Domo Reviews

Domo is being used in quite a few areas. We're using it for financial reporting and analytics. Basic financial reports have just the numbers, but those kinds of reports don't answer your questions. Questions like "why?" and "where are the problem areas?" So, we're using it for business analytics to get insight into our financial performance.

We're a parts manufacturer, so we're also using Domo for tracking quality, including defects, warranties, and claims against the parts we manufacture.

We're using it for sales planning to give business insight into industry trends that might affect our sales. We're also using it to get insight into our sales results.

We're using it in our plants now — and this is newer — to track shipments and resources required so we can get the right resources where they need to be to load the trucks, based on when the parts are ready. That's actually an IoT use case.

In addition, we're using it to track our patents and our inventions, as a design company.

It started out with a couple of small use cases but it has blossomed very quickly. As soon as people see Domo for one case they come knocking on my door and say, "Hey, we'd like to use Domo as well."

This is just one example of many similar things, but in engineering we had directors and senior managers having to download spreadsheets full of financial reporting data every month and then manipulate the data and tweak it. Every manager and every division was doing it somewhat differently, making it difficult for the executive vice president to get a consolidated insight. 

Not only was it all manual, but it was all done with pivot tables and spreadsheets. It took a tremendous number of hours every month from senior leadership just to create a basic "What's our situation?" And that didn't even get into insights into what led up to that situation. 

One of the early KPIs was getting the financials in Domo. Now, the senior leaders all see the same thing. It doesn't matter which department you're from, it's all in the same format. None of them has to do anything, except for a couple of us who load the data into Domo. Once you load the data it automatically runs and updates all of the visualizations, and everybody is looking at the same thing.

We were able to put permissions into it as well, so if I'm in this department I only see this department's financials. If I'm one level up and I have five departments, I see those five departments' data. And if I'm the executive vice president I see the whole of engineering's data.

Just that one, simple implementation, which was one of many we've done, saves a tremendous number of hours by senior-level employees, every month, and provides a consistent answer across the organization.

I was building executive dashboards for project management offices. I would have a portfolio of projects. Mainly, it was for opening new units and new markets. I would have project plans and action item logs, and I would use those in Smartsheet, and then I would ingest those up into Domo and I would be able to run statistics and metrics to track the progress of any given project. I would be able to calculate things like percent complete according to the calendar, percent complete of the budget, percent complete of the scope, number of tasks, percentage of tasks against total tasks, et cetera.

I could, for each project, if I wanted to drill down, go in, and see the detail of the tasks. I could also go see the action items, the risks, the issues, and the action items associated with the project. Therefore, I could see how many of those there were, what were critical, high, medium, or low, and which ones were late in terms of the due dates and things like that. I could run both a general project status meeting for a given project and also, at a high level, show a swift health check of a set of projects. That was very helpful for the executives.

Domo is very strong.

In general, Domo is very powerful and very easy to use, relatively speaking. And so I didn't have a lot of complaints. I'm unsure if I was fully tasking it and stressing the Domo system.

I primarily use Domo for building reports and dashboards against our Snowflake data warehouse. It is utilized in a university setting with a couple thousand students.

Domo is a local company, and I have found it to be rock solid. I have been using it for four years and have been able to extract the information I need from it.

Our primary use case is to use it to show all of the analytics for our retail stores and allow the managers to see their store numbers and compare them to the other stores.

And for employee performance, employees can compare themselves to the rest of the country. That was probably my biggest application of it and it's an interesting use case because we manage all of the data in the backend. We are able to get the users to see a very static view of how they are doing compared to the top ten percent of their region, their state, and the top ten in the country. It creates a pretty cool way for employees and store managers to compete, in a healthy way, with the rest of the stores.

The best improvement is the data availability. For an organization that has over 12,000 users, having data on the cloud for anyone, anytime, to see their live stats is really different. We didn't have that before. That completely changed the way we look at how a store performs and how employees perform.

We had limited visibility into the data previously so I can't tell you that we have seen huge improvements from the data standpoint. But the company really started to focus on performance metrics and, over time, we saw people improve their performance from the time that we got Domo and onward for the next two years. When people started to adopt it, we started to see performance increases, especially in the stores that were more focused on it.

