Tableau Desktop vs. Whatfix

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).

Incentivized

Currently, we are only using Whatfix with Salesforce but are in the process of implementing on other systems. It is an excellent tool to organize and provide in-app access to training materials already created. It excels at providing guidance about tasks users don't complete often and, therefore, forget what they were trained about the process. The only sort of system it might not work well is one that provides its own robust in-app assistance. More than one type of tip icon being displayed, for instance, could be confusing.

• 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

• Whatfix is a vendor that listens to their client, understands their business challenges, and works with them to achieve their goals.
• Feature enhancements are released every quarter, often with significant functionality improvements.
• The support and engineering teams are outstanding - responsive, helpful and nothing is ever too much trouble. Literally, second-to-none!

• 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

• The possibility to select content/widgets at the time for "push to production" (some we would like to p2p for one single content, that is not possible at the moment).
• I wish the filters in the dashboard would stay when you choose a content, currently you have to filter again and again.
• In the analytics area, I would like the system to remember this for a certain time window after selecting the start date.

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

[We feel like] even though Whatfix has its flaws, we are impressed by the speed of development [and] their openness about their future improvements, [but] most important their proactive customer service and customer success team. Whatfix acts more like a partner than a supplier of a 3rd party tool, and we welcome that experience.

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.

While they've made a lot of improvements in the last year, there are still challenges with walkthroughs and how beacons can be created. They are aware of these limitations and are actively soliciting customer feedback to help them remedy these shortcomings.

Incentivized

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

Sometimes there is a delay to showcase all whatfix elements

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.

Incentivized

Whatfix is THE best vendor I've ever worked with when it comes to supporting their customers. The support team is friendly, helpful and always willing to listen to your suggestions and ideas. This also applies to the Engineering team who I've spent several hours on calls with debugging a few of the more challenging scenarios we have in place. Nothing is ever too much trouble for Whatfix and they are truly best-in-class when it comes to their support model.

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

Incentivized

While helpful, the feedback from our employee was, that [they felt] the training was very high-level - sometimes confusing. It would be great to have some kind of sandbox environment for new users to train certain scenarios.

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

Although Whatfix make the process relatively straightforward (they will provide Group Policy Scripts to install a Google Chrome extension specific to your organisation) its important to ensure your network deployment teams (if you have more than one) understand their role and what they need to do to test deployment once they undertaken the work.

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.

Incentivized

There is no comparison - Whatfix is the clear winner with us from the very beginning. As Whatfix continues to grow and innovate their product, engage with it's customers on a level beyond any I have every seen. They work as Partners with us, their teams from bottom to top are incredible - Customer Service, Collaboration Teams, Innovation, Sales, Success Mangers and everyone I missed are incredible. One team in particular I want to call out for there outstanding service, care and innovation to help us launch one of our systems is the Professional Services Team. Ganish, Joel, and everyone else who has been on our calls and worked behind the scenes to hit our incredible tight deadline in August - KUDOs for a job well done, You ROCK, THANK YOU words cannot describe how great you guys have been with us on this project, but on all of them. Whatfix's team definitely understands, the customer is first, they align with our values and we will continue to grow with them

Incentivized

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

• Reduced Training Costs: By cutting traditional training time by 40%, Whatfix has saved significant resources while increasing learning efficiency.
• Improved User Productivity: Faster onboarding and fewer errors have led to a 25% improvement in user performance metrics, directly contributing to operational efficiency.
• Decreased Support Requests: Self-service guidance has reduced support tickets by 30%, freeing up teams to focus on strategic initiatives and cutting support costs.