Microsoft Power BI vs. Power Apps vs. Tableau Desktop

Has significantly improved collation of data and visualisation especially with business across Europe. Has given me the ability to see the Site availability at the click of a button to see which Site is in the "money" and seize opportunities based on Market data

Incentivized

Power Apps is ideal for scenarios that are neither too complex nor too large. It is easy to begin development in Power Apps, as it is one of the best tools for low-code development. Power Apps can be implemented for complex scenarios as well, provided there is strong knowledge of the tool and ample time for planning. Our applications benefit from Power Apps' cross-platform support, making it easy to use on any device, including desktops, laptops, and mobile devices.

Incentivized

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

• Options for data source connections are immense. Not just which sources, but your options for *how* the data is brought in.
• Constant updates (this is both good and bad at times).
• User friendliness. I can get the data connections set up and draft some quick visuals, then release to the target audience and let them expand on it how they want to.

Incentivized

• Power Apps has formats that are pre-built that don't require any coding which makes it easier to achieve your vision. This does become a challenge if your App needs don't fit into that format.
• We deal with a ton of data so the fact that you can connect to any data source in addition to their pre-stablished data connections makes the process a breeze.
• The online learning resources and tutorials are helpful as well for those who are tech savvy.

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

• It would be easier for users could Microsoft Power BI and Excel used the same programming languages.
• Would like to see the online version of Microsoft Power BI be as powerful as the desktop version.
• Publishing a Microsoft Power BI file online and then having to save the file is somewhat redundant.
• Would like to export each page or chart as an image.

Incentivized

• Sometimes the cost of solutions is greater than the benefit. Licensing is expensive relative to the scope of some business user-created personal or team-level solutions.
• While there is a starter-kit for Governance, it is complicated to stand up and requires dedicated resources to provide on-going governance operations. Many organizations are not going to be able to dedicate resources to governance and this causes the sprawl, solution duplication, silos, unneeded and unplanned licensing expenses, and a general "wild wild west" environment.
• There needs to be better direction and best practices given around Power Platform Environment utilization and optimization.
• The accessibility to the platform and ease for business partners to independantly create solutions is both a benefit and a negative. When the business outcome needed is a good fit for PowerApps it is a quick win, but when not a good fit it becomes a frustration for the business partner attempting to make the platform do something it is not well-suited for. The business partner entangles tech teams in the effort which drains resources and provides a lack-luster solution. All of this to say, it would be beneficial to have some tools that business partners could leverage to determine\understand if the type of business outcome they need is well suited to PowerApps or not.

• 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

Microsoft Power BI is an excellent and scalable tool. It has a learning curve, but once you get past that, the sky is the limit and you can build from the most simple to the most complex dashboards. I have built everything from simple reports with only a few data points to complex reports with many pages and advanced filtering.

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

Automating reporting has reduced manual data processing by 50-70%, freeing up analysts for higher-value tasks. A finance team that previously spent 20+ hours per week on Excel-based reports now does it in minutes with Microsoft Power BI's automated Real-time dashboards have shortened decision cycles by 30-40%, enabling leadership to react quickly to sales trends, operational bottlenecks, and customer behavior.

Incentivized

PowerApps is a great solution and I have spent the last year familiarizing myself with the platform and building custom applications to complete a whole range of tasks such as asset management, custom invoice generation, and item restriction tracking. We as a company have barely begun to scratch the surface of what can be achieved with PowerApps.

Incentivized

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

It is a fantastic tool, you can do almost everything related with data and reports, it is a perfect substitutive of Power Point and Excel with a high evolution and flexibility, and also it is very friendly and easy to share. I think all companies should have Power BI (or other BI tool) in their software package and if they are in the MS Suite, for sure Power BI should be the one due to all the benefits of the MS ecosystem.

Incentivized

The community forums are extremely responsive to questions asked, there is a good body of online documentation and many community posts to draw from. Although the platform has changed, which means some of the posts are out of date and the solutions provided aren't relevant. Of relevance, I read over 400 articles plus documentation to get this first app built in SharePoint, move it to SQL and make it work exactly the way it should.

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

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

It was integrated with our erp easily and was accessible on cloud.

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

Microsoft Power BI is free. If I didn't want to create a custom platform (i.e. my organization insisted on an existing platform that I *had* to use), I'd use Microsoft Power BI. For any start-up or SMB, I'd just use Claude & Grok to build it quickly, also for free. Would not pay for Tableau or Sigma anymore. Not worth it at all.

Incentivized

1. PowerApps functionality comes with E1 over E3 License without adding extra costs 2. For Nintex you pay (at the beginning) for each workflow, so my intention would be, to do no workflows to prevent additional costs, but I want a platform with a fair price that allows me to create workflows without thinking about the price for each workflow and we use only some workflow and relative easy workflows and forms as a medium-sized company. 3. PowerApps provides a lot of functionality without needing to invest in premium features directly.

Incentivized

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

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.

• Power BI usage reduced the effort of analytical reports creation by about 80%
• Empowered all the level of employee to be more vigilant of the data and business insights, gained the profit of 8% overall.
• AI-powered predictive analytics improved forecasting accuracy by 17%, that topped the overall sales.

Incentivized

• Automation of manual processes brings an ROI on labor costs.
• Intake of data provides clean database design.
• Connectivity to data-lake provides insights and trends into the data.
• Able to scale operations with efficiencies provided by the app.
• Can mature the process and workflows to do more.

Incentivized

• 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