My main use case for Sigma is for enterprise dashboards, which is originally why I brought it in, and self-service analytics. A quick and specific example of how I used Sigma for enterprise dashboards is that I built a centralized reporting dashboard for our marketing team. My main use case for Sigma supports the entire organization, and one of the big reasons that I initially brought it in was I was able to connect it to our Snowflake environment and let one of our SVPs know that it was connected. Before I got a chance to really train her, she had set up her own dashboard. It was a comprehensive dashboard that had at least five tabs on it, and it was actually really good. I could not believe that she set it up by herself with no training.
Execution Lead Principal Data Analyst at a comms service provider with 5,001-10,000 employees
Real User
Top 20
Jan 8, 2026
My main use case for Sigma is to make processes lean, as our company is a 30-year-old company with many old processes that we are trying to simplify. A specific example of a process I have simplified using Sigma is our data warehouse ETL processes and reporting tools. Day-to-day, our reporting reports and databases get bigger, and since we had not used reports or tables effectively, we use Sigma to simplify and find these.
Head of Marketing at a tech company with 51-200 employees
Real User
Dec 4, 2025
My main use case for Sigma is that there are a bunch of reports, and many of our main reports are built on Sigma. I use it as a dashboard, review the reports, filter through there, and use it to help make decisions. A quick specific example of a report or dashboard I use in Sigma that helps me make decisions is that it lists the number of reviews that we have gotten for a certain product or a certain campaign, and I can reuse that in my marketing to say that we have done X amount of whatever. It is mainly a reporting dashboard that I use for keeping track of certain things.
Customer Success Manager at a tech company with 51-200 employees
Real User
Oct 19, 2025
My main use case for Sigma is to check on the status of our accounts, my accounts, and my programs. I love using a tool where I can analyze the return visits of leads that we've already sent to customers. I use Sigma for analyzing those return visits by loading it, setting the fields for a particular account of mine, and I can see the leads that we've sent. In analyzing, I let Sigma do its magic and can run another report that tells me every time one of those lead accounts has returned to PeerSpot to continue their research. This has been an invaluable resource for me to share with some of our customers to help them understand the value of our audience in showing how their leads are continuing to visit and do their research, which provides our customers with great intelligence for their account scoring and lead handling. I'm using Sigma to check on all the programs. That was one of my favorite use cases, but to see how many leads have been delivered, to see how many reviews have been collected, to see how many review interviews have been set up, how our outreach center is contacting prospects for leaving reviews. There are a lot of different use cases for Sigma.
The project I worked on with Sigma involved creating a migration assessment tracker. We fetch all the data from the Tableau server and the cloud through the metadata API or the REST API. Then our data engineering team puts that particular data through the Alteryx workflow, refines all the components, and pushes the data into Snowflake. We then connect Snowflake with Sigma. With that report, you can compute how much time it will take to migrate a particular site, how many workbooks exist, how many tabs are in Tableau, the duration required, and the complexity of the workbook based on the calculations. The report also shows if any workbook is associated with upstream workflows or how many published data sources exist. We brought this information onto Sigma and created our report accordingly to estimate the migration time. It serves the marketing team by ensuring that when receiving a project involving migration from Tableau to Sigma, they can estimate the time required. It estimates all efforts based on these complexities, the size of the Tableau server, and the number of users involved.
We use Sigma for all of our data visualization and reporting. It works off of Snowflake, so it pulls in data from Salesforce, NetSuite, our website, and Google Analytics. Via Snowflake, we're able to have unified, single views. Sigma serves as the visualization and reporting front end.
Technical Lead at a tech vendor with 10,001+ employees
Real User
Top 20
Feb 12, 2025
I use Figma for UX wireframes. My UX team creates the actual UI and prototypes to demonstrate UI behavior. Afterward, we collaborate with the PO and PMs to refine further. Once finalized, the UI wireframes are used as a base for developing the actual UI, leveraging CSS provided by Figma for consistency. During testing, Figma serves as a reference for checking alignment, font sizing, color, and behaviors.
The tool is used to create wireframes, grayscale, and high fidelity, but the major use case of the solution is related to the team's areas that manage user experience and UI design. Basically, I just use the tool whenever I have to review some prototypes, designs, or wireframes, and apart from that, I don't create anything with the help of the product.
