Sigma for Financial Services
Finserv organizations, like many other industries, depend on dashboards to make critical business decisions, but more is needed to provide a complete state of the business. Taking action on this data requires ad hoc analysis with complex on-the-fly calculations at the lowest level of detail on top of billions of records.

DATA-DRIVEN BUSINESSES USE SIGMA FOR FAST, EASY, AND POWERFUL ANALYTICS








What Sigma can do for Financial Services
Analyze all of your financial data in one place to improve analyses.
Explore data unconstrained
Sigma gives business users like the Securities and Valuations team direct governed access to data in Snowflake. Requests no longer have to be submitted to a developer in another timezone. Analysts can access data on their own in 5 minutes. Ungoverned Excel macros on desktops no longer need to be created, thanks to the scale of the Sigma worksheet.

Embed and analyze
Embed dashboards both internally and externally to ensure that all of your clients have access to the data affecting them daily. This can cut down the time your team takes to answer clients questions from hours to minutes.

Accelerate Decisions
Risk analysis, trader analysis, and investment analysis are all time consuming and require using massive sets of data. With the ability to analyze billions of rows of data in Sigma, these analyses can be done faster so that ad hoc requests are decreased and time to value is increased.

Create personalized experiences
Insurers have access to financial assets, age, location, preferences, interactions, and behavior data from their customers. Sigma can help provide detailed insights about demographics and product features that help improve your companies bottom line.

Explore our Customer Stories
Additional Resources
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.