Axiom Software by Syntellis Performance Solutions vs. Tableau Desktop

Axiom is extremely well suited to optimize the Budget process. Using Axiom, we have cut our overall budget cycle time in half and have a much higher level of accuracy in all facets of the Budget including Fee Income, Expense, and Margin. Axiom is also well suited for advanced data users as you have the ability to create your own custom database tables which allows you to join to the existing Axiom tables and has allowed us to create custom reporting that we could not even think about on our previous system. The other big benefit of Axiom is that it sits on top of Microsoft Excel and inherits all of its functionality, which most people have experience with.

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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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• Compared to a previous EPM we used, Axiom's template load and saving performance has been much better even for large plan files.
• Axiom consultants can create completely customized reports for any of the collected data. Super users within your organization can then fairly easily modify their work to create additional reports without Axiom's help (and invoices)
• Setting up user security is a fairly easy one-time task and very easy to maintain when people change departments, leave the organization, etc. I would recommend you use role-based security settings.
• Compared to our previous EPM, Axiom allows more customization and possibilities for templates. There's very few "the product can't do that" statements.

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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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• Implementation is quite Complex and requires both IT and Financial buy-in
• Reporting solution has some learning curve for end users
• Calculation methods within reporting can be opaque and hard to trace

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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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For the scale of our implementation, Axiom only assigned two consultants who were both completely new to the company. It felt like we were all learning about the product together, when you would expect them to already be experts at their own product. The team also made a good bit of mistakes throughout production and go-live, which then caused more work internally for us. The team lead for our project also just left the company, so we'll see how next year's planning goes

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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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Axiom was selected based on the impression of ease of use and integration. It is capable of holding all of our entities data while giving us an easier more accessible way to deliver monthly Financials and reports to managers. Then in costing we signed up because the impression of budgeting.

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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.

• Forecasting has improved
• Complexity of analysis has improved as well
• Our main data has been confused as we started using Axiom

• 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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