Sigma Reviews

It is being used across the company. It is our primary Business Intelligence tool and it allows us to surface reporting in our app. All of our reporting and dashboards are presented through Sigma, both internally and externally.

We have not benefitted from this, the people who actually build the reports know how to write SQL and the people that don't know are only consuming the information we output.

Our entire organization uses Sigma, which sits on top of the Snowflake database. Sigma allows me to pull raw data from Snowflake without having to know SQL. I use Sigma to pull down raw data for sales transactional data, payer mix data, and financial data. Sigma allows me to pull data from several tables and join them together to make reports without having to use Excel.

Yes - Since I do not know SQL, Sigma has been an amazing tool to help me pull down raw data. I believe that I'm not the only person in the organization that doesn't know SQL, and because of that, we have implemented Sigma across the organization. Every department has the need for data, and the ability to retrieve those data, and Sigma has helped with that.

Sigma Computing is being used across the company's whole organization with an emphasis on drawing sales data to provide forecasting as well as current business that is booked and invoiced.

Sigma Computing is the BI tool used across our whole organization. It is used to generate reports used internally. Sigma reports are also generated for clients and embedded on our app

The BI team is able to create Datasets in Sigma which non technical users can connect to, to explore data and build visualizations quickly

Sigma has been great for creating reports of financial data and corresponding visualizations. We've been using it for reporting payment and invoicing data. It helped consolidate the data across multiple data silos.

I'm confident with using SQL but Sigma also provides nice visual way to do things. Using SQL helped me tremendously in analyzing recent problems with fraud and getting started with Sigma quickly.
Without using SQL, I would've struggled through the user interface, but through usage of SQL that I'm so familiar with, I was able to get things done quickly and efficiently.

Sigma Computing is being used to analyze data reported by a network of android-based devices in the field, and the manufacturing info for those devices. In particular, my team uses it to track errors or issues that are reported. Sigma allows us to see trends for issues as they arise and predict future failure rates.

This has been helpful to me. I have had some experience writing SQL queries in the past - and while I can do it, it is much faster and easier to use the interface provided in Sigma Computing. I haven't had to do any particularly complex queries yet, but I would be interested to see how Sigma can handle increased complexity.

We use Sigma Computing as our secondary Business Intelligence (BI) tool. It is used to create sales reports for external customers to track their records. Our internal sales team uses the reports to manage the sales budget and revenues. It is being used by across the company. The target users are people who likes spreed sheets and no technical background is required.

The primary users of Sigma in our company are people who likes Excel or spreadsheets. We do have users who write complicated SQL queries inside Sigma too. However, the spreadsheet interface makes the non-tech users intend to try a new tool like Sigma.

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.

This is what I would describe as the primary benefit to using Sigma at our company -- the world of data analysis has opened up beyond those that have spent years formally studying and/or working with data. An understanding of SQL is certainly helpful but not at all necessary to benefit from Sigma. We have a number of users from the design and marketing teams, they were previously dependent on the data analytics team, but have been able to greatly reduce the number of requests simply due to our implementation of Sigma.

Sigma Computing is used by our BI and analytics team for ad-hoc reporting and analysis. They also use it deliver scheduled reports in Excel format to business users. Sigma Computing allows us to quickly create reports and perform analysis.

We've quickly created reports completely in the UI and delivered them to end users, joining and filtering source data without having to write any SQL.

It is used by multiple departments across the organization to analyze and report business data, mostly transaction data across multiple domains. The tool helps to solve the business problem of measuring the KPI (key performance indicators) of programs. We set up the queries to measure the performance indicators and report those on a regular basis.

Yes, all reports used by PMOs have been set up in a spreadsheet format. We have been using these reports without having to learn SQL.

Sigma is a data analytic tool that is used in my whole organization, it helps those who are not proficient with SQL to analyze data easily.

Definitely! Before, our team always needed to rely on data analytics team to write SQL queries and run the report for us to act on issues we have, this is not efficient and time consuming. After we started using Sigma, all our team members can explore and analyze the data for the information we need that is critical to make decision.

