Sigma Reviews

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.

Compared to other BI tools, each tool has its own capabilities. Sigma has excellent features, such as lookup tables where you can easily bring data that are not interrelated or at different granularity. Because in Tableau, you can see various LODs. To create those same functionalities in Sigma, we generally use lookup tables and replicate that functionality there. It has multiple good controls such as segmented controls. It also provides tab options with the inbuilt feature in the interface itself. If you need to create a similar thing in Tableau, you need to create separate sheets or buttons. Sigma provides several cool features. You can create multiple visuals, and the maps functionality is very good in Sigma. We explored all the charts that Sigma has provided in its interface. Although Sigma is introducing some AI capabilities, that has yet to be explored from our side. We have explored the interface part, creating dashboards, and managing data sources with joins and relationships.

As we are exploring multiple features in Sigma, I think Sigma can add more functionality. As Power BI gives multiple modeling options in its interface with the query editor, those features can be added in Sigma for intuitiveness or for making the data very clean. From the dashboarding perspective, it performs well. However, from the modeling perspective, it requires more capabilities that can be added in Sigma.

The main improvement needed is in data modeling capabilities. If they add those features in the near future, it would be very helpful for us to implement the same or do the data cleansing part in the Sigma tool itself.

I have almost eight years of experience working with Tableau and Power BI. For Sigma, I have been working for the past two years.

I am not sure if my company purchased Sigma through the AWS Marketplace.

We did not face typical errors during our project with Sigma. In the near future, if we receive support from Sigma, that would be more helpful. There are multiple teams in my organization working on Sigma projects. We have not connected with Sigma support yet. In the future, I can provide more detailed reviews.

If data is substantial, in Sigma's case, the data is always live. It is not a kind of extract, whereas Tableau provides both live and extract functionality.

On the scale of 1 to 10, I rate Sigma an 8.5 because there are multiple tools whose setup needs to be done, and the servers are also on physical machines such as Tableau server for maintaining all those components. As Sigma is a cloud platform, you do not need to do all that maintenance work. Regarding visualization and data modeling, as mentioned earlier, they can improve on those aspects. The functionality and interface have improved significantly with their latest versions. Previously, all options were on the left-hand side, and now there are floating themes at the bottom where you can easily select all options and create a good dashboard.

Positive

In Tableau, you have filter actions where you can select any particular sheet, click on that particular button, and the data is filtered accordingly. You can do a similar thing with the help of actions in Sigma. You can even change the dynamic axis. If you want to change the X-axis and Y-axis, you can do it with the help of controls, the segmented controls, and with the help of actions.

Setting up Sigma is not complex. If you know all the components through their documentation, you can easily implement it as the documentation they created is comprehensive and contains all the necessary information.

As we are a hybrid team, operating from India as well as the US side, we do the development part and our US team connects with the clients and deploys all components in the environment. We are primarily developers, but we can also manage the publishing and other tasks.

Regarding the differences between Sigma and Tableau, for visualization, Tableau is the best tool I have worked with because you can change the visualization accordingly by creating different calculated fields. Sigma could add more visualizations. In Tableau, you can do forecasting with the help of the analytics tab. If Sigma also adds these features, it would be beneficial. In Tableau, there is a smoothing model you can select to do forecasting, create good trend lines, and add effective reference lines while creating trends.

I prefer to remain anonymous. Based on my experience with Sigma, I would rate it 8.5 out of 10.

My main use case for Sigma is to build dashboards for sales reps to compare their sales metrics to other sales reps. Along with that, I used it to access important data sets for the Business Intelligence team at Workato and make any changes to the data sets necessary.

One example of a dashboard I built is where sales reps would often have sales competitions where they would track the amount of leads contacted or the amount of successful sales within a certain time period in order to compete against one another. These dashboards are the most common use I have for Sigma, which are dashboards for the sales reps to compare their sales metrics to other sales reps.

I also used Sigma to look at the accounts and other databases that we had as a company. Using Sigma to create dashboards and visualize data was probably the most effective use case of Sigma.

In particular, creating dashboards and visualizations for leadership was made very easy and simple through Sigma. Being able to visualize data quickly and efficiently while also being connected to all of the Snowflake databases made things incredibly simple and easy for our company overall.

In my opinion, some of Sigma's best features are simple table manipulation, simple dashboard creation, and simple connections for manipulating data.

