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.
$70
per month
Uptempo
Score 8.6 out of 10
N/A
Uptempo is marketing planning software used by enterprise marketing teams to centralize campaign and budget planning, track spending, predict and monitor performance, and pivot plans in real-time to enable marketing agility.
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.
Although the Analytics part is already available it could be improved. So for now Allocadia is very recommended if you are looking for a data maintenance software but less appropriate as a analysis tool. Ask yourself what is it you are looking for (analysis or controlling) and for which purposes (management level or specialists). The costs are very resonable and an absolute Plus!
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.
The user interface is clean, well-thought out, and easy for marketers to use. It behaves like their spreadsheets in all the right ways...without the baggage of having budgets locked into separate spreadsheets.
Allocadia knows that revenue attribution is important, and has great out-of-the-box adapters to flow actual spend and actual performance in to the tool.
The reporting engine is both substance and style. Data is accurate, can be sliced-and-diced, and is easy for marketers to get what they want in an ad hoc fashion, if a canned report does not already exist. The visuals are also excellent, which promotes the use of analysis.
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.
I am hesitant to comment on renewal in detail because we haven't been using the system for very long. But I am encouraged by the speed and ease of implementation, and look forward to getting to know the system better.
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.
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.
We have just used Bynder for some time but when we compared its performance with Uptempo we instantly knew it was superior in most of the aspects. It had better data analysis accurate reports and helped us track and manage our budget, so overall we were really happy with Uptempo.
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.
We have been able to more effectively look at our buys and see how they are performing on an ROI basis. Previously our spend data and leads were in two different places but this has allowed us to combine them.
We have only been in the software for five months so I think we will continue to see the ROI impact as we build out reports. Right now we're still trying to find the reports that will help us the most in our optimization.
