ManageEngine ServiceDesk Plus vs. Tableau Desktop

We use the free version, it allows up to 10 technicians to be added to the system, but that has never been an issue, as we are a small team. The functionality and usability of MESDP are great and can work with larger teams too. It is well suited to be used as a main Ticketing system, and this is not limited to IT only, I am sure other teams that need to keep track and log issues will be able to utilize MESDP without any issues. There is a self-service portal as an option, however, we do not use it as of yet, as there has not been the need for it. If you would need to use the same instance within multiple departments, this may be a bit tricky to achieve, as there is no easy way to limit visibility to tickets from other departments, however, I am sure there is a way around it.

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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 very easy to create business rules that automatically route email tickets to the correct department and apply templates to correctly categorize the incident.
• The technician auto-assign function allows email tickets to be fairly apportioned using a round robin technique. We do not cuurently use the load balancing technique which is also available.
• It is very easy to bulk edit requests to correct miscatergorization by Analysts. (i.e. Incidents vs. Service Requests)
• Coordinating communications and notifying ticket holders when a network or application event is resolved is very simple.

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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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• Reporting tools; the report features can be a little limited, it can be quite tricky to get the information you want displayed in detail
• You can set required fields within the ticket template, which should mean the user has to complete them before they can submit the ticket, however this often doesn't enforce correctly

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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

Because this is the best tool, we have given ManageEngine ServiceDesk Plus a rating of 9 out of 10 because it provides a good overall IT service management experience, especially for ticketing, asset management, automation, and reporting. It has helped us organize IT support processes and improve visibility. For ticketing.

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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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As any other feature-rich software package, starting out with ManageEngine ServiceDesk Plus has a little bit of a learning curve, but it usually doesn't take very long until you can use the basic features. Training new technicians on the use of the software does not take very long, and for users to submit tickets it is as easy as sending an email.

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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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I have a few issues with MESDP and even though we use the free version, the support staff was very quick to respond and extremely competent and helpful. Luckily, I have only had to use them a couple of times over the 2.5 years I have been using their product, but they strike me as very competent, friendly and helpful, regardless of the version of their product you use.

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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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Spiceworks was free, which obviously had both benefits and limitations - I will say that the community around Spiceworks has always been great. If we could replicate that experience with the ME user base, it would be terrific.

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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.

• The tool does not scale well from an ROI perspective. As you add a customer, you must add a new instance, hence a new license.
• The tool is probably on the expensive side (34,000 USD per 130 technicians per year).
• There is no usage beyond incident, change, and problem management. The CMDB feature is extremely limited and cannot generate additional ROI. There is no knowledge-base or integration with other software (other than ME Desktop Central).

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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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