OpenText Magellan BI & Reporting vs. Tableau Desktop

iHub is a decent enough environment that it serves our needs. We can have unlimited users and it can tie into AD although we do not use that feature currently. It is a decent place to store all of the reports in one location, even though for us it is not visually appealing to the end users. iHub is not a place where you want to create robust/interactive dashboards for end users to drill through and follow a "story".

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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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• It is fairly easy to set the sharing rules for a report/dashboard.
• They have a decent amount of time frame options for setting a schedule to generate a report.
• The support is mostly helpful and timely if you have an issue.

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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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• Setting up a "dashboard" is extremely lacking in functionality. The different chart widgets you place on the page do not interact with each other. When you select an item from one do not expect it to highlight or filter another.
• The speed and stability are not great, but maybe that is just our environment not being up to snuff...even though we are above the "recommended" settings.
• The main GUI for a user is TERRIBLE. You log into a File Tree format where you have to navigate folders to reach the correct dashboard. There are ways around this, but it would either require an expensive payment to the Professional Services team to revamp to UI or another option they gave us was to create the "Default Dashboard" and provide that link to users and in that Dashboard, you use a new tab to include the navigation back to the main screen so that at least on the initial load the user is taken to a friendly looking dashboard instead of a file tree.

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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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Our instance of iHub does not stack up against the other larger BI tools out today. It is a good place to store reports in a central location that allows users to run very specific reports on demand, but it is not a place I would want to store all of my "dashboards". As far as holding individual reports that are specific to an individual need, it is a great tool. If you want to create a report that will be used as a Template for a Form or a Label, iHub is a good choice to store and schedule the report or call it via API to generate it and return it to your calling app.

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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.

• 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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