Sigma

We use Sigma Computing as a secondary business intelligence tool. Our primary reporting is in Looker, but we use Sigma Computing as a quick way to prototype reports and perform ad hoc analyses. It fits into our tech stack as more powerful than Google Sheets but quicker to implement than Looker. So we often do metric reporting and analysis of product usage in Sigma Computing.

Non-technical users struggle to use Sigma Computing as there is a learning curve to understand the UI. At least in our instance, all reports must be fed by a custom SQL query. Most analyses in Sigma Computing are performed by the analytics team for these reasons. After dashboards are created, non-technical users can generally make small edits.

Sigma is arguably used by the whole organization. We have lots of viewers, but very few regular users. As far as I can tell, Sigma was selected on the basis of its usefulness in gatekeeping data from the organization, rather than encouraging transparency. In my assessment, Sigma makes it extraordinarily difficult to find reporting and analysis that has already been done... which is useful if you're on the gatekeeping side of the gatekeeping-vs-transparency trade-off spectrum.

Sigma is just the interface that allows me to share reporting slightly more easily than simply sharing the raw output of a SQL query inside of a spreadsheet. In that sense, it is better than nothing. But I'm pretty sure I could improve upon Sigma by eliminating Sigma and replacing it with a combination of Excel and Dropbox. The implications for Sigma are not good.

We use Sigma to pull in data and create automated reporting from Snowflake. This creates an easy way to parse the data that lives in Snowflake. Sigma is incredibly fast and does so many things that Excel by itself is simply not equipped to do. The amount of data it is able to pull in quickly is remarkable.

Sigma has allowed for quicker analysis which has provided more accurate and timely information for both internal and external clients.

We are using Sigma [Computing] to provide embedded dashboards to our customers in our product. Sigma [Computing] is also being used internally within our company by different departments to run day-to-day operations.

Sigma makes it very easy for end users to explore, analyze and visualize data. The spreadsheet like interface is intuitive and requires no training for end users. This makes it easy for users to transition to using Sigma. Sigma is being used by a wide variety of departments in our company to run operations.

Sigma is the main reporting tool that is being used at Roofstock, in addition to Tableau. It is being used across the organization answering all our data questions.

Sigma is the main reporting tool at Roofstock, so it has definitely impacted the business decisions.

Sigma is used as the primary data visualization software at our company. It's being used by departments from Marketing, Sales to Operations and Finance. Our teams use Sigma to answer questions and make decisions using data.

Sigma has helped non-technical users who are only familiar with Excel access huge databases and perform complex queries very easily. This data would previously remain inaccessible to these users.

It's being used across the board. We generally use it for summarizing the loan app statistics across all the banks, prepare the data for campaign, and troubleshoot product issues

I'm not involved in business uses.

It addresses the problem but allows for efficient pulling of different types of data. Our company has different groups of data sets stored in the database, Sigma Computing allows us to pull particular, relevant data for clients and daily tasks. We have shared scripts that pull from different tables and gather together pieces of information in an organized and sorted layout. I occasionally will make a pivot table or chart within Sigma Computing but usually download information as a spreadsheet.

It's allowed us to have access to more and more types of data. We can share scripts across the company to give everyone access. The platform allows for making charts and graphs directly rather than always downloading a spreadsheet initially. I'm still working on this but see a lot of potential.

Sigma is our BI tool for internal reporting/dashboarding and data-driven decision-making. We use it primarily for sales, marketing, inventory, and operational needs, but finance and other departments also use it. It enables us to answer ad hoc business questions, build dashboards for repeated, frequent use, and other analytics and monitoring.

Sigma has definitely improved access to data for non-technical users but that requires investment by data and analytics teams to provide quality data sets - whether in the form of well-maintained tables and/or well-written SQL. User adoption hasn't been the most successful aspect of our Sigma usage, but that may be more of an organizational issue than a Sigma one as any tool takes time and effort to learn and Sigma is no different.

Sigma is currently being used the central data analytics and visualization tool for all facets of our business. We've integrated it with Snowflake, which houses data across all critical business systems. Sigma is the user-facing tool available to tap into those data blocks, serving the needs per department.

Since Sigma is the primary data tool used to tap our Data Warehouse, all departments have and continue to use Sigma to analyze trends within their respective areas to make critical decisions.

