Tableau vs SAP Analytics Cloud

Tableau Desktop is a BI solution for data visualization, dashboarding and location analysis. In online reviews, users said they found its drag-and-drop charting a boon for creating charts and maps. Regarding customization, many users praised the platform for its various labeling and design options.I recently tried the Tableau Desktop 2024.1.3 version. The trial is only for 14 days and is enough for a sneak peek into Tableau’s dashboarding and data storytelling capabilities. For more straightforward use cases, Tableau is incredibly user-friendly and fast. Creating a new sheet gives you a canvas to create a visualization. Once you have the required sheets, combining them into a dashboard view is straightforward — select and add.My dataset included healthcare data, including details of patients, their hospital visits and insurance payer details. One use case was to find the total claim settlement amount. I dragged the Total Claims Cost and Payer fields to the column and row shelves, and Tableau gave me a bar graph. The toolbar had single-click options for sorting data from increasing to decreasing values or the other way around.To view the number of encounters by payer, I dragged the Payer field to the row shelf and used the SUM(ROW_COUNT()) function on the column shelf. The chart popped up with more visualization and layout options.I wanted an interactive filter to view the average claim cost by birthdate. I dragged the Birthdate field to the Filters shelf and right-clicked on it to set the end date as October 22, 1961. Selecting Show Filter added a slider conveniently to the right of my visualization. I could see the data for people born before October 22, 1961, and if required, I could change the end date.Another use case would be viewing the data by the type of hospital visits — how many people were inpatients, outpatients or those who needed emergency care. I dragged and dropped the Total Claims Cost and Payer fields into columns and rows, respectively. Similarly, I dropped Encounterclass into the Filters shelf and clicked on Show Filter to enable a checkbox on the screen. It had all the categories of visits, giving users the option to select the desired views.One-fourth of the users discussing adoption said there was a steep learning curve. Tableau relies on Python and R scripts for statistics in its visualizations. It's where the named licenses can prove to be a blessing, as you can opt to train upcoming Creators and Explorers. We recommend factoring in training if you want to hit the ground running.Some reviewers felt discounted packages for business editions should be available, similar to the free student licenses. At $70 per user, the Creator license can seem costly when compared to Power BI ($9.99 per user) and Qlik Sense ($30 per user).Here's the good news, though. Its built-in user management acts as a permissions layer for your organization - users can only access the relevant content. Plus, an organization will have very few Creators and a greater number of Viewers and Explorers, and the license fee reduces from Creator to Explorer to Viewer.We recommend opting for a wise license combination to get the most out of the product.On the upside, the vendor constantly releases new features, the latest one being Einstein CoPilot in beta.Overall, Tableau is a competitive BI solution, but if the pricing seems inflexible, quite a few other solutions offer live insights and advanced analytics out of the box.

SAP Analytics Cloud is a powerful data visualization tool that helps users explore data in an easy-to-understand format and discover metrics that help them make informed decisions. Many users who reviewed visualization said that the platform has rich graphics libraries and a range of templates for story presentation of business metrics. Citing its aesthetic design, a majority of users said that the solution’s interface is intuitive for programmers and non-technical users alike. Mentioning its strong predictive and augmented analysis capabilities, a lot of users said that the platform is a strong planning tool and helps them gain business insights easily. Many users said that the tool works well on a plethora of devices, including mobile, and is accessible on multiple browsers, though some users said that its offline mode capabilities are limited. Most of the users who reviewed data integrations said that the tool handles large amounts of data seamlessly, though quite a few users said its compatibility with live connection data sources is limited to other SAP products. Reviewing functionality, a majority of users said that the tool is versatile and scalable to ensure a great end-to-end user experience, though some said that it needs more features, such as improved live data analytics. The solution does have its limitations, though. Around 85% of users who reviewed its performance said that it struggles at the enterprise level, though quite a few users said that it performs exceedingly well within the SAP ecosystem. A majority of the users who mentioned reporting said that the solution lacks automatic report distribution and broadcasting capabilities, though some said that it has excellent analytical and data-oriented report creation. Many users who discussed data management complained that the process for updating an existing data model needs a lot of rework, and that the solution needs more versatile modeling features. Overall, SAP Analytics Cloud is a planning tool with strong BI capabilities that brings the power of cloud computing to self-service data analysis for gaining actionable insights into business metrics.