Domo Reviews

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.

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.

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.

Our primary use case for using Domo is from the consulting point of view.  We use it for unified analytics where they have a lot of batch data and stream data. We want to combine and ensure, particularly that the deliverable side form categories, like real-time dashboard reporting, KPI-driven reports, ad hoc users, ad hoc reporting, as well as advanced analytics and data sets.

The most valuable feature currently is the self-service BI availability in Domo. I would say the data file fabric solutions where the users themselves are responsible for generating their own reports.

Our primary use case for the solution is pandemic data and ensuring that the information is de-identified before it is presented to decision-makers.

The solution has assisted us in de-identifying the data and providing it promptly, so decision-makers can decide whether to keep classrooms open and staff on campus early. This has been instrumental in making sure the university stayed open because other higher education institutions had to close.

Domo is a cloud intelligence software, so it's used in data analytics or analysis. It's a one-stop shop BI tool that handles the entire business intelligence process. Multiple components are involved when giving end-to-end BI solutions, for example, integration, ETL, data warehousing, data analytics, data visualization, data science, and machine learning, which Domo is capable of handling end-to-end. It's a tool that can do everything, and you can pull data from anywhere, from visualizations using advanced AIML concepts through it.

The best feature of Domo is that it's completely on the cloud. I also like that you can handle data end-to-end without having to depend on multiple tools. Another specific feature I like the most about Domo is Magic ETL because, through it, you can do all your expression, transformation, and loading activities very smoothly. The tool also follows the lineage concept, so you can understand what kind of transformations took place on a particular data set. You can find end-to-end data from the source until it has become the final output or the final data set. Whatever happened to a particular data set, you can understand it through the Domo lineage, and that isn't possible in most of the tools available in the market, but in Domo, that's available.

The tool is also solid and because it's on the cloud, it uses multiple data engineering in the backend and multiple algorithms in the back, behind the scenes, resulting in a great performance. For example, if an end user such as the CEO or COO opens a report or the dashboard and it takes more than ten seconds, the end user won't be interested in looking at that report or dashboard, but Domo enables better performance and there's usually no performance issues from that tool.

We use Domo to implement our end clients' KPI dashboards and various metrics.

All our client SLAs and daily and weekly dashboards are tracked on Domo. Since all our SLAs are available on Domo, we use it to predict whether we will meet our SLAs. The solution has the flexibility of using multiple connectors. We write our custom code to integrate with Domo and then generate insights. The solution's integration is very easy and friendly, and anybody can learn it.

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.