Domo Reviews

I use Domo mostly for three reasons: 

1. To create connections with several applications and obtain data from those applications, e.g., Google Drive, Google Sheets, or Google Analytics. 
2. With those connections, I love to upload data to Domo and transform that data in different ways. I create ETLs to join the data. 
3. When I join the data, it is transformed into a card where the client can see his data in a graphical way. From this, he can understand how his company is performing, because the data which I upload is from their call center(s). 

Domo is not for fixing errors. We don't fix anything with the database. Domo is for processing data and showing the data to clients. They can see how their company is with calls, and if they are selling well or not. 

For our clients, who have call centers, it is very important. For example, they need real-time data and Domo allows them to obtain data every 15 minutes. It updates the data every 15 minutes with new issues to fix it for the moment and will detect if something is wrong, which is for the client, as they need to ensure their data is okay and everything is working. The client needs to know if their reps are working well and selling their products.

Domo has a lot of connections using APIs where you can use data from different databases, such as NoSQLs, SQL databases, and other connections. These connections exist to obtain data and transform whatever that you want. This is valuable because I work with Postgres.

You can also create two types of ETL: 

1. A graphical ETL.
2. It can be used cold with MySQL and transformed into whatever you want with the code.

It is pretty amazing; the things that you can do with this product.

If your ETL runs more than 24 hours, it always fails because we are logging a lot of historical data, and there is a restriction on the amount of data (in rows) that you can run. The technical support has not found a solution for this yet. Their recommendation is just to run less data, which does not work for us.

I would like the real-time reporting to decrease the range of output from every 15 minutes to every five minutes.

They could add create a card in a timeline to see how calls are going. Domo has a lot of features, but it does not have a timeline.

The stability is pretty good. We have not had a problem with losing data.

There is an issue with Domo's storage because there is a limit with it. In five years, the storage requirements for Domo will not work for companies.

We currently have 50 people using the solution, though we have only about ten full access accounts. The rest of the accounts are preview only versions.

If you have an issue with Domo, their response is less than an hour. Their support contacts you immediately when you send an email for an issue on a database or data set. Then, they follow their process and will always try to solve the problem in less than 48 hours.

We previously had a homegrown application that we used. We switched applications because of iOS limitations. 

Domo was already installed and configured when I started.

It's pretty simple to configure within a database and with another IP, like Google. It provides a step-by-step explanation of how to do something using stickers in the questions. Clicking on the sticker, it tells you more information about what you need to to do to configure something, which is pretty simple. It takes a minute to a minute and a half to set up.

We implemented in-house. 

It takes one person to create the configuration and the data sets to upload the data, then three or four more to create the cards. The cards will be where you will need more time to transform the information, because you need to know what clients need to create the card like the client wants or what they want to see in the card. Therefore, it needs around five to ten people working on the deployment, then maintaining the solution.

When implementing, you need to know what the client really needs and what do you want to create in Domo. 

We are making money from Domo, and all our clients are happy with the information that they receive from it. We have seen our customer base grow due to the product's usage.

Right now, we are trying to use Pentaho.

Domo has a lot of tools that other software, like Amazon, doesn't have.

Domo is a good tool, and you won't regret it if you chose it for your company, since it is a very useful tool if you want to check your data constantly and historically. You can compare and create graphics to compare the past with the present and estimate to see how your company is performing. 

Right now, the data is the most important thing in the world. Domo always tries to keep your data protected and available to you and your clients. This is something which  good with Domo. 

As our company increases in size, our usage of Domo will increase.

We use Datadog in conjunction with Domo, but they are two separate tools: Datadog is used for checking issues in the databases and Domo is used for uploading data from the databases. E.g., Datadog will inform you what is going on every second in the databases. It provides information if something is wrong or if one of the processes hasn't finished.

The solution was an aggregation of accounting information across the entire organization. Most of the controllers and accountants were using Excel or Access on their desktops in order to create the reports that they were generating. First of all, we parsed and imported all of the Oracle ERP and the other, JD Edwards ERP information into one, into Domo. And then we even imported some of the access database information from the other accountants into Domo and we generated the dashboard and KPI reports out of Domo.