The ease of use of all of these features was definitely remarkable. One feature I forgot to mention was Sigma's support team. I struggled to figure out how to connect a couple pieces of data a few times, but after reaching out to Sigma support team, I was able to create a solution within minutes, thanks to all of their help. Without Sigma support team, I definitely would not have been able to do all the things that I did with Sigma. What made those features stand out was the ease of use and the flexibility of the various features within Sigma.

Sigma is valuable because you can do pretty much anything you need to do within Sigma. If you need to run a custom SQL query, you can do that. If you need to build a visualization of a data set really quickly, you can also do that. It is very easy to learn for new users, and it is very easy for people that do not have technical backgrounds to learn how to use as well.

I cannot remember specifics, but there were one or two times when I wanted to build something in a dashboard but Sigma would not let me compute the math in the way that I wanted to compute it. It felt like it was a little bit limited in ability because there were very specific functions and specific mathematical computations that Sigma allows you to do, and if you want to do something outside of that, it did not seem like it was possible. There was one time where even with a Sigma support agent, we could not figure out the most effective way to accomplish the task and run a query that we wanted to.

Expanding features and abilities and functions within Sigma could be one way to improve Sigma.

I have been using Sigma for about six months while I was an intern at the company called Workato.

I felt that Sigma was stable.

Our data sets were quite large, but I saw no visible impact while using Sigma. Sigma seemed to scale just fine with our large data sets and could handle anything we threw at it.

The customer support is a 10 out of 10, hands down. The support staff are all professional users of the product itself and they are available almost 24/7 and helped me to come up with solutions to all of the problems that I had. Sigma support team is probably the best thing that Sigma has in my opinion.

I would rate the customer support 10 out of 10.

Unfortunately, as an intern, I cannot necessarily comment on return on investment. However, it definitely saved me time and reduced the need for more interns.

Sigma definitely improved collaboration overall as an organization. The ability for RevOps, BI, and sales to all coordinate and collaborate on a project because of Sigma's impact was extraordinary in my opinion.

I rate Sigma an eight out of ten. I give it an eight because its ease of use and quick integration capabilities are what helped me. However, if it was able to do all of the computations and queries that I needed it to at the time, I would have given it a ten. Those last two points that kept it from being a ten are from the slightly limited ability of Sigma.

I would encourage others looking into using Sigma to use the support team whenever possible if there is something they did not know how to do within Sigma.

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.

The best features Sigma offers include the self-service functionality, which was a really big deal, as well as their very good data apps and integration with Snowflake. Sigma is also moving into the AI space, as a lot of companies are, and they are doing a really great job at it.

The data apps feature stands out for me because it was just more focused data that is easier to get to, not having to do just the regular dashboards.

Sigma has positively impacted my organization because we were able to retire an old enterprise reporting tool that was homegrown, which involved a lot of canned SQL and parameterized SQL, making it a lot easier for us.

After switching from our homegrown reporting tool to Sigma, we noticed that a set of employees were able to create their own dashboards, allowing other organizations within the company to really take off and not depend on BI after that. So that was one of the big things.

I think Sigma can be improved by continuing to do what they are doing in leaning into AI and leaning into the Snowflake integration with AI. All of the conversational features that they have recently rolled out are really great, and I think that is mainly it. It is about being able to hold people within the tight context of the data in the dashboard and being able to interact with it conversationally.

I cannot think of any needed improvements right now, even something minor.

I have been using Sigma for three years.

Sigma's scalability as our data or user base grows is very easy, especially with the organizations.

Sigma's customer support is excellent, and that is actually one of the other reasons why we ended up going with Sigma, as we are able to hit the question mark and ask for support and get real live people that are very knowledgeable. Their support I really think is a 10 out of 10.

Positive

For actual users, I find it very easy to get into and adopt Sigma.

Sigma's performance when handling large data sets or complex queries is wholly dependent on the Snowflake warehouse, so if we do not want to burn too many Snowflake credits, we keep it on a smaller warehouse. Usually, it is okay, which is mainly because what we are trying to do is also be careful with our Snowflake budget.

I think Sigma handles data security and compliance requirements for my organization really strongly since they integrate with Snowflake security as well.

I do not know that we really had any big integrations, but we did have a couple API integrations with some homegrown tools, and that went pretty smoothly. They have been getting much better at that.

