Sigma Embedded Analytics
Embed All the Data and All the Insights for your Customers
Monetize your Data with Embedded Analytics
Embed Sigma’s powerful analytics capabilities in your customer-facing products seamlessly and securely. Increase your product’s stickiness and value-add by providing your customers with easy self-serve access to their data within your product. Maintain competitive advantage with Embedded Analytics and drive increased revenue through monetization opportunities enabled by Sigma embedding.
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Sigma Embedded Analytics Capabilities
Rapid Deployment with Built-In Scalability
Sigma’s embedding methodology allows you to roll-out embedded analytics in your products and portals in as little as a few hours. New insights and changes to existing insights can be deployed to your customers instantly, thereby increasing customer satisfaction. Embeds scale automatically because of Sigma’s architecture that leverages the power of your underlying warehouse.
Robust Security
Continue to authenticate your customers using your application’s existing sign-on framework, without needing to worry about provisioning or authenticating users in Sigma. Sigma leverages one-time use, unmodifiable URLs to secure each user’s session. Sigma provides a variety of row-level security mechanisms to ensure each user has access to allowed data.
RLSBranding Consistency
Leverage Sigma’s theming ability to deliver an embed look and feel consistent with your application’s brand.
ThemesExtensive Monetization Opportunities
With Sigma Embedded Analytics, you can finally monetize the power of data gathered by your applications. Select the embedded dashboards that your customers and partners should see based on the role they play in your application. Use Sigma’s Account Types for fine-grained control over embedding features enabled for each user. Build an embedded analytics tiered-license scheme for your application backed by an extremely straightforward Sigma embedding licensing model.
Account TypesExplore our Customer Stories
"Sigma eliminates risky data extracts and keeps your data safe inside the Data Cloud, which makes me feel confident that my data is always secure and compliant,” says Chris. This confidence made it possible to share data externally with customers using Sigma's embedded analytics functionality."
Chris Lambert
CTO at Payload
"It was essential for SIA to share dashboards through embedded analytics, but could not easily do so with Tableau."
Ryan Scheuermann
CTO at Sales Impact Academy
"Now that our Sigma dashboards are in place, we are strongly positioned to scale up and continue to deliver high quality, powerful data analytics to all new clients that we bring on board."
Carrie Chadwick
SVP of analytics at The Well
"If you had told me a year ago that we were going to switch embedded analytics' providers, I would’ve told you, you were crazy. Looker was integrated throughout our application. However, after running into enough roadblocks, limitations, and support issues, we started searching for alternatives and finally implemented Sigma."
Taylor Perkins
Co-founder & CTO, Slope Software
"With Sigma, we saw a market opportunity that no one else could help us capitalize on."
Cary Sparrow
Founder & CEO, Greenwich.HR
"Sigma seemed to have a lot more potential in terms of capabilities and ease of use. It was a much more polished experience out of the box, and I’ve been impressed with the additional features that keep coming out regularly."
Adam Danisovszky
Data Science Visualization Engineer, Wurl
Additional Resources
Embedding Journey
This whitepaper outlines the key steps involved in embedding Sigma in your application.
Sigma Embedded Analytics Methodology WhitepaperBuild vs. Buy
A question that often arises when thinking about providing data and analytics to your users is if you should build these assets in-house or buy a platform.
CalculatorWebinar
We are Sigma.
Sigma is a cloud-native analytics platform that uses a familiar spreadsheet interface to give business users instant access to explore and get insights from their cloud data warehouse. It requires no code or special training to explore billions or rows, augment with new data, or perform “what if” analysis on all data in real-time.