Domo vs. Tableau Desktop

I believe that companies that record large amounts of data about their product, service employers KPIs, etc, can make the best out of Domo for reporting and data analysis, but if a company handles little data and is not recording this consistently, it will not be of much use.

The best scenario is definitely to collect data from several sources and create dedicated dashboards for specific recipients. However, I miss the possibility of explaining these reports in more detail. Sometimes, we order a report, and after half a year, we don't remember the meaning of some data (I know it's our fault as an organization, but the tool could force better practices).

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• Exceptional Transform area of the platform - any/all raw data can be manipulated and combined to create datasources that are very useful for our departments.
• Visualization layer is clean and is very business presentable. Its simple but includes depth. Visuals can be created/used by all roles throughout our firm, its not limited to analysts.
• Ability to communicate and talk about insights in the data - the communication tool is exceptional. I can @ mention specific users to bring attention to a discovery. I can start a private chat. I can annotate and communicate what I am seeing. I love it.
• Mobile experience is excellent. When I am on the road i can actively monitor and engage with my team due to my Domo dashboard on my mobile device. Its amazing to run the business and not worry while away from the office.

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• An excellent tool for data visualization, it presents information in an appealing visual format—an exceptional platform for storing and analyzing data in any size organization.
• Through interactive parameters, it enables real-time interaction with the user and is easy to learn and get support from the community.

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• Copying Reports - In Excel or Google Sheets, I like to make copies of similar reports and modify them as necessary for users. In Domo, makes copies of reports (called cards) but all copies are connected. So if you adjust the copy, it changes the original. This means a user has to recreate the report from scratch and then adjust it.
• Unforgiving SQL - Domo does allow users to write their own SQL codes, which is great. However, Domo's SQL code is pickier than the other SQL database I've used (Metabase).
• Text Alerts - Domo's alerts aren't always the smartest. Some of my dashboards are about the sales teams monthly performance and I get notified when there is a change of more than 20%. I always get notified at the start of the month that reports have changed from 'x' number to zero. This is expected because it's a monthly report and I hate getting texts about it. The only reason I don't term them off so I can be aware if something breaks in the middle of the month.

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• Pricing should be more user-friendly and usage-driven
• Making edits to the production reports is fairly tough and has a vast scope of additional capabilities
• Tableau Desktop should be able to differentiate itself from the Tableau server else there is no major meaning of two different products being offered

Domo is a great up-and-coming product. There are many fantastic features that are extremely compelling to our end users, which makes Domo a great fit for our organization. As with many BI tools, there are items on the wish list that could make implementation, administration and usage easier, but I believe these will be addressed over time as the product matures and evolves. The overall concept and approach of this solution has definitely raised the bar in this area of expertise and I would like to see things advance in giving the enterprise tools that will make decision making easier and more robust in the future.

Our use of Tableau Desktop is still fairly low, and will continue over time. The only real concern is around cost of the licenses, and I have mentioned this to Tableau and fully expect the development of more sensible models for our industry. This will remove any impediment to expansion of our use.

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The built-in user support and intuitive design of Domo makes it simple to learn and use. I find I can spend hours drilling deep, or else quickly gain an overview in just a few minutes. This is a great advantage since the flexibility fits well with the demands of my role. I enjoy using Domo since I know it will give me comparative data across almost every variable I might want to explore - I look forward to it!

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Tableau Desktop has proven to be a lifesaver in many situations. Once we've completed the initial setup, it's simple to use. It has all of the features we need to quickly and efficiently synthesize our data. Tableau Desktop has advanced capabilities to improve our company's data structure and enable self-service for our employees.

When used as a stand-alone tool, Tableau Desktop has unlimited uptime, which is always nice. When used in conjunction with Tableau Server, this tool has as much uptime as your server admins are willing to give it. All in all, I've never had an issue with Tableau's availability.

Tableau Desktop's performance is solid. You can really dig into a large dataset in the form of a spreadsheet, and it exhibits similarly good performance when accessing a moderately sized Oracle database. I noticed that with Tableau Desktop 9.3, the performance using a spreadsheet started to slow around 75K rows by about 60 columns. This was easily remedied by creating an extract and pushing it to Tableau Server, where performance went to lightning fast

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Pretty responsive. It took a while to get a response in selecting data points for our particular cards. Might have taken about a month? I am not sure if this was something on our end or Domo's end. But haven't had any other issues yet that required additional support from Domo.

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Tableau support has been extremely responsive and willing to help with all of our requests. They have assisted with creating advanced analysis and many different types of custom icons, data formatting, formulas, and actions embedded into graphs. Tableau offers a weekly presentation of features and assists with internal company projects.

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It is admittedly hard to train a group of people with disparate levels of ability coming in, but the software is so easy to use that this is not a huge problem; anyone who can follow simple instructions can catch up pretty quickly.

I think the training was good overall, but it was maybe stating the obvious things that a tech savvy young engineer would be able to pick up themselves too. However, the example work books were good and Tableau web community has helped me with many problems

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It is a true web-based application so implementation is much easier and smoother compared to other non-web based BI solutions. Also, they offered consulting services during the implementation process, which was helpful. Also, they provided lots of on-demand training courses and videos, which I liked.

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Again, training is the key and the company provides a lot of example videos that will help users discover use cases that will greatly assist their creation of original visualizations. As with any new software tool, productivity will decline for a period. In the case of Tableau, the decline period is short and the later gains are well worth it.

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At the end of the day, end-user adoption and taking the burden of IT to build reports was my goal. Demoing and testing many BI tools, DOMO is the one that allowed both to happen.

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I have used Power BI as well, the pricing is better, and also training costs or certifications are not that high. Since there is python integration in Power BI where I can use data cleaning and visualizing libraries and also some machine learning models. I can import my python scripts and create a visualization on processed data.

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Tableau Desktop's scaleability is really limited to the scale of your back-end data systems. If you want to pull down an extract and work quickly in-memory, in my application it scaled to a few tens of millions of rows using the in-memory engine. But it's really only limited by your back-end data store if you have or are willing to invest in an optimized SQL store or purpose-built query engine like Veritca or Netezza or something similar.

• I mentioned a "previously un-analyzable" dataset that we were able to visualize in Domo - the result was business re-alignment for increased productivity, cost savings and ROI.
• It's tough to quantify the ability to provide insights that have been desired for years but not possible - we continue to amaze our executives and product managers with the analysis we can provide.

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• Tableau was acquired years ago, and has provided good value with the content created.
• Ongoing maintenance costs for the platform, both to maintain desktop and server licensing has made the continuing value questionable when compared to other offerings in the marketplace.
• Users have largely been satisfied with the content, but not with the overall performance. This is due to a combination of factors including the performance of the Tableau engines as well as development deficiencies.

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