Sigma Reviews

Sigma is used throughout Teachable, from executives to engineers to Finance to Customer Operations. Its ease of use has allowed us to democratize data so that it is equally valuable to people in a wide variety of roles. It is used by Product Managers to build dashboards providing insight for Engineering Teams to see how the products they build are affecting our users. It is used by Fraud Analysts to examine transactions and look for bad actors on our platform. It is used by Marketing to filter tables of attribution data to see how specific campaigns are performing. It is used by the QA team to monitor builds and watch for problems in our test suite. In short, business users in every department at Teachable are using Sigma on a daily basis to derive the analyses they need to make decisions.

We use Sigma across the entire company to conduct all our business intelligence research. We have lots of dashboards to track company and team level metrics of all sorts, as well as ad hoc sheets to answer specific questions. Pretty much all our understanding of our business besides event-based analytics (for which we use Mixpanel) comes from Sigma. We migrated from Looker.

Our system's usage is captured in Snowflake. Sigma was perfectly tailored to access Snowflake and quickly allow us to build internal dashboards to monitor the usage, track the efficiency of our changes and produce reports easily and automatically communicated to our clients without any ETL/publish phase. The Excel-like UI is particularly convenient and the ability to embed public dashboards (with constantly refreshed data) without a complex licensing model is extremely valuable. We are now exploring other recently released functionalities and taking full advantage of the ability to work with semi-structured data.
We have also been working with clients willing to build their own dashboards and advising some to use it (though we'd deal with the proof-of-concept) to analyze data we don't own and potentially link it to ours.

Simga Computing is used by the entirety of the data analytics team, as well as a few select individuals like myself, that need to perform data analysis. I believe the plan is for more of a company-wide implementation to be adopted, but outside of engineering, operations, and data analytics, the audience/value will be limited.

Sigma's cloud-based platform offers the benefit of quickly querying large amounts of data, those that would never be able to be effectively run in Excel/Google Sheets. Furthermore, it expands the 'proficient data consumer' population across the company, as SQL (or other query language) skills are not required.

We use Sigma Computing across the whole organization to analyze and report sales performance, finances, and glean insights into how our customers use, succeed, and struggle on our platform.

Sigma is being used by a majority of our organization. We use it for reporting purposes and to help generate KPI dashboards to track important metrics. It helps our organization to gain a better sense of clarity into how we are performing, what we need to improve on and share valuable insights with our teammates.

Sigma is used as a self-service business intelligence tool across the company. It has taken a lot of load off the data analyst since we started using it, as people are able to get a lot of their own data and do their own data exploration.

Sigma is used across our organization both as a visualization tool for reporting and by our department to pull and slice line item detail. It has helped the business more efficient at answering complex issues.

We use Sigma across all our organization. We use it mostly for customer-facing and internal reporting purposes.

We use Sigma across the org to gather business insights. We've found it indispensable to be able to run reports on the fly and be able to dive deeper into our data.

Some members of the organization use it to tap into Snowflake.

We use Sigma Computing to develop dashboards - these dashboards display information on security analytics and Snowflake personnel analytics. It is used across the entire organization and solves several of our analytical hurdles.

We're using Sigma Computing in parallel with other reporting tools to allow business users to define and modify reports without having to learn SQL or submit a ticket to an analyst who does. It's used across the organization but has not been fully adopted yet.

Sigma Computing is being used by the data team at my company to provide insights to many teams across the organization. The specific way our data team uses it for my department is to provide reports on a) customer usage/health metrics for our SaaS product and b) financial metrics. I then use Sigma Computing to properly filter and massage that data to identify the users that my department directly contacts with the goal of maintaining/increasing customer health and reducing churn.

We are beginning to implement it across the organization as a way to democratize access to data. Decentralize the access so that it's not just within the data/engineering team and so that it's accessible and workable for other departments like sales and marketing management to use as a way to power informed decisions as well as identify key insights.

We use Sigma Computing to develop business reporting from our business analytics data. Sigma Computing effectively solved the problems of accessibility to the data and adoption of usage with our non-analyst users. Our front line managers found it to be very easy to use and understand because its interface modeled after simple spreadsheet sheet usage which they are already familiar with. Thu,s they did not need to learn the language of analytics to do more complex tasks like regressions and correlations.

We use Sigma Computing as one of a set of data tools for analyzing customer behavior. I maintain it as a marketing tool, but also build our dashboards for other departments, such as product developers, and biz dev.

The big win for me with Sigma Computing, is that it allows me to take a set of queries that I would normally run by hand once a week, or once a month, and lets me view the data almost instantly without having to pull and manipulate it. I set up my queries one time, perform any translation or added layers I need (which Sigma is great at, stuff I can't do in Excel or anywhere else automatically) and then push them to a dashboard that I can load each morning.

Originally, only one team had been using the platform for analytics. Over time, the Sigma platform has gained popularity among a number of different teams due to the ability to create neat dashboards and visuals.

The data team introduced Sigma in order to find a self-serve solution for other teams especially the non-technical roles. We want to enable people to get the data without writing SQL.

We use Sigma primarily for pulling usage data. We use this data to drive internal goals/KPIs as well as to provide customers with data/information on how they are using in the tool - to drive adoption.

We on the account management level, use Sigma to run a report to see our customers' usage of our specific features. I am not 100% if we have any other department use of Sigma, maybe the Product Team does. It helps us find out how specific users on the account are utilizing our features.

Sigma is used for visualizing and reporting on cybersecurity data. For example, tracking how our computing environments meet our standards, and tracking that partner teams are meeting SLAs.

It is used across the whole organization to dive into and compile the data that we had to source individually before. We are able to do many things with it depending on the department but my biggest use of it is to get a full-picture of each of our partnerships and gauge how successful they are.

It allows us to share large data sets to be sorted quickly by local teams.

It's used across the whole organization for internal and external purposes.