The dashboarding itself was pretty easy. So both the front and the back end were positive in this case. Domo focuses very heavily on being able to get data out of the Microsoft domain which is helpful as it was automated.

I would like to see improved data intake. You have to work into being the tool that helps you do a really good job of data ingestion. So having a good data lineage, having the semantic layer and ontological model development in there, making the ingestion part of the tool really, really robust. Because in the end, data science is almost always held up by poor data tagging and unclean data. So the ability to really do good data ingestion is important.

I have been working with Domo for the past five years.

I think that it is a fairly elastic and extensible application that I would scale to as big as you needed it to be based on how much computing you put behind it. I do not think it has a problem there.

Technical support was very good, especially during deployment.

It was fast. I would say it only took four weeks. And two of the weeks were because of the customer, not because of the Domo implementation. So if you really had your act together and you were doing just what I was doing, which is linking data sets and generating standard monthly financial reports, which were already part of a template in there, it goes real quick. I imagine if you were not using templated reports it would not go as fast.

I think the ROI was a month and a half. It was really fast. Not only did I get seven people in the day-to-day aggregation of financial data, but they went from quarterly reports to real-time data. So that is something we could not measure.

I think it is reasonable. I will say that all of the competitors right now I think are a little pricey, but I am cheap.

Pay very close attention to your data catalog development. Do your best to drive towards a common data catalog across the entire enterprise. So you do not have data that is tagged similarly from different data sets. I would rate Domo a seven out of ten.

We currently use Domo for automation of our reports. I'm connected with a large company and I focus on talent acquisition and analytics. We are mostly pulling reports from Oracle BI, reports that are used by our talent acquisition staff. We connect our Domo database to OBI and pull the reports from there. The visualization and the rest of the analytics functions are stored in Domo.

Domo is a great help to our organization because, prior to Domo, we were using an Excel base. We were highly dependent on Excel, including manual entries and encoding of data. We were quite heavy on that. But as we shifted to Domo, most of our reports were automated and displayed real-time for our end users. It's a really great help with our business, here in the Philippines.

It saves a lot of time. Without Domo, we would need more manpower to support our reports. Before Domo, we had a report-focus which required a headcount of two and there are only two of us on this team. Eventually, most of our work time was diverted into the reports: extraction, preparation, and consolidation of all the data coming from individual Excel files. It saves a lot of time as well as cost because we don't need to hire more people to work on the reports.

What really helps us a lot with Domo is that we are able to focus on our core functions. We are heavily dependent on data collection, data gathering, and finalizing data. The clerical functions are being isolated or reduced, as we shift to Domo.

I don't have dollar numbers, but in terms of hours, we have certain reports that were being generated after four to five hours of work a day. But in Domo, we need just 30 minutes to create that report. That report is being published every day, so it really helps us a lot.

What makes me really fond of Domo is the ETL because it enables us to maximize a single platform for pulling reports and automating things. We can send the raw data from a third-party platform and do the rest of the ETL in Domo, including transforming data, adding columns, etc.

There is also a built-in viz mode which is really helpful for us. We can do computations there and, eventually, see the computation results in real-time.

We have been exploring the key functions which, for us, right now, include dashboard creation and using the Magic ETL. We are focused on them because we do a lot of stuff related to ETL. We are also doing some blending, data transformations from different data sources. It's quite helpful because we don't need to do it outside the Domo platform. Before that, prior to discovering the blend function, we used to do it in Excel first and then upload it to Domo. Since discovering that function, we just pull the raw data coming from a system and Domo does the rest of what needs to be done.

In terms of the dashboard that they have created, they can do better. If you are quite new to Domo, and you're not familiar with how to play with the buttons, the options, you might get lost.

They can further help the user by providing better customization and options. For example, for customizations, instead of displaying a dropdown, why not just have a button for selecting which filters to show? That would really help users to explore faster and understand the data better.

