Sigma Blog: Data Analytics

Discover how SaaS analytics can drive growth, improve retention, and optimize your product. Learn key metrics and strategies for data-driven success.

Discover how natural language processing (NLP) can help your data analytics reporting go smoother with better analysis across datasets.

Discover how data smoothing to remove outliers can help your data analysis provide clearer insights.

Explore how data products enhance decision-making, drive revenue growth, and anticipate market trends. Understand how predictive analytics and strategic insights can position your business for long-term success.

Optimize Databricks costs with Sigma's new Usage template. Easily analyze usage trends and cost data, empowering data-driven decisions for all skill levels.

Learn how to uncover trends, drive informed decisions, and create stunning dashboards. Discover the art and science of dashboard design, tailored to meet your business’s needs. Master selecting the right charts, adding meaningful context, and leveraging preattentive attributes. Use color strategically and minimize visual noise for clearer insights. Arrange dashboard elements effectively and provide access to next-level insights and underlying data. Elevate your data storytelling with actionable dashboards.

Enablement leaders need a data-backed strategy to gain a seat at the decision-making table but often lack the necessary analytics infrastructure and expertise. This blog explores the challenges of the infrastructure and skills gap in data analysis and introduces Sigma as a solution. Discover how Sigma empowers enablement professionals to merge live data, enrich datasets, and understand data context without coding, transforming them into data-savvy leaders who can drive insights independently. Learn how to bridge the insights gap and think like a data-savvy CRO with Sigma.

Learn what a data application is and how it can transform business operations by making data actionable, improving efficiency, and integrating seamlessly.

Legacy platforms are falling behind as data grows and evolves, leaving organizations at risk of unusable data. Sigma and Snowflake provide a unified, dynamic analytics platform that combines data lake reliability with customizable security insights. Discover how this powerful combination addresses modern security challenges, enables efficient vulnerability management, and enhances security investigations with comprehensive visibility and seamless integration. Learn more about optimizing your security strategy with Sigma and Snowflake.

Discover how Sigma Computing successfully raised $200M in their Series D fundraising by building a robust data room. Learn how to enhance your data room for effective investor communication and streamline your fundraising process.

A Sigma Labs analysis of Gong data to determine what kind of—and how much—small talk will get a prospect engaged and more open to trusting them. The results will surprise you. 👀

Hedge funds in the data era: Uncover their evolution from basic data use to sophisticated, data-driven strategies reshaping market analysis and investment.

In the ever-evolving realm of data analytics and business intelligence (BI), adaptability and efficiency are paramount. To stay competitive in this data-driven era, organizations are continually seeking ways to optimize their operations while keeping costs in check. 

This blog outlines how Sigma is being used within Sigma to explore PR data to determine the productivity of engineers and their managers.

This blog outlines how Sigma is being used within Sigma to explore data and solve for a practical customer support use case.

Companies are still operating with tools built decades ago—missing out on all of the scale, speed, and governance provided by the cloud data warehouse. Shouldn’t there be a better way? Now there is—Sigma’s Input Tables.

Embedded analytics eliminates the need for separate tools or dashboards, allowing users to explore data, create visualizations, and quickly generate reports.

You can now encapsulate any aggregate calculation—such as profit margin, churn rate, or net present value—into reusable fields that you can drag and drop into your workbooks.

A recap of the entire event and how Sigma was helping data professionals learn more about cloud data warehouses and data analytics strategies.

Discover the key LookML limitations that frustrate teams, and see how Sigma’s no-code approach connects directly to data without complex modeling layers.

Hear from Joe McFarren, Sr. Solutions Engineer at Sigma, as he shares his knowledge and experience from implementing Sigma at multiple companies.

Learn how Sigma enables collaboration between data practitioners and business users to build, test, and productionalize data products fast.

Learn why and ow US Foods re-invented its Warehouse Management System with Sigma.

A lack of data governance can lead to wasted time, missed opportunities, costly regulatory fees, and more. Learn the top 10 benefits of data governance here.

A blog post about ways to convince your team to try a new analytics tool.