Tableau Desktop vs. TrackMaven

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.

If your brand is looking for understanding competitors and normalizing data across disparate follower counts/footprint size, Trackmaven is great. Users need to understand the power of Boolean logic. TrackMaven needs dedicated users and time spent in building reports in order to understand how to use it.

Incentivized

• 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.

Incentivized

• Competitive Intelligence - see precisely what your competitors are posting and sort by time and/or impact
• Funnel Analysis (Beta as of April 2017) - track your organic and paid social efforts to see which content creates leads
• Comprehensive Overview of Social Channels - track growth and engagement of all social channels in one screenshot, and in comparison to your closest competitors
• Personalized Analytics - each user can set up their own reports and dashboards and/or they can be shared across the organization, chart your own KPIs with a click of a button
• Top Notch UX & Support - drag and drop features for report building and dashboard creation, responsive support team

• Formatting the data to work correctly in graphical presentations can be time consuming
• Daily data extracts can run slowly depending on how much data is required and the source of the data
• The desktop version is required for advanced functionality, editing on [the] Tableau server allows only limited features

Incentivized

• For the foreseeable future. TrackMaven is focused on measuring social sharing. We wish it also captured information about pageviews and monthly unique visitors -- the kind of data that lives inside Google Analytics -- or integrated it through an API. It would be exceptionally helpful not just to have all those metrics in one place, but also to easily measure correlations between them.

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.

Incentivized

More than likely, yes. This is a company with people I trust that offer an exceptional product.

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

Incentivized

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

Incentivized

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

Incentivized

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.

Incentivized

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.

Incentivized

I inherited TrackMaven, as it was already being used when I started working here, but I really like it! It's much easier to use and has an incredibly fast learning curve so I feel like I'm using all of the features of the tool right away. The customer support team is very helpful and works hard to make sure that you are really using the product to its full capabilities, rather than just scratching the surface

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.

Incentivized

• Paid Search & Social - TrackMaven has given us the ability to develop smarter social advertising and reach our audience with the right messages
• Account Analytics - the account overview we receive in TrackMaven of our own social media accounts is duplicative of what we already get through other software
• Funnel Analysis - If we can better see which efforts are paying off with leads, at a granular level, we can use our social spend budget more wisely