Sigma Computing Reviews and Ratings

Use Cases and Deployment Scope

We utilize Sigma for internal reporting on client traffic and behavior, enabling us to understand the differences among various sectors and demographics. It is also used in an embedded context for client-facing reports on similar metrics.

Likelihood to Recommend

We were able to set up client-facing embedded reports with ease and security. The interface is not difficult to learn, although we may not be aware of or lack the necessary expertise to utilize more advanced features that would likely benefit us.

Use Cases and Deployment Scope

I use Sigma Computing to discover, interpret and analyze business trends, that then influence where efforts are directed in expanding business.

Likelihood to Recommend

Sigma Computing is easy for your data team to manage, provide access to, and compartmentalize access and information sharing when needed. It provides quick and easy snap shots to share with your Board, financiers, and/or customers allowing you to spend time on pitching/fixing/bettering your product.

Use Cases and Deployment Scope

We use Sigma Computing majorly to create detailed data-driven reports and dashboards which are then used by various departments to make informed business decisions. From Sales department to internal IT, Sigma Computing helps address the BI needs and solve problems with data representation. Sigma Computing at our org is used for human resource utilisation analysis, which is vital for understanding and planning for additional workloads without compromising on performance and stability.It is also used for performance metrics and KPIs tracking ensuring that senior management and relevant stakeholders have access to vital performance data.

Likelihood to Recommend

Scenarios where Sigma Computing is well suited: - Data Reporting and Visualisation : It is suitable for dashboards that integrate data from multiple back-office systems - Search and Filtering Capabilities: It provides a robust platform for searching through datasets and visualisations. Scenarios where Sigma Computing is less appropriate: Handling of null values and dynamic table adjustments

Use Cases and Deployment Scope

We used Sigma Computing to deliver multiple dashboards to client. The interface is very user friendly and the spreadsheet like features and calculations makes it easy to learn for the people who are working on spreadsheets. The ability to filter datasets using parameter and also the Row level security that can hide access to any rows from unauthorized access is a big add on. We have also implemented calendar heatmap using pivot table which was appreciated by the client as well.

Likelihood to Recommend

Sigma Computing is well suited where you want to save your time in building the dashboards and have a self service based UI where a person can make changes very easily to the dashboard and the people who are working with Spreadsheets and now want to switch to some BI tool it will be really easy to learn and work on.

Saving costs for the client in multiple ways like embedding, Running warehouse queries etc.

Use Cases and Deployment Scope

Great data visualization tool without having to be a data expert! Combines the best parts of Excel and Power Bi in one.

Likelihood to Recommend

Sigma Computing is the perfect tool for those looking for excel / spreadsheet user interface that comes with all the power of a cloud data warehouse. It provides end users with a low code environment to build and access all the rich data our data engineering team has created without needing to know complex data wrangling techniques.

Use Cases and Deployment Scope

We used Sigma Computing to deliver dashboards. The interface is very user friendly and the custom options that Sigma Computing provides are very helpful. The power of using control IDs of the filters as the parameters directly in the SQL query is a big hit. We have connected our front end application filters with the Sigma Computing dashboard filters and made them communicate with each other.

Likelihood to Recommend

If we have very huge data that has to be filtered based on the selection in the workbook filters, then passing the control IDs of the filters as the parameters directly in the SQL query is a great help. This way helps us in optimizing large SQL queries as well. If we want our front end application filters with the Sigma Computing dashboard filters to communicate with each other, we can certainly do that in embedding with the help of the control_ids.

Use Cases and Deployment Scope

I'm using Sigma Computing primarily to capture and track all KPIs related to customer service. In addition to that, our organization is using Sigma to track all KPIs across multiple different systems. Sigma allows our business users to be able to create, view, and manipulate data how they feel like it is needed.

Likelihood to Recommend

As long as you have data experience, Sigma Computing is a pretty straight forward tool. The ability to embed charts, workbooks, and different assets publicly is very useful especially when needing to send something over to a user. This is a better and cleaner way than to just send over a screenshot of a chart.

Sigma Computing is hard to use however when you are building so many different charts and workbooks, it is impossible to search for a chart that exists inside a workbook. In addition to that, when needing to answer a one-off question, the only option to create is to create a workbook or a new dataset. This means that the best way to test or find a one-off question is to create a workbook called "sandbox", or something temporarily which is not so clean.

Use Cases and Deployment Scope

We use it to embed onto our website for client-facing reporting and internal reporting for our teams that need to see our Sigma data but don't have access to our database. The client-facing reporting is being used to show customers specific data they want to see, but we don't want to give them Sigma access.

Likelihood to Recommend

Sigma computing is great for customers looking for easy BI solutions that offer various ways to show reporting for their company. It doesn't work for customers looking for much more in-depth and aesthetically severe reporting. Like the layering that Tableau offers and the very specific changes you can make to graphs.

Use Cases and Deployment Scope

We use Sigma all day everyday to achieve our production goals and monitor current progress at just a glance. It aids us in planning and addressing issues that we may confront through out the day.

Likelihood to Recommend

Its a great tool to have. The ability to come in the morning and by using the report being able see how the day will go. Seeing the goal and the current inventory and also to be able to adjust as the day goes on. With the report updates the report as changes to the inventory happen live or if any issues arise. being able to see that live and being to react quickly.

Use Cases and Deployment Scope

Used for KPI dashboards, monthly/quarterly financial reporting, tracking data sets, and manipulating data. I have used Sigma to make dashboards interactive, creating input tables for different teams to adjust scenarios on the fly. I have also created many datasets in the background to improve the calculation and loading speeds of common Excel dashboards.

Likelihood to Recommend

Sigma is well suited in table creation and showing aggregations at different levels. I enjoy using it to create clean tables that automatically update based on datasets/snowflake tables that they are connected to. It is less appropriate for external reporting because you are not able to adjust column colors and some other nuances in formatting in its current state.