Domo

For a company that doesn't already have an electronic data warehouse, has disjointed data, and wants to have a repository and analysis all in one unit, that is what Domo 's target market is.

The places we use Domo  the most have built-in data governance. Being able to define the data as it's coming in and keep those definitions constant, being able to show where the data is stored and how the data is processing in has been valuable. The cloud connections have been really handy. Being able to tap in and pull data from various data sources has been useful. The monitoring of how many credits we've consumed is also a good feature.

Domo's real-time insights and customizable alerts are one of their better features. I really appreciate the alerts and identification of problems. We have to build that in addition when we move over to Sigma  and put thought to it.

Domo is the premium option of all the choices. It has fancy features including a built-in chat program with the Buzz feature that no one uses.

When I arrived about a year ago, we had 12 different ways to connect eight different data sources, which was not ideal. I've narrowed that down to using only two, and neither of them were Domo. There were better ways to do it. The capabilities are there, but it ended up being better to go with Fivetran  or Azure Data Factory  than to leverage Domo's built-in connections.

Domo is capable of doing a write-back, but it isn't smooth. That's one feature that is lacking - the smoothness of the write-back feature.

So that is where we may go back to Domo one day. I don't want to completely cut us off from ever using them because I think they may become the world leader. My concern is that we have to put all the data in their system and then we can use AI. That prevents us from being able to do anything outside of the Domo ecosphere. They limit what we're able to do.

The first time I conducted a review of Domo was probably 2011, 2012 when it was first being developed.

The support with Domo primarily directs users to look up solutions in their giant knowledge base, and they rely on the large number of free conversations. There is an AI solution. There is some support, especially if you're talking about leaving them, suddenly they become much more engaged in solving problems.

In my case, I came in and everything had been set up before. Anything that was convoluted is really difficult to unwind, and there was a lot that was set up convoluted. The other problem is if you have too many admins, everyone can add data, and so the data can be added two or three times and become dependent in the format that it's in with the mechanizations of the data, their solution to ETL, being dependent on the formatting of each person and the way they added the data, and that can be a nightmare to unwind as well.

Neutral

The initial setup is the easiest thing to get into a total tangle-weave, similar to a cat's cradle nightmare. It is really easy to do, but difficult to do well.

The return on investment is there, but if we can do the same thing for $100,000 less, then it's not a good return investment compared to the other alternative.

We have opted to go away from Domo. We selected Sigma  because of the price, along with our extensive use of input tables and Excel-focused sort of view.

Currently, my team, which consists of only a handful of people, went to Domopalooza and saw their latest and greatest offerings. We can replicate all of that, so it makes sense for us to own our data and own our AI and to build it so that it functions.

The review rating for this solution is 8 out of 10.