Sigma enhances data tasks with an Excel-like interface, encouraging collaboration and non-technical user engagement. Its strengths include handling vast datasets and facilitating real-time data exploration, appealing to industries aiming for data-driven decision-making. Sigma stands out with its capabilities for real-time collaboration and ease of use due to its Excel-inspired interface. It supports engagement with large datasets and prioritizes strong data governance. Key features include...
My main use case for Sigma is for enterprise dashboards, which is originally why I brought it in, and self-service analytics. A quick and specific example of how I used Sigma for enterprise dashboards is that I built a centralized reporting dashboard for our marketing team. My main use case for Sigma supports the entire organization, and one of the big reasons that I initially brought it in was I was able to connect it to our Snowflake environment and let one of our SVPs know that it was connected. Before I got a chance to really train her, she had set up her own dashboard. It was a comprehensive dashboard that had at least five tabs on it, and it was actually really good. I could not believe that she set it up by herself with no training.
My main use case for Sigma is to make processes lean, as our company is a 30-year-old company with many old processes that we are trying to simplify. A specific example of a process I have simplified using Sigma is our data warehouse ETL processes and reporting tools. Day-to-day, our reporting reports and databases get bigger, and since we had not used reports or tables effectively, we use Sigma to simplify and find these.
My main use case for Sigma is that there are a bunch of reports, and many of our main reports are built on Sigma. I use it as a dashboard, review the reports, filter through there, and use it to help make decisions. A quick specific example of a report or dashboard I use in Sigma that helps me make decisions is that it lists the number of reviews that we have gotten for a certain product or a certain campaign, and I can reuse that in my marketing to say that we have done X amount of whatever. It is mainly a reporting dashboard that I use for keeping track of certain things.
My main use case for Sigma is to check on the status of our accounts, my accounts, and my programs. I love using a tool where I can analyze the return visits of leads that we've already sent to customers. I use Sigma for analyzing those return visits by loading it, setting the fields for a particular account of mine, and I can see the leads that we've sent. In analyzing, I let Sigma do its magic and can run another report that tells me every time one of those lead accounts has returned to PeerSpot to continue their research. This has been an invaluable resource for me to share with some of our customers to help them understand the value of our audience in showing how their leads are continuing to visit and do their research, which provides our customers with great intelligence for their account scoring and lead handling. I'm using Sigma to check on all the programs. That was one of my favorite use cases, but to see how many leads have been delivered, to see how many reviews have been collected, to see how many review interviews have been set up, how our outreach center is contacting prospects for leaving reviews. There are a lot of different use cases for Sigma.
The project I worked on with Sigma involved creating a migration assessment tracker. We fetch all the data from the Tableau server and the cloud through the metadata API or the REST API. Then our data engineering team puts that particular data through the Alteryx workflow, refines all the components, and pushes the data into Snowflake. We then connect Snowflake with Sigma. With that report, you can compute how much time it will take to migrate a particular site, how many workbooks exist, how many tabs are in Tableau, the duration required, and the complexity of the workbook based on the calculations. The report also shows if any workbook is associated with upstream workflows or how many published data sources exist. We brought this information onto Sigma and created our report accordingly to estimate the migration time. It serves the marketing team by ensuring that when receiving a project involving migration from Tableau to Sigma, they can estimate the time required. It estimates all efforts based on these complexities, the size of the Tableau server, and the number of users involved.
We use Sigma for all of our data visualization and reporting. It works off of Snowflake, so it pulls in data from Salesforce, NetSuite, our website, and Google Analytics. Via Snowflake, we're able to have unified, single views. Sigma serves as the visualization and reporting front end.
Our primary use case for Sigma is reporting.
I use Figma for UX wireframes. My UX team creates the actual UI and prototypes to demonstrate UI behavior. Afterward, we collaborate with the PO and PMs to refine further. Once finalized, the UI wireframes are used as a base for developing the actual UI, leveraging CSS provided by Figma for consistency. During testing, Figma serves as a reference for checking alignment, font sizing, color, and behaviors.
The tool is used to create wireframes, grayscale, and high fidelity, but the major use case of the solution is related to the team's areas that manage user experience and UI design. Basically, I just use the tool whenever I have to review some prototypes, designs, or wireframes, and apart from that, I don't create anything with the help of the product.
Our primary use cases for Sigma are exploratory data analysis and reporting and dashboarding.