Sigma Computing is only really being used by our marketing department at the moment to track traffic and view bookings, conversions, and revenue. For us, it is a tool to get quick insights into conversion rates, looking at traffic sources, device types, etc. We then use this to make decisions through other tools and platforms. It is especially useful when looking at country-specific breakdowns.

I personally have very limited experience with SQL, having a data scientist who completed the setup for us. So without tools like this, I would not be able to fully do my job. There have been significant benefits from employing this kind of tool.

We're using Sigma [Computing] as our data visualization tool - so all data passes back from Google Analytics and is then fed into Sigma.

It is being used by the entire organization.

We were unable to visualize data before through Google Analytics - we would just take the raw data and dump into excel. Now with Sigma [Computing] we can easily create tables and show data in a different way.

N/A aside from pivot tables we haven't made many data visualizations

Sigma Computing is used most often by our Mintel Futures team. I believe it is used to host and run a dashboard to make our GNPD (global new product database) data making it easy to read and manipulate. My team (consultancy) uses this aggregated data to shrink project development time and decrease potential error.

Absolutely, I think all of my other responses speak to this, too! The tool has made it possible to put all of the different types of data Mintel tracks, but specifically new product data, in one place that is easy to read, understand, and change. This has made it possible for my team to spend less time working on creating a "story" looking through endless Excel spreadsheets of data while also reducing potential error.

We see Sigma being used as a complement to Tableau or PowerBI for the power users. They are using Sigma to rapidly gain access to data, even in its raw form, to assist with curation, and create a proof of concept insights. Traditionally, this process took weeks or months--now it's hours.

Yes, our clients have benefited greatly from this feature. Including the ability the create calculations and experiment with how they would to see the data.

Sigma Computing provides a vital link in our ticket reissuing process, allowing a link that greatly reduces the time to find this information when working on customer service issues. We have trained all our agents on this process so if they ever need to use it they can access it readily. This reduces the need for them to send this on to a supervisor. Previously we would have to search the system to try and find this information and often not be able to retrieve it.

Greatly reduced the time it takes agents to research customer service issues.

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.

Not having to know SQL in order to use a BI product would be a basic requirement, in my opinion—if you have to know SQL, the product is not worthwhile. Most of our users do not know SQL. They do seem to feel comfortable with the spreadsheet-like interface.

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.

Allowing non- or less-technical partners to self-serve questions saves our Product and Data team immense amounts of time, and/or allows us to answer questions that might have been dropped had we not had such a powerful tool. The insights this provides is invaluable in helping us prioritize new features and understand the impact of past ones, as well as dig in to understanding issues that arise with customers.

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.

For connections with Snowflake, we have been using SQL as the data source is relatively complex, and using SQL is no issue. But for a case where data has been imported from CSV it was crucial that the datasets could easily be refreshed. We have not as of yet had to link tables from non-SQL sources.

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 Computing allows less technical users like myself to combine disparate data sources and still build meaningful insights and stories.

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.

This allowed many users in my organization that don't have any prior experience in writing SQL queries to be able to work in Sigma and create worksheets after a few tries.

I am a manager in our Customer Service Department where we use Sigma to compile and report data related to our KPIs. We recently switched to Sigma company-wide for all our data needs. While I can not speak to the use case for the rest of the company, I use Sigma daily, monitoring dashboards to make informed decisions.

Our Data Analyst is proficient in SQL, but I have noticed the turn around time for a report request has been much quicker now that we use Sigma.

Sigma Computing is mainly used by our client-facing Customer team to build out customized reporting for clients based on their specific needs.

We've definitely benefited from this. The vast majority of folks on our team (including me) who are using Sigma on a day to day basis to build out reporting do not know how to write SQL queries.

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.

The benefit is more time for data analysts to do analysis work or work on ETL that makes more data available. End users have been able to do a lot of exploring on there own without taking the time of a data analyst. This was often not the case.

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.