We performed a comparison between Tableau and Workday Prism Analytics based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Tableau, Oracle and others in BI (Business Intelligence) Tools."Better interaction and less time spent with end users."
"I like Tableau's heat maps and the storyboard. You can create data stories and tons of visuals with it, and it goes together really well. Tableau lets you manipulate the data in various ways."
"Tableau is a fantastic tool that provides impressive dashboards and customized reports."
"It has been the best tool to work with from a self-service point of view."
"The ease of presenting findings is very helpful."
"It is definitely easy to use. It is intuitive, and more or less, everything can be done from the front end. As such, there is no concept of metadata. You can just take data from a database and start building your own stuff, such as OLAP data warehouse. You don't need extensive metadata modeling like Oracle BI."
"It is very easy to implement and to use."
"Although Tableau isn't the best for us when it comes to processing and working on live data, it is very good at extracting data for analysis."
"Feature-wise, I feel that the solution's stability is good."
"I have used Power BI as well as Tableau. There are a couple of interesting features that I like in Power BI, but they are not present in Tableau. For example, in Power BI, if I am looking at country-wise population, I can type and ask for the country that has the maximum population, and it will automatically give an answer and address that query. This kind of feature is not there in Tableau. Similarly, in Power BI, for integrating with the latest ML algorithms, we have decision trees and primarily multiple machine learning algorithms. The decision tree essentially visualizes the patterns in the data. We don't have such a feature in Tableau. If Tableau can integrate with the machine learning algorithms and help us to do visualizations, it would be a wonderful combination. Most of the people are going for Tableau primarily for visualization purposes. However, in the data science industry, users want to do model building as well as tell a story. As of now, Tableau is fulfilling the requirements for visualization purposes. If they can bring it up to a level where I can use it for machine learning purposes as well as for visualization, it would be very helpful. Many people who want to do data science don't want to write a code. Tableau is anyway a drag and drop tool, and if they can provide those options as well, it will be a powerful combination."
"We did have issues with Tableau 10.1 server with the brokers failing on heavy load but since moving to 10.2, then to 10.3, this issue seems to have been resolved and the environment is now quite stable."
"There could be improvements on the mobile application, it is lacking features."
"The user experience for less savvy or non-technical people (from my experience)."
"Areas for improvement would be visualization and augmented analytics. In the next release, I would like to see automated insights from the data added to the dashboard."
"With performance tuning, it generates a pretty complex query when it is not required."
"There's no mature ETL tool in Tableau, which is quite a negative for them."
"It's not an aesthetic platform at the moment."
"It is not a very scalable product."
Tableau is ranked 2nd in BI (Business Intelligence) Tools with 293 reviews while Workday Prism Analytics is ranked 25th in BI (Business Intelligence) Tools with 1 review. Tableau is rated 8.4, while Workday Prism Analytics is rated 7.0. The top reviewer of Tableau writes "Provides fast data access with in-memory extracts, makes it easy to create visualizations, and saves time". On the other hand, the top reviewer of Workday Prism Analytics writes "A stable data analytics solution that needs some improvement with scalability and data visualization". Tableau is most compared with Microsoft Power BI, Amazon QuickSight, Domo, SAS Visual Analytics and Databricks, whereas Workday Prism Analytics is most compared with Microsoft Power BI, Databricks, Oracle Analytics Cloud, Oracle Essbase and SAP Analytics Hub.
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