I think the level of customization Sigma allows for dashboards and reports is very good and getting better, but the other big thing is really what they are heading towards with more of the data apps.

My advice for others looking into using Sigma is to make sure your data foundation is set. I just do not think it is a smart idea for any tool to go after your transactional data; you should at least have some sort of data model so that way you are not querying 10 years of data when you only need last month or last year.

I think Sigma is a very strong company, and I consider them one of the top vendors in the space. The only question that I would have is that I have not had a chance to look at some of the newer agentic, AI-only tools. I would rate this review as a 9 out of 10 overall.

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.

Having those dashboards set up in Sigma has made things easier for me and my team because it's just going into one report. There are a couple of different tabs in the same report rather than opening multiple different dashboards and reports from Salesforce, and that just speeds things up and saves some time.

Sigma has positively affected my organization by saving us time in accessing information, which ultimately gets us to complete projects faster.

I understand the value and would say I get through tasks 25% faster using Sigma.

Sigma can be improved in terms of speed; it would be great if it could process the data even faster. I think it's more of our use of it that I'm not responsible for in getting the Salesforce data into Sigma. Sometimes I can't find what I need or the data isn't quite uploaded correctly, but I think it's a problem of the entry into Salesforce, not getting it over to Sigma. It would be nice if the reports also included more graphics and were more visually pleasing or compelling rather than just data.

We started using Sigma as a company about a year and a half ago.

I think Sigma is stable.

I haven't used customer support at all.

Neutral

Before Sigma, we used a different solution, but I don't remember what it was called. I wasn't involved in the decision to make the switch, so it's irrelevant. Sigma is a good choice.

I have seen a return on investment with Sigma; we already said that it saves about a quarter, it gets me to answers about 25% faster.

When it comes to pricing, setup cost, and licensing, it has nothing to do with me.

I don't know if my team evaluated other options before choosing Sigma.

I'm not doing any customization with Sigma. The ease of use is there. It takes a little while just to get used to it. Sometimes when I'm running an estimate for leads, in my haste, I try to get the answers, but I need to wait for it to finish processing all the data, which is totally reasonable. But it's pretty easy to use.

My advice for others looking into using Sigma is to make sure you set up the reports and the dashboards in the most efficient way. Ask for feedback from your teams if multiple people are going to be using it. Because once it's set up, it's a very powerful tool. But if not all the perfect data is in there, then it's just not going to do its job.

On a scale of one to ten, I rate Sigma an eight.

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.

Sigma offers the ability to pull a lot of data, and I think the filtering is pretty good.

The filtering feature in Sigma helps me because you can get pretty in-depth, and I just appreciate it because you are able to drill down on whatever you are looking at.

Sigma has positively impacted my organization because I think it has been a huge impact, and we use it for all our reporting and our dashboards for tracking. It is a really big, integral part of our company.

I think Sigma can be improved because, for the last ten months since I first started here, this is my first time ever using it, and I think there is a steep learning curve. It is not as intuitive as I was hoping, so once you figure it out and get going, it is easy to use, but I would say at the very beginning, the learning experience is kind of hard.

I have been using Sigma for ten months.

Sigma is stable from what I have seen.

Sigma's scalability is nice because everybody on the team has access and uses it, and it is nice that permissions are easily set as well, so you only get to see what you need to see and you can share what needs to be shared.

I have not had to use customer support, so I cannot rate the customer support on a scale of one to ten.

Negative

I did not previously use a different solution before Sigma.

I manage user access and permissions within Sigma, and that process is very easy.

I stay updated with new features or updates in Sigma, but I am not personally involved in that. I do not receive any notifications about that.

I have definitely seen a return on investment through time saving because once the dashboards are built, they are built. Once we get them built, you are able to share with whoever needs them, so you get live data, and it has been a huge time saver.

I do not know much about my experience with pricing, setup cost, and licensing because I am not heavily involved in that.

We did not evaluate other options before choosing Sigma.

My advice to others looking into using Sigma is to take the time to learn how to set it up at the get-go and understand that there is a learning curve. I would rate this review a seven out of ten.

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.

The best feature Sigma offers, in my opinion, is the measurement part.

The Measurement feature helps me and my team with Sigma measurement, as we use these measurements to find unused reports.

Sigma has positively impacted my organization by creating a culture that we are trying to add to all processes, simplifying our processes and improving our analysis effort.