We wanted to bring our data reporting from several different marketing vendors into one avenue, along with onsite company data, to create one customer-facing dashboard. It all falls under that, when it comes to the day-to-day reporting that I've been doing. It includes anything that we did on Excel and could convert over to a dashboard.

I was doing data transformation manually, on my own, for my reports. We were very Excel-based and updating formulas constantly. It helped by only having to build it and set it once. It has helped with productivity and efficiency. I would estimate it's saving me 10 to 15 hours a week.

It's also helped with pushing and sharing information among the team members, physically in the office and outside of the office, across the country. We're getting real-time data. We can refresh reports and not have to wait however long it would have taken. That has been an improvement and results in business decisions being made more efficiently and more accurately, based on accurate information.

We use the solution to create a data visualization of all the business processes.

The solution's most valuable feature is the maps tool. It gives a holistic view of geographics. Apart from it, the feature that identifies the sizing of components based on the distribution volume helps us too. In addition, the solution's ability to update the overall visualization each time a new filter is applied is also the best feature.

One of our internal customers is a capital finance team. Before we reached out to them, they were pretty much handling all their data in Excel sheets. Their data has been expanding rapidly and they needed reporting in a visualization solution. They have different forecast methodologies and cycles, and different metrics within those forecasts types. They have various types of capital metrics. If you are from a finance background, you might have heard of what an IOI or an NPV or an IRR is. They had been doing it in Excel.

Ideally, to fulfill their needs, you would need two different solutions. One is a transformation solution. When you are handling huge amounts of data, you certainly need a database and, most commonly, what you prefer is SQL. Once your transmission is complete, you would also need a visualization solution. There are many available in the market.

With Domo, we can do everything in one place. We don't need a separate database. We can do ETL and the visualization in one location.

It's not on a device. It is completely cloud-based. Since we are a healthcare provider, we chose the secure instance of the public cloud: a PSI-certified instance.

Instead of having two different products, one for data transformation and one for visualization, we are able to do those functions using this tool, with one person or two persons at the max.

The day before yesterday, one of the teams wanted to see how its employees were performing in their line of business. That team has around 140 employees, and wanted to see what their current roles are, what their future roles will be, what their primary skills are, and what their secondary skills are. All this time, they've been using Excel sheets and they take a week's time to process. We put in a one-time effort of one week and, going forward, that particular team doesn't have to spend an entire week to provide an analysis to its leadership. All they have to do, once their data is updated, is push it into Domo and all the metrics that they want to see are readily available. It hardly takes five minutes, instead of one week. For that team it is definitely a great thing because the product manager doesn't have to sit for a week and do that. It has definitely made his life easier.

The same thing applies to the finance team. Our finance team gets its data on the 10th or 11th of every month and when they had to process that data in Excel sheets for another 10 days, the month was almost over. Here, again, things now happen in a couple of hours, and their data is ready the very next day and they are ready to present their finance metrics to their leadership before the 15th of the month. Based on that, they can plan their next month, or the upcoming forecast for financial metrics, more efficiently. Now they have 20 days instead of 10 days.

I collated all the reports that we got from Domo's APIs, then performed some ETLs and processing so we could build a final output from which the dashboard would get powered. Then, we created all types of stuff in Domo. At that point, the license let us use all the available jobs in Domo. Therefore, we were using tables and pie charts. For demographics, we are using the geographical charts for Australia and the USA, as the brands we deal with are mainly from Australia and the USA. 

31 million rows of data are getting processed every hour within Domo.

Domo has their own internal servers and phone apps.

I was using Domo comprehensively and exclusively in my previous organization. In this organization, the visualization has been improved. There were glitches when you went from one page to another, but that lag has been corrected. 

The basic levels of Domo were not made for developers. It was made for anyone who is coming from a nontechnical background. They can utilize Domo on the fly, e.g., if you have data and want to see a type of visualization on the fly, then you can use Domo to quickly examine your data.