I'm also using Domo in mobile and it's quite impressive. However, there are no options to edit using your mobile. That's a limitation. In the future, they should consider adding the edit function in mobile.

In terms of the analytics, there is quite a limited set of options when using Domo. Whereas with Tableau we can perform heavy statistical computations, Domo doesn't have that capability. Domo is quite limited on that side. They may need to consider improving on that in the future.

But overall, what I'm seeing in the system right now is good. It really helps a lot in streamlining our processes and enables us to focus on our core function.

Domo is good, as long as you have a good internet connection. That's one of the challenges here in the Philippines, which is one of the countries with a slow internet connection. When I was working in another company with a good internet connection and bandwidth, we were able to access Domo very easily.

I would rate the scalability at 7.5 out of ten. What differentiates other business intelligence software from Domo is that with other business intelligence software you can find tutorials on YouTube. For example, you can find several tutorials for Tableau on YouTube, but for Domo, I don't believe you can find any. It's difficult to find a training module for Domo, unless you are in the Domo University.

I haven't tried contacting Domo's technical support since I joined this organization.

We were using Excel prior to Domo.

All the organization's data is really important. With data you can measure how you are performing. The challenges in using Excel were, number one, integrity. Maintaining extra spreadsheets over time is really hard. Gathering and updating the data is really hard. Second, of course, is that there is a lot of manual work in Excel, unless you have someone trained to do queries or Visual Basic macros. That can help speed up the reports, but it may take time, again, to develop queries and programming for Excel. The driver for our switch to Domo was to speed things up and be able to deliver reports on time, accurately, and more reliably when compared with Excel.

It's relatively complex to implement. 

One type of ROI is that have been able to reduce the number of staff needed to prepare certain reports. Before using Domo, I would estimate that the company needed at least four people on the team to handle just the reports for our talent acquisition team. Now, we need closer to two staff. And that's just one team.

I'm not sure about pricing, but I believe Domo is quite costly. Prior to joining this organization, I had a Domo license with my former employer and I think that license was around $500 to $600 annually. That was for a single license. I think it varies, depending on the organization that is acquiring Domo.

Domo is a great tool, in my opinion. But the first thing that you need to consider is what kind of return on investment Domo can deliver. There are a lot of things that Domo can deliver. There are a lot of things that I haven't tried yet with Domo and I'm quite excited about trying them. But in terms of the ROI, there's a really great opportunity to save cost and time with Domo, particularly for if you are heavy on reports. If your organization needs certain data or reports in real-time, reports that help you to decide on certain issues, Domo can be helpful.

For the setup, the first thing that really matters to me is the importance of the fundamentals and training for users. If a user has not been well-trained to provide technical explanations to other users who eventually join the organization, it's quite difficult to understand Domo.

When I joined this organization, they had already been using for Domo but for less than a year. In terms of the reports, they are not utilizing it fully because they don't have any dedicated person to handle it. In addition, they don't have any trained personnel here, so there's no one to set up the reports, there's no one to explore the functionality of the system. It's quite a challenging role. We have been working on overcoming those issues.

As for increased usage in the future, we have a mandate from management that we're eventually shifting everything, all the reports, into this platform, because of its usefulness. It's quite good and I think the organization supports it.

It is being used globally in our organization. We have counterparts in other regions including India, Bulgaria, and the US. Our team alone has more than ten people who handle the business analytics. We are the ones preparing our records and data in Domo for all talent acquisitions for this organization.

I would rate Domo at eight out of ten. It's really quite helpful for me to use Domo. Domo helps a lot in terms of reports and streamlining the reporting process. It helps the organization to make decisions quickly.

I use it for data modeling and data structuring for my clients. An entire data set cannot be utilized for visualization. There are a few data points which can give us exact output, which clients use for their KPIs.

We try to minimize the data and extract the required data for the key performance indicators, which helps us to drive more monitoring results for our clients and to give them exact information, even in the forecasting.

The design dashboard has given us more leverage to customize things. And with the click of a button we can quickly extract the required reports and then share them to the client if the client does not have access to Domo.