Before the Sigma project, we had many graphs in the system, and when we made an impact analysis, it gave us many tasks to complete. After Sigma, we simplified it and removed old processes, so when we try to make an impact analysis, we get fewer tasks to complete.

Some procedures or rules could potentially be simplified, though I have not thought extensively about how Sigma can be improved.

I have been using Sigma for one year.

I access and interact with Sigma by using Six Sigma. If others are looking into using Six Sigma, I would advise that it is useful to use Six Sigma if they have any problems to solve.

I rate Sigma an eight on a scale of one to ten because it is really good and affects our company processes positively.

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.

Sigma is widely adopted across our organization for creating dashboards and reports. The solution feels more modern than Tableau, and it's not as sales-oriented, offering a more generalized approach. The visual appeal of Sigma stands out, as the graphs and charts look visually nicer compared to Tableau. The use of Sigma in decision-making, presentations to customers, and reporting to investors showcases its value in handling data-related tasks.

I would love to be able to create my own reports in Sigma, as I can do in Salesforce. Either we are not using it properly, or the software is too complicated. It would be great if there was a way for me to create reports without relying on a data analyst. I'm interested in the upcoming AI co-pilot to enable natural language generation of visualizations and reports. Also, the marketing materials did not match what I feel we've received. Regarding pricing, Sigma's pricing doesn't allow more people to have the ability to create their own reports. We have very few admin or report creator licenses, while everyone else is on a view-only mode.

We have been using Sigma for around a year and a half.

We previously used Tableau. We found Tableau to be a less modern solution, and we hoped Sigma would be more self-serve. However, it's not more self-serve than Tableau.

I didn't perform the initial setup. The migration from Tableau took quite a bit of time, indicating that it could benefit from being more straightforward and easier.

While I don't have specific metrics, Sigma is integral to our business processes. We use it in decision-making and for customer and investor presentations. It's essential for everything data-related within our company.

The pricing of Sigma is a concern, as it restricts our ability to provide more users with report-creating capabilities due to the high cost of admin or report creator licenses. Most users have view-only access.

I did not participate in the evaluation process, but our data analysts considered other solutions besides Tableau and Sigma, though I can't recall which ones.

Determine your requirements carefully as there are many data visualization tools available. Each has pros and cons, so ensure Sigma fits your needs. Additionally, I rate Sigma an eight out of ten because it meets our needs, but there are some disappointments with the software.

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.

The most valuable feature of the solution for me stems from the fact that it revolves around the product's ability to let me review the prototypes since I am not a user of the tool. The tool's interface is easy to use. The functions listed as a part of the menu items are easy to use.

I have used the product on the cloud and the browser and found no issues with it.

The product's roadmap regarding introducing new features in the solution or new versions of the tool can be made better in the future.

I have experience with the product.

For me, it is a stable product, as I never faced issues with it.

People create or design 1,000 to 2,000 screens, so it works well.

I have never contacted the product's support team.

Previously, my company used to use Adobe InDesign or Adobe XD. My company switched to the current product that we use from the previous set of solutions owing to the ease of use that it provides and its cheap licensing cost compared to other tools in the market.

No configuration is needed for the product since I just had to create my account to use it, and within 30 seconds, I could use it.

It is a good tool for designers and those involved with the UX part. If you want to create rough, grayscale, high-fidelity prototypes, the product works well. Lately, I believe that the product has introduced an AI element that helps to ensure that you can do your job faster since it adds a layer of AI to create prototypes. With AI, the product's user just needs to dictate the terms, and it probably gives out a rough prototype from scratch.

The product is easy to use for even a person like me who doesn't know what to do in the designing part or how to operate the UX part. The product is also cheaper to use, and the tool always comes up with new features, like the AI feature.

I rate the overall tool a nine out of ten.

My primary task involves creating reports and dashboards by extracting data from Snowflake, which consolidates information from various sources like Salesforce, our website, and Google Analytics. The goal is to provide insights and generate reports, such as sales reports for our sales team. These reports cover crucial aspects like total revenue, individual sales performance, goal achievements, and commission calculations. I use Sigma to perform calculations in the background, allowing end-users like sales managers and the finance team to access and analyze these reports effortlessly. It also offers a comprehensive overview for our CEO, enabling them to monitor various aspects of the company, including sales, finances, expenses, and product delivery. Each employee can access relevant information tailored to their role, facilitating better decision-making and job performance.

