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.
$1,380
per year (purchased via a Creator license)
Varicent
Score 7.9 out of 10
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From quotas to sales and compensation, Varicent helps revenue leaders in enterprise organizations chart a more effective, connected path to revenue by providing vital data, insights, and sales go-to-market planning tools.
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Pricing
Tableau Desktop
Varicent
Editions & Modules
Tableau Creator License
$115
per month (billed annually) per user
No answers on this topic
Offerings
Pricing Offerings
Tableau Desktop
Varicent
Free Trial
No
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
Yes
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
All pricing plans are billed annually. A Creator license includes Tableau Desktop, Tableau Prep Builder, and Tableau Pulse. Discounts sometimes available for volume.
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More Pricing Information
Community Pulse
Tableau Desktop
Varicent
Considered Both Products
Tableau Desktop
No answer on this topic
Varicent
Verified User
Account Manager
Chose Varicent
I used Appx and Optymyze in my previous organization and I found out of all the tools I have used Appx was the best, then Optymyze and then Varicent.
Out of all of the products I have ever evaluated for this space, Varicent is head and shoulders above the rest in my opinion. For me, I think of Varicent as akin to building an Access database while the other programs are like building an Excel data model. In Varicent you …
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).
For the use cases we have at the bank, ICM is a perfect solution. For any bank or institution that has similar requirements, ICM would be a perfect solution. But I also think for any use case that has any sort of incentives based on Sales done, this would work amazing, as both Calculations and reports are handled by ICM very well; it's an all-in-one solution, I feel like.
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.
As [the] model gets more and more transactional data, the calculation time increases. This should/can be handled internally with better model optimization.
Migrating from one env to other sometimes is challenging. There can be better 'Alerts' or 'Explanation' provided to handle it or at least to give a hint of the error.
For managers viewing their rep's report, the access part can be made easier. It should be linked to Payee hierarchy and access can be done automatically.
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.
Customer support from IBM is impeccable. They are quick to respond and they don't nickel and dime you for every request you make. Their goal is to ensure your success and as a user, I really feel like they listen to my concerns. That's not to say there are no problems. All software has its issues, but I don't feel like those issues fall on deaf ears.
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.
Any calculations can be implemented as there are hardly any limitations on complexity. However, online real-time usability is lacking - a simple user enters, and the system calculates work in a way that it is in the browser and hence still needs overnight to be properly reflected in the batch calculations and backend tables.
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
All is fast, but with API's it is sometimes slower due to the application we are pulling data from. Reports are loaded directly or within seconds and our reports are very detailed with many columns and rows.
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.
Giving a 10 would suggest there is no room for improvement. I don't feel like their support is perfect. However, I have never met another team that was more dedicated to making sure we get what we want and need.
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
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.
Test test test. Make sure that the product is calculating everyone 100% correctly. DO NOT accept a 70% pass rate as some companies would like to have you believe is acceptable. This means conducting thorough testing by providing 100% of all expected results, but it will be worth it when you know that the compensation plans are working entirely as expected.
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.
In 2015, we used a scorecard containing 80 attributes in our review of Oracle, Callidus, and Xactly & Varicent. Oracle did not have true self serve capabilities- programming was heavily required, not intuitive, out of the box functionality was limited. Callidus & Xactly could not provide us a demo using our data, statements could not be sent out in bulk form, difficulty in importing/exporting to CRM. Varicent excelled in most areas and was the clear winner.
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.
It is very scalable and adaptable to changing complexities of calculations and business rules under a variety of different scenarios. It does not get full points because in large data loads the time needed to calculate and import the data increases exponentially and may cause issues related to timing potentially.
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.
Compliance - with a central system used for calculation incentive payments and commissions, we are able to provide reports and data showing every detail of how payments are calculated and why they are justified. We can also identify anomalies and outliers.
Integration with our payroll system is seamless. Except for regular pay, nothing goes to payroll without going through ICM. The process for paying incentives/bonuses/commissions is now very structured and efficient.