It allows our clients to see data on their day-to-day business and to review things at the management level: how the business is performing, what regions are doing good numbers, which region is performing best, and where business is low. They need to find the reasons for differences in performance, whether its marketing or recruitment lapses, etc. They are able to share the insights with their counterparts and this is where the decision-making comes from.

The most valuable features are the

• ETL
• SQL.

ETL is the feature where we can do much of the data structuring, per the client's requirements. With ETL there are things a layman can understand.

SQL is the most used database system and we depend on it for the extraction of required data. However, unlike the ETL, SQL can only be understood by a tenured person who is into the details of SQL coding etc. That's the major difference between the two. Both are highly utilized at my end.

Over the time I have been using Domo, I've seen many updates pushing great features into it in new versions. Every new release has more and more insights. A major improvement was the design dashboards wherein we can customize dashboards with the KPIs that clients want to monitor on a day-to-day basis. And in a significant number of cases, we showcase monthly-review or quarterly-review data. They are quick enough that our clients can download the entire dashboard in a PPT and start their review. Others review things within Domo itself.

The forecasting feature, the regression features, and the Python libraries could all be improved. They're all in beta. It is feasible to go out and extract data from libraries and attach work to the libraries, but with the respect to initial insights, I would like to see more help from Domo. I would like more information on how to utilize those libraries.

I've been using the solution for almost two years.

New releases are communicated with a popup saying a new release will be coming through on a certain date. We definitely check the data to make sure everything went smoothly. We'll reach out to about any bugs through the active community forum. We have received the answers we need there.

I do see limitations with respect to the Domo Appstore. If a client has a specific requirement, we need to reach out to Domo and get things installed for them.

There is the Domo Community which is a live brainstorming session with Domo experts who answer any queries. I make myself available to participate in that, so that I get quick answers to my queries. If there is anything beyond that, we, as an organization, reach out to the community. We will first try solutions if someone else has had the same kinds of bugs. If they have the answers we can finish it up ourselves. Otherwise, we have a BI team that will reach out to Domo and get the insights.

Overall, I would rate their technical support at eight out of 10. 

In the first year, when I joined the organization, I was introduced to Domo. Prior to that I had experience with Tableau. When I started diving into the details of Domo, I got to know it and found it has the best GUI. And it already has an ETL tool embedded in it, for extract, transform, and load. That was not available in the other tool I used.

Traditionally, things were done with Excel, but I don't think it is quick enough to turn things around for our clients.

The setup is simple for someone who knows the system. If it's the first time doing it, the setup will be tricky. 

We go with a four-week implementation strategy, wherein we gather requirements from the clients, we have a brainstorming session to understand what kind of system they are using and what sources they are using. We'll extract and build the dashboards for them. And then we come to the documentation, where we document the details of requirements and then we deliver it, based on the timeline. This is all done within the four-week period, and we give them the standard set of cards.

From our end, for the reporting from Domo, we need just one person involved and that same person handles the day-to-day maintenance.

One of our clients, for example, sees on a monthly basis how much money they are saving, on a cumulative basis. They say a certain type of conversion was only at 40 percent and now it has increased to 65 percent.

The pricing is partnership-based for us. There are no other costs for Domo aside from the standard fees. 

It produces the best output. I'm quite satisfied with the tool.

We take the initiative, on our end, to give the client the best insights on how to use Domo. If they are sharing Domo access, we help them to understand how they can best use the tool and how they can change the chart visualizations, to make them suitable for their review and for understanding. Those are the key factors where we advise clients so that, with the click of a button, they have their own insights coming in.

The end-users at our clients include program managers, in particular, and then the top level, the executive level. Most of our clients have around five users.

The tool is very popular in the Asia-Pacific region. It's spreading its wings. Even in India, I've seen people starting to use this tool. The major advantages are its GUI and that it's in the cloud. The visualization features, with its colors, are friendly to the eye. It doesn't display information in dark colors.