The most valuable aspect for me is having real-time data. I don't have to worry about deciding how much data to extract or when to perform extractions. All I need is to ensure the data is in Snowflake, and from there, it seamlessly flows into Sigma.

While Sigma excels in quick and straightforward visualizations, it currently lacks some of the intricate options that Tableau offers. If Sigma were to incorporate these advanced visualization capabilities, it could be a game-changer. The ability to create complex visualizations in seconds, a strength already present in Sigma, coupled with the sophistication of Tableau, could reshape the landscape of data visualization tools.

I have been using it for three months.

Sigma has proven to be consistently reliable, ensuring uninterrupted access without facing server-related disruptions.

You have the flexibility to easily add or delete reports in Sigma, including incorporating new ones without any complications. In terms of users, the advantage lies in the fact that viewers are free and their allocation is unlimited. This has been particularly beneficial for us, as the majority of our users fall into the viewer category. This simplified the process, allowing anyone who simply requires viewing access to be added without any limitations. For users needing additional capabilities, such as making adjustments or creating content, a license purchase is required. However, these users with extended functionalities are limited, and we don't have a substantial number of users falling into this category. We have future plans to expand and continue our utilization of Sigma.

I am extremely satisfied with their technical support. During a challenging month when I had to transition everything to a new platform and was unfamiliar with creating basic features, their support was invaluable. In contrast to my previous experience with Tableau, where I would resort to online searches or contacting external companies, Sigma's support is exceptional. I could simply enter the live chat, ask my questions, and receive immediate answers. This significantly expedited the process, contributing to the month-long transition period. Their customer support was consistently reliable and responsive, making the overall experience highly positive.

Positive

Before adopting Sigma, our tool of choice was Tableau. Upon exploring Sigma, I found that it addressed everything I ever felt was missing in Tableau, especially in meeting the needs of our users. Sigma not only provided the features I had been looking for but also introduced convenient options like input tables, user-friendly visualizations, and the ability to view raw data instantly without the need to download it to Excel or any external platform. It seamlessly incorporated all these aspects within the Sigma platform.

The installation process was incredibly straightforward — simply logging into the router, and that was it. Setting up the connection with our Snowflake account was equally swift, taking around twenty seconds, or half a minute, to input the username and password.

Sigma is an official partner with Snowflake, streamlining the integration process. By adding Sigma as a partner within the Snowflake account, all the necessary features are automatically configured, making the setup in Sigma seamless and automatic. This entire process, including the partnership setup, took me less than a minute. Once the setup was complete, the main task was to recreate all the reports from Tableau in Sigma. Despite the volume, around fifty to sixty reports, this took me approximately a month. The initial challenge was recreating each report, but the efficient integration and setup made the transition smooth, allowing for a relatively quick adaptation of the reports in Sigma.

Ultimately, despite being more expensive than Tableau, Sigma is worth the investment based on the pricing plan we signed up for. In 2024, being the first year of using Sigma, I am confident that we will witness improvements. The value of Sigma lies in its ability to save time and provide instant insights, allowing us to focus on our tasks and deals. The return on investment (ROI) becomes evident when users can directly attribute efficiency gains to Sigma.

The viewer license is free, and the available licenses are for creators. The retail price is set at one thousand dollars per creator per year. Additionally, there is a platform fee of thirty thousand dollars per year, which is a fixed cost.

When we switched from Tableau to Sigma, we didn't consider other tools. It never crossed my mind to replace Tableau; I had been consistently using Tableau, even in my previous job. Sigma came into the picture when they reached out to me on LinkedIn, asking if I was familiar with it and interested in learning more.

Sigma is like an advanced version of Excel. If you have even a basic understanding of Excel, especially its fundamental functions, using Sigma becomes intuitive. Our revenue operations manager transitioned to Sigma almost immediately and, as one of the creators, hasn't used Excel much since. In just two months, Sigma has empowered her to handle tasks independently, eliminating the need for frequent requests on how to perform certain actions or make adjustments. As a data analyst, this shift has freed up a considerable amount of time, allowing for a more focused and confident approach to the actual job. Currently, I would give it a rating of nine out of ten. The only minor area for improvement lies in handling highly complex visualizations. However, overall, I am highly satisfied with the outcomes we've achieved so far.