HaloPSA vs. Tableau Desktop

Having been in IT for 10+ years and used so many different PSA platforms, I must say working with HaloPSA has been simply amazing. Straight out of the box, it's fast. It's feature-rich. It's easy to set up the basics, and the onboarding team was amazing. The onboarding team actually spends time with you, human on human, walking you through the setup and getting it working how you want. No one else does that included. Yeah, sure, you can pay CW and the other huge amounts of money, and they sort of help you, but HaloPSA helps you from the start; it seems they realise if they help set it up correctly in the first place, it reduces support calls. We can run our business from day one - very customer-centric. We have been using HaloPSA for a year now, and there is still plenty to learn and develop on the platform, but every week we are learning new things that we can do. The support team is great; they are humans who understand the issues we face, so they get things working fast. We have suggested some missing features to the dev team, and so far, they have implemented all of them - WOW. Don't get me wrong, as with all platforms, HaloPSA is not perfect. It's young, but it's maturing fast, very fast, and they are getting integrations built with the major players in the IT industry, which is fantastic. Yes, a few times, the link to Xero broke, which was annoying, but unlike the platforms we used in the past, the support team spoke to us and told us what the problem was and got it fixed, so you can't ask for more than that. Their growth has been fantastic to see, but again this has meant a bit of change around with account managers, support personnel, etc., but everyone they bring on is just as good as the last. All in all, migrating to HaloPSA was the best software/platform decision I have made in our business since I began the business. I would recommend HaloPSA to any IT business. Well done, Team HALO. Keep up the awesome work.

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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• Workflows
• Stock Control
• Quoting

• 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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• Stock control
• There are 3-4 different ways to do that same thing
• Documentation

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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

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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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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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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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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We have used and tried several other PSA vendors and HaloPSA was our favorite by far. Many others were either much too overly complicated, clunky, slow to respond to issues, incomplete, or they simply failed to deliver on promises made, especially in terms of integrations.

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.

• Improve our technicians efficiency
• Helped improve asset recording
• Knowledge base

• 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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