I would definitely be curious to explore Domo more and more because it has features such as data scientist rules. You can apply their forecasting. I intend to explore those areas more.

I've used it as a platform to bring data together and pull insights out of it. I tried to connect different sources and match them. I'd utilize Google Analytics with data from Salesforce Marketing Cloud to be able to see how email activity in campaigns was impacting user activity on the sites.

It gave us an opportunity to get a closer look at how our campaigns were performing outside of just the email itself and the landing page, to get an insight into how people were interacting with our sites. We were able to look at how successful campaigns were in converting leads. 

We did a few studies where we looked into customers' data, connecting it from all different points, whether it was phone calls or the like. We were able to match it up with what it was that was causing that customer's activity to rise or drop.

It has a really easy platform to create user-friendly data models. It allowed us to click into the data, which was nice. Even though we could step back and see the bigger picture, we could also get into the details. At one point we were merging zip code to zip code data, so we could actually go all the way down to the zip code level and see how well a campaign was performing in a given area.

It definitely gave us the opportunity to figure out where there's room for us to grow or where there was room for our clients to grow. Getting down into that zip code level, we could do a comparison between different markets and say there were a lot of customers in a given demographic whom we could target.

It also let us know which of our campaigns was more successful compared to others.

The ability to create custom connectors was useful because you never know, with customers, what platform they want to utilize or what data they have. It gave us a lot of flexibility in being able to bring data in from different places.

Workbench works well and it uses local files. I had to set up Workbench integrations and it made things so much easier. There was never a point that it was down - and it would be really easy to spot the problem, generally user issues, if there was anything wrong. It was especially helpful during migration when we were trying to get everything into Domo. It can handle a lot.

They do have a feedback feature which is really nice, but it can take a long time to get any responses on that.

It is very difficult too, if we do have specific requests or errors that we can't get figure out - especially when it comes to the development platform, developing custom connectors or doing any kind of API work, custom cards - in that there's a lag in the response time. They do eventually respond, instead of issues getting lost, and they do make those improvements. If they are small improvements they do it rather quickly. If they need a developer then it's slow.

Sometimes it takes data a long time to run, especially when you're connecting data and running SQL queries. Sometimes an error is not caught right off the bat and you have to wait a couple of hours for it to run and then you can catch the error. That part could do with some improvement.

There is coding that you can manipulate data with on the actual card in Beast Mode and that part can get a little messy. It's not something where, if five people are working on one dashboard, each person can go in and edit and make alterations. It's not very collaborative, but it does work and it does wonders when you need to work with very specific data.

It's pretty stable. There hasn't been any downtime that we've ever experienced, any issues that required us to reset or that made us lose data. 

Scalability is pretty good. I didn't have any issues with it. I was able to do a wide range of things. There's a lot of room for growth and the ability to grow on the platform.

Technical support was great. You gave them a call, they put in a ticket. 

If it was something that required a little bit more technical work then it was a lot slower. And their updates could be a little lacking. There's definitely room to grow in their responsiveness. But other than that, with small editing, small issues that didn't require too much technical work on the backend, they were very good and very responsive.

My previous company was looking to grow in business intelligence and Domo was the best option among all of them. But I wasn't there when they made those decisions.

ROI can definitely come from the predictive analysis aspect. You can take any sort of data from any platform and put it into Domo and automate it so you're not wasting time. If you have a monthly analysis or monthly reports, you can automate all of that with this platform, making those processes a lot faster and much more efficient. It also leaves little room for user error that could normally happen in Excel or the like.

It is also good if you're using it internally, especially if you work with billing, to help navigate your resources or to figure out where you can best utilize your employees, etc.

It is on the pricier end.

One thing from my experience that we could have improved was that we had a limited number of technical people on it. You definitely need to be savvy with a lot of heavy SQL as well as API integrations. if you're trying to utilize it the most, the best thing to do is utilize their development platform. They have a developers page that really does wonders and takes it to the next step. If you're investing in it, then invest in being able to utilize that.

They also have a webpage where they show a lot of examples with different data models, showing you how to utilize tools to the best of their capabilities. That is really great as well.