Sigma is being used by many departments at our company including Accounting, Finance, Treasury, Cash Management, IT. The data we surface in Sigma allows many different business users to analyze company data without having to request it from internal groups within the company. Historical financial data from the GL is the most heavily used dataset in Sigma and was previously only available by query out of our ERP system. Now people throughout the company can self-service and do their own trend analysis on financial items that relate to their business units. Other departments are loading their own data in Sigma and utilizing Sigma's powerful data shaping technology to analyze and share datasets with other colleagues at the company.

Sigma has allowed business users to get into the company data more quickly and easily compared to requesting offline manual data dumps. It has allowed our groups to analyze historical trends in a self-service way and come to conclusions much faster. This has allowed many finance groups to improve their forecast accuracy.

It's the main BI platform used across the board. We made datasets available for the people to build their own analysis as well as build ready-to-use dashboards.

They made it available in a super user-friendly way, resembling how MS Excel displays it, which has fostered its adoption in most of our teams.

Our team uses Sigma for data analysis and visualization purposes. It allows us to better communicate key performance metrics to our clients.

Sigma gives us direct access to the various data sources our company uses. It also grants us the flexibility to join in CSVs, etc., against those databases for more custom reporting. The flexibility ensures that our analysts are positioned to deliver better insights and execute better strategies for our clients.

We use Sigma Computing as a data analysis and visualization tool for performance marketing and website analytics data stored in a cloud data warehouse.

Sigma Computing allows you to access and visualize data from multiple sources much faster than other comparable tools. The speed of access allows for much more efficient analysis at scale.

We use Sigma Computing across all departments. We use to organize leads coming from different channels.

Like I mentioned before Sigma Computing helps in organizing all our data in one place and each of our departments can access the data set they want with ease.

We started utilizing Snowflake cloud data warehouse and needed a client-face visualization tool. We've been able to customize the UI to make it feel like it's a part of our platform. So far clients are loving it and they didn't have to wait too long to get all the new reporting and data tools.

Our internal BI team hasn't gotten too deep into Sigma. They're still stuck on Tableau. But for the few reports that we were able to glue together some different data sets, it's been a big win. There's one report in particular that only Sigma can surface, and this is a report that helps us catch critical pieces of information.

We use Sigma for all reporting needs from selling and returns, to inventory management and customer engagement. It has been an extremely useful product for all departments as we are able to customize all of the necessary data for whatever project we are trying to analyze. What's even better is you don't have to know how to code to create your own worksheet!

We always have the most up-to-date information about our business with Sigma. We're able to pull reporting at any time and see everything live in the moment. We are able to track things down to an extremely granular level which has helped us immensely. We're able to make better decisions in all departments with this up-to-date data.

Sigma computing is used to create reports that are embedded [in] the app. It is also used across the organization for internal reporting needs.

Yes. With Sigma Computing, business users are able to do their own analysis and get answers faster.

Driving self-service descriptive and diagnostic analytics by function by enabling analysis through sanctioned data sets.

Sigma allows us to perform year-over-year analysis of several key metrics across billions of rows of data, with the ability to drill in and identify the needle in the haystack quickly. With Tableau and other reporting tools, this was not possible before.

We use Sigma to create dashboards and reports to allow the organization to access data from our data warehouse. This allows users to make better decisions based on data. We also use Sigma to push data to Google Sheets - which helps improve manual processes and ensures that we can always have up to data in these sheets.

Yes! Sigma Computing's toolkit for non-SQL users to explore data is the best of any tool I have ever used. This has allowed members of the marketing team to quickly dive in and find their own insights without needing active support from the data team (besides occasional help and the initial training).

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.

We used Sigma Computing to analyze data across the organization, but especially in the sales org. We found that we weren't able to get the data and analytics we needed from our CRMs alone and relied heavily on Sigma Computing for that.

We did benefit from this--I myself do not know SQL but did explore data and build visualizations.

Sigma [Computing] is being used across our entire organization as our Business Intelligence hub for all of our data across all of our business functions. For marketing we use Sigma for business performance reporting, campaign performance reporting, customer segmentation, cost monitoring and a range of other ad hoc analysis.

Immensely. I am a business user that doesn't know SQL. Thanks to Sigma I haven't had to learn it and been able to focus more on my business instead of learning SQL.

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.