StatCounter vs. Tableau Desktop

Free services provide a wonderful resource for people on tight budgets. If willing to put forth work in data managing/analysis and If basic high traffic information or drilling down specific users in low traffic situations is needed, then StatCounter may fit your needs. If automation and low overhead are a high priority then some more expensive packages can provide the same and more information with less hassle. Because StatCounter is free, there is low risk to see if StatCounter works in your specific usage scenario.

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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• I can visit my site in real time showing pages visited and the duration of the visit.
• It shows very detailed data on where visitors came from.
• I could monitor the performance of campaigns in real-time as visitors came to my site from a promotion.

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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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• I would like to see our referral traffic ranked in order of most to least. I'm not sure if this function exists already, but if it does, I do not know how to do it.
• Maybe put the average time on site on the same chart as the visitors and page views graphs.
• I feel as though some tasks can be streamlined, but this is not just unique to statcounter but to other analytics sites I've used. But people like digging really deep into the data, but for people like me who use it for one purpose, a shorter one-stop-shop version would be nice. Like one page where everything can be seen.

• 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

I have not had any issues with malfunctions when using statcounter, so that would lead me to continue using the program. I would like to see more social media measuring tools, but again, we don't use the program to dig really deep. We're just looking to figure out who is reading what articles on our website are the most liked. And it helps lead our editorial team in the right direction.

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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I never have to call tech support and never get frustrated because I can't get the information that I need.

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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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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Wish StatCounter had a more comprehensive report feature comparable to Google Analytics. I feel StatCounter is easier to use and to understand when compared to Google. Some people prefer Google Analytics, but it provides so much more information that the average person really needs. It meets basic needs. If you are looking for something more robust and high level of detail, I would recommend Google Analytics instead

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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.

• StatCounter enabled us to track what works and doesn't work with regards to driving web traffic. On a personal use level, StatCounter enabled me to gauge how much additional effort I needed to make to reach the traffic levels needed on my website.

• 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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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info