The UI is definitely easy to pick up. If you do have a little bit of SQL experience, it's easier to use, rather than trying your own merge capability. It has its own user interface where you can do what you would initially do with queries or Redshift. That part is pretty good. But I prefer to use Domo's SQL and Redshift capabilities that require a little bit of coding, compared to what it has in its user interface, which allows similar processes.

That being said, everything else has been really easy and very self-explanatory. They do have good documentation and they have user groups and discussion boards that provide a lot of answers to your questions.

I definitely see use of the solution growing. There's so much more that it can be used for. There's a lot of predictive analysis that it can go into, and a lot of connectors that it can work with that allow you to use more and more functionalities and help with that whole predictive analysis aspect. In my previous organization, when I was there, they were growing the team to focus on what they could do with Domo.

Overall, Domo really transformed how we worked with data. Things that would normally take three or four weeks could be set up to take a day or two, if not less. The fact that it was able to take a whole workload off and provide a lot of analysis and even further insight, in that shorter amount of time, was great.

I use Domo BI as a back-end business API to build a bot. We are not currently using the entire Domo system. It's an external API for us. We are building another layer on top of it and not interacting with Domo itself that much. Our client is a Fortune 500 company that is actually using it. We were provided with read access to build a product on top of it.

Other than the SDK, it is a basic tool where you can create cards and charts. I mostly see it as an ETL which has many system connectors. It does a good job of ETL. 

I also use some of the visualizations but they are pretty standard across the industry. There is not much difference between Domo or Power BI or Qlik. All of them provide the same types of charts.

The basic analytics are okay. They show some information on what's happening with the system.

Their SDK is not up to date and you can't access it on their website. They have a private SDK to access resources in Domo. I'm not sure why. We were shocked to find out that they have an SDK but it is not available worldwide.

They have come out with the Domo Store but I have yet to explore it thoroughly. I checked the store but I couldn't find some of the apps, so I had to make my own.

Amazon has come out with QuickSight and there is Tableau which has a desktop version, and that is something Domo doesn't have as of now. Qlik also has a desktop version. There are other aspects that Domo has to work on.

I would like to be able to drill down more when there is a particular area where there is a problem. I don't clearly see that in Domo at the moment.

It's pretty stable. With the APIs, I haven't encountered major issues with Domo.

We contacted technical support at Domo. We talked with the engineering team there regarding the SDK. They said that they only have a Java SDK right now. They said they're trying to build more. I believe they might come out with something in the third quarter of 2019.

Communicating with them was fine.

Implementing Domo depends on the project, how much time it will take to build the dashboards, how many KPIs you are looking at, and how much of your data will come into the system. It also matters how many data sources there are. If you have ten to 15 sources every time it is a lot of work because you need to join all those tables and combine them into one to build the dashboards on top of it.

There is a difference between working with Domo and working on top of Domo. The major difference is that if you are working with Domo, you would rather use ETL and work with connectors; build the database and then dashboards for internal systems, sales, HR, marketing, and the website. That is working with Domo. But working outside of Domo, you just the APIs to push the data or the dashboard data, and you work on it on top of it.

In our organization, I am the one who works with Domo the most. Our organization is pretty small. We are a startup still. For startups, there is no discount. There is a trial version but that is only for 30 days. If you want to use a basic system, go with AWS QuickSight because it is available with pay-as-you-go and it is way less, in comparison, because it is new in the market.

I would rate Domo at six out of ten. I'm not in love with Domo. I have some issues with it. In my opinion, it is not that secure. I feel it is exposed a little. I also feel the ETL is a little outdated. They're not up to the mark on updating and don't have support for multiple languages. For example, they only support for Java right now. They don't even support Python or .NET.

Domo is a data platform that helps us collect different kinds of data. It also allows us to put all the data together, assess it and use it to help work through business processes or workflows.

The dashboard is the most valuable feature and allows for customization to create and share reports. It is also a collaborative tool.

