Sigma Blog Index

In this guide, we’ll explore the benefits of using marketing analytics and the challenges modern marketers face.

Learn what it means to foster a data-driven culture, and five best practices that will get you there.

Most companies now expect greater and more frequent collaborating with data across teams to make discoveries and inform strategy.

Data modeling is necessary for organizations that want to analyze and understand the growing amount of data they own.

You know ad-hoc reports provide value to your company. But when you’re constantly being bombarded with requests, it can feel like you’re living in “report factory hell.” You’re continually interrupted by other people’s emergencies, which produces stress. And because you have other high-priority things to do besides delivering ad-hoc reports, insights are often delayed — so important decisions are made without data. The situation isn’t good for anyone. But it doesn’t have to be this way. Let’s look at how you can implement ad-hoc reporting in a way that delivers important insights for your domain experts across marketing, sales, and other departments without wreaking havoc on your sanity.

Read how investment in Sigma has helped Blue Bottle Coffee inform some of its most important business decisions, and how Sigma helps them manage growth.

Explore the different types of structured data and how they can drive insights, enabling analysis of past trends, real-time tracking, and future predictions.

Struggling with Excel for complex data analysis? Uncover 5 key limitations and see how cloud analytics can transform your decision-making and your business.

Dashboards help you leverage data for better decisions. Check out our tips for building dashboards that simplify information and deliver actionable insights.

Find out how to implement real-time analytics effectively, ensuring fast data processing and instant insights to support timely decision-making.

Organizations must bring together all the silos of data into one central data platform so people can access it and analyze it—that's something that both Snowflake and Sigma facilitates.

If you’re rethinking your data infrastructure or migrating it to the cloud for the first time, you might be wondering whether to go with a cloud data lake or cloud data warehouse. But what’s the difference, and why does it matter? Learn more.

A dashboard allows an entire team to interact, visualize, and analyze their data. However, before you build an analytics dashboard with your cloud data.

Start by conducting exploratory data analysis to see if anything interesting jumps out at you, especially in your domain of expertise.

Calculate moving averages effortlessly with our guide. Improve your data analysis, filter out noise, and reveal true trends in your datasets.

With Sigma, you can create interactive maps using latitude and longitude, or map paths and areas utilizing geoJSON.

Read on to learn how to jumpstart your startup analytics with cloud BI.

Learn about and compare ETL vs. ELT data pipeline methods, and determine what really matters when choosing a modern solution to build your data pipeline.

Upload any spreadsheet into Sigma, and use Sigma’s tools to join that data with live data in your cloud data warehouse. Learn how you can take advantage of Sigma’s CSV upload feature.

Share Sigma BI dashboards directly or embed visualizations wherever you need them—in a private company portal, third-party application, or a public web page that’s available to anyone.