Nintex offers a platform that helps companies discover, automate, and optimize business processes.
$25,000
per year
Tableau Desktop
Score 8.3 out of 10
N/A
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.
Nintex Process Platform is much easier to begin with as low code or no code tool, which reduced amount of time and effort to learn and we can start working on it within a few weeks after taking the training session with Nintex. We can build the same application with same …
Nintex is best suited when processes are drawed by the business and then can be furter enhanced by IT professionals. When only used by business units we see that there are some lose ends in processes and some bagic process knowledge is needed. Therefore it is wise that the persons in the business who will use Nintex have some basic knowledge on how to set up business processes
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.
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.
Adding Machine learning features like the "Image and Text Automation" component, which allows bots to extract data from unstructured sources like scanned documents or PDFs.
Natural language processing (NLP) features to understand and interpret human language, which can be useful for tasks like customer service or data entry. mostly for middle east countries where Arabic language is used.
Integration with external systems where many industries uses their own legacy systems and they need RPA bot to interact with their systems as well.
Adding More OCR tools for Document data extraction and dynamic content.
We are currently investigating which collaboration platform best suits our needs. Chances are that we move to SharePoint Online and then we're going to also consider the microsoft power platform (power automate and power apps) to develop forms and workflows. Aspecially the pricing model for the cloud is currently a blocking factor to go for the Nintex solution in the Cloud.
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.
Based on the on-prem experience with this tool, I believe that they have a lot of potential to help the online version catch up to where the on-prem left off. Nintex developed their online version and it is not as fully formed or capable compared to the on-prem version, and the licensing model scales back what we would have liked to be an expansion or at least continuous improvement of existing flows. It is also not near as user friendly specifically to non-developers and has an uncanny similarity to Microsoft Flow in the online instance. Consistent with my reviews of the tool - I believe they have some good approaches to design thinking that, if translated well from on-prem to online, could make this a clear winner again.
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.
The Nintex Process Platform has never crashed or had any availability issues during my usage. However there was an issue that was of my own making that caused a slowdown of the system. I had set up a process to run once a day and check for employees on a list that had certain parameters selected, and for some reason that I had to troubleshoot, the process instead ran constantly, which filled the cache quickly. I ended up having to dismantle that process so the system didn't crash.
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.
Unlike any other process automation product out there. Not only is it a low-code, easy to use tool for building processes in environments like SharePoint or Salesforce, they have really started to expand their tool-set by offering tools to manage other things like process mapping, RPA, mobile,etc.
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
The support team works as fast as they can and they are usually fast to solver the issues. Sometimes they need more time to solve one of them because our workflows and so on are more complex than usual clients.
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.
I used the Nintex training software, it was easy to watch and follow along. It didn't go too fast and was descriptive enough to understand what the steps needed were in order to produce efficient workflows and user friendly forms.
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
test runs for key persons to insure the system is set up prior to rolling out I think the platform is good, I think the roll out and the local implantations is where we are failing as a company in using Nintex
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.
It's much more reasonably priced and we were able to actually experience the platform for a bit before we made a decision. And by the time our demo was finished we had already started depending on it for some of our processes so it would've been very hard to separate from it
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.
The scalability is really bottlenecked by the imagination of the user. I was able to make processes for my own personal usage, making my daily tasks easier. I was also able to make processes that affected hundreds of employees, making large standardization and efficiency gains. So either way, the system is used the same way, and I was the limiting factor.
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.
We have saved our company thousands of dollars by creating our own customer support system rather than using a 3rd party tool.
The ability to generate documents/PDFs in workflows has solved a great number of process issues for us and groups who had previously been using paper documents.
Automating many permissions updates through workflows has been a huge time saver for repetitive processes.
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.
