Noetix is a business intelligence software offering from Noetix.
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Tableau Desktop
Score 8.2 out of 10
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Tableau Desktop is a data visualization product from Tableau. It connects to a variety of data sources for combining disparate data sources without coding. It provides tools for discovering patterns and insights, data calculations, forecasts, and statistical summaries and visual storytelling.
If you desire to 'empower' employees to create or edit their own reports, Noetix is a great tool, though I am not particularly an 'empowerment' person. In my experience most people have enough work of their own, so to tell them they now have to create their own reports can cause problems. If someone is available, like I am, to create the reports based on user requirements, then the report can be shared with the user and they can make changes as needed. I have several users who use the same report over and over for slightly different applications, and they are happy to make the small alterations, but creating whole new reports can seem like a daunting task. I tell my users I don't want them to become frustrated. If they want to try on their own, fine, but don't waste more than half an hour, and if you start to get frustrated, stop and IM me. Ninety-nine times out of 100 I already have a report that will give them exactly what they need. I've done extensive training, and find it's quite easy for users to pick up
Tableau Desktop is one the finest tool available in the market with such a wide range of capabilities in its suite that makes it easy to generate insights. Further, if optimally designed, then its reports are fairly simple to understand, yet capable enough to make changes at the required levels. One can create a variety of visualizations as required by the business or the clients. The data pipelines in the backend are very robust. The tableau desktop also provides options to develop the reports in developer mode, which is one of the finest features to embed and execute even the most complex possible logic. It's easier to operate, simple to navigate, and fluent to understand by the users.
Noetix makes reporting easy. Users can combine vtables (the Noetix term for its views), add or delete columns, add filters or parameters, sort, add totals to columns, all from an easy to use interface. It comes with a very large number of already written reports for all areas of Oracle reporting, but it also allows for custom vtables to be written, for Oracle or any database, to expand the number of available reports.
Noetix has an Excel add-in that is marvelous. It eliminates the need to run a report in the web application and export to Excel. The add-in can run very large reports, up to a million lines. Once a report is run in Excel, it can be saved, and then refreshed whenever needed. It's a really good tool.
Noetix is flexible. Joins can be added to existing Noetix vtables and also to custom vtables, to give users a large amount of data configurations to choose from. It also allows users to create calculated fields to any report.
Noetix is easy to administer. Users can be added or removed and grouped by the level of permission. Although, in our case, it validates against Oracle, the level of security is dictated by Noetix.
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.
I like the fact that the output is standard, but I would like to be able to move columns around on the output screen, rather than having to go back to the editing screen, move the columns, then rerun the report.
Drag and drop of columns would be nice on the edit screen. Currently if you add a column to a report, it automatically goes to the bottom. Relocation of the column has to be done a line at a time. I would prefer to be able to grab the field I want from those available, and drop it into the report where I want it.
When adding a filter (or parameter), the available fields automatically come up in alphabetical order, but on the columns screen, they don't. They come up in the order they actually are in the query. That means, when creating custom vtables, to have the fields in alphabetical order, one must put them that way. It would be nice if Noetix put the fields in alphabetical order for the user.
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.
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
I have never really used support much, to be honest. I think the support is not as user-friendly to search and use it. I did have an encounter with them once and it required a bit of going back and forth for licensing before reaching a resolution. They did solve my issue though
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.
The training for new users are quite good because it covers topic wise training and the best part was that it also had video tutorials which are very helpful
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.
I believe Noetix is much easier to use than either Crystal Reports or InfoMaker. When I worked with InfoMaker I used to say it took 5 minutes to get the data and 5 hours (and sometimes days) to make it look good. The same can be true for Crystal Reports. Noetix has a standard format, and most people export to Excel anyway. Who prints reports? So formatting is not all that important.
If we do not have legacy tools which have already been set up, I would switch the visualization method to open source software via PyCharm, Atom, and Visual Studio IDE. These IDEs cannot directly help you to visualize the data but you can use many python packages to do so through these IDEs.
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.