There's some complexity with the charts in the solution, and there's a learning curve before you can get used to the solution. The solution currently has many great features, but enhancements to the visualizations or cards would be great.

We have been using Domo for a couple of years. It is deployed on the cloud.

We have not experienced any issues from a stability perspective. There have been no crashes or downtime, or any loss of information.

This solution is designed for scalability and depends on how much data you want to collect.

I don't know the exact number of users using this solution, but it is probably at least 100. In terms of the roles of users, it ranges from engineers to developers and managers. In terms of maintenance, there is a primary contact, and another person acts as a backup if the primary contact isn't available.

We've used technical support once and have not experienced issues with Domo. We've only leveraged general support.

We used a solution called Qlik in the past, and I believe the pricing was the deciding factor in switching to Domo.

The initial setup was straightforward.

I can't speak specifically to pricing, but we do not plan to increase our number of licenses. We are satisfied with what we currently have working for us.

I rate this solution an eight out of ten. Regarding advice, I would recommend going with the cloud version and something seamless. Also, leverage the dashboard, and explore it. There might be an initial learning curve, so ensure you have enough buffer time to learn.

• User adoption (ease of use)
• Fast prototyping of data sets and analytics
• Collaboration (both inside and outside our organization)
• Pre-built connectors
• Access from mobile devices
• Data Awareness for enterprise
• Data democratization
• A jump start on Data Governance.

It's a night and day change. We've gone from an organization that had no awareness into its data quality, and where data requests would take weeks to months, to one where our culture has transformed to being data first. Communication, trust, awareness have all improved exponentially. Domo has broken down walls, freed people to ask questions, and brought accountability to all levels of the organization.

This isn't your typical BI tool. It flips some of those standard concepts we have around reporting tools on their heads. There are areas to improve on like visualization options, and there are areas I think would be valuable for Domo to explore, such as data governance, and providing sandbox or development instances, but updates are frequent and smooth, and the value of the tool in its simplicity and ability to drive user adoption far outweighs any missing visualization features.

16 months.

Hands down the smoothest, fastest deployment that I've ever seen. We barely used the implementation team at all, and we were up and running weeks before the PoC was even half over.

No. Uptime has been consistent.

We are moving fast, and updating how we use the tool all the time. Exploring new ways to make the information consumable to a host of customers both inside and outside our company. So far, so good.

Excellent customer service from the beginning.

Better than any other company I've worked with. Having direct access through buzz (collaboration tool) has been super convenient.

I've worked with many of the BI tools out there, and while I'd say every organization has specific needs, I've never seen user adoption happen so quickly. It's been amazing. Domo was the right fit for what was needed at my current organization. The next company may need something else for different reasons, but Domo has been so successful that I would recommend giving it a look.

We also still use SSRS.

Setup was very straightforward.

• Plug-in credentials for pre-built connectors
• Load data files
• Setup ODBC connections to existing databases.

All just take minutes and you won't have a dependency on IT (unless you want to).

Implemented through the vendor team at Big Squid. They were very experienced, a good team.

Our ROI was having an organization that we could trust and be aware of its data, and also make timely and educated business decisions. Not sure you can put a price on that, but it easily covers the investment.

It's comparable to the other tools out there. Domo will work with you.

We did. I have the most history with Business Objects, but evaluated about 30 different tools before landing on Domo and Birst. In the end, Domo was the better fit for the organization.

Domo was the right choice for where our organization is, and I'm confident that it will scale with us.

Every organization has multiple teams that work in different ways. The larger your organization, the more variation you're going to have. The important thing to remember is that the data is what's important. It shouldn't matter if marketing and finance want to use Domo, while your IT department is using SSRS, and Sales is using Salesforce or your actuarial department is using SAS and Tableau. As long as they're all hitting the same data, let them use the tool that fits them best.

This is not a popular notion with IT departments or organizations that already feel entrenched with existing tools and the expensive skill sets that you hire to support them, but those departments aren't typically profit centers either. Bring data to the users, make it easy to see, and easy to talk about. Domo excels where it matters.