI Element in Sigma Computing
As businesses continue to embrace data-driven decision-making, Key Performance Indicators (KPIs) have become an essential tool for organizations to measure and monitor their progress toward
How to Create Ranks and Top N Filters in Sigma Computing
Sigma Computing allows users to quickly analyze and visualize their data in just a few clicks. One of the key features at the user’s disposal
How To Use InDateRange & InPriorDate in Sigma Computing
In data analytics, time period comparisons are a powerful tool for identifying trends and making informed decisions. However, performing these comparisons can be challenging, especially
How to Create Funnel Charts in Sigma Computing
As someone who uses data to make informed business decisions, you are presented with so many options to analyze your data. The number of visualizations,
