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It comes as no surprise who wins this, Tableau! Tableau allows you to build very advanced maps with different KPIs, measures and can go down to extremely low details, such as the street level. It’s a different way of presenting the data and would be the type of chart you’d find in a report. This isn’t the case in WebI - the scatter chart is more of a bubble chart, you can’t find the anomalies making it harder to analyze any trends. The scatter plot in Tableau comes with predictive features and allows you to find patterns and makes you question the data, for example, why is that green dot outside of the linear pattern of dots? This type of chart takes seconds to build you plug your data, you drag and drop, and voilà! It allows you to find the problems quickly and easily. Round one over and it seems SAP BusinessObjects has taken the lead, but could this all change in round two? We have to just keep in mind that they’re two different types of BI solutions. That being said, it is still incredibly limited in features, export formats, and bursting, and is not at all at the same level as the capabilities in SAP BusinessObjects.
#TABLEAU REPORT BUILDER PDF#
From Tableau Server release 2019.3, users can now carry out report bursting with their PDF subscriptions. BOBJ on the other hand is a reporting solution where corporate reports are made, maintained, and sent to end-users, but, we are now seeing Tableau starting to catch-up. Tableau is an interactive type of analytics solution where users come to consume the data. However, these two solutions don’t have the same approach. If we did a direct comparison of report scheduling and bursting between Tableau and SAP BusinessObjects then we would probably conclude that Tableau is rather poor at it. Other database support only available in Tableau includes Google Analytics, Qubole, Anaplan and the list goes on. For example, Snowflake was only made available for SAP BusinessObjects in 2020, yet in Tableau, it has been available for a lot longer. BOBJ is good at this, however, Tableau does support a lot more, giving users much more flexibility in connecting to a wide variety of database sources. The question to ask yourself is: Are you happy doing old-school reporting or do you want to start modernizing how you work with your data? Data Connectivityĭata connectivity within a BI solution allows you to connect to several different database vendors. Tableau allows you to interact with your data differently and in a more modern way using dashboards - it’s the wrong tool to make reports. Tableau, however, doesn’t allow you to do advanced reporting you can create some basic tables but they can’t be customized. The power of BOBJ is that it can do very advanced reports, which in its own rights are as useful as powerful dashboard visualizations. As we all know BOBJ is very strong at operational reporting, it was the solution that made BI reporting accessible to everyone. The key here is to understand how you want your users to use the data.
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Security permissions in Tableau Reporting Let us kick-off the battle with round one! What’s important to understand is how far can you go with each solution and which one will eventually get ahead. There is no perfect BI solution (I’d love to know if there is one!), each solution, like SAP BusinessObjects or Tableau, will win in certain aspects but not in the others. So, you’re probably now asking yourselves: Which is the better solution? Should I be using both solutions? Well, we will try to give you some of the answers in this blog post.
#TABLEAU REPORT BUILDER SOFTWARE#
Tableau on the other hand was founded 13 years later and pushed through the barriers with its data visualization software to help professionals make the best business decisions thanks to its modern BI approach. It provided a BI reporting solution that everybody could use. It tackled one of the big issues of finding data, making the data useful, and then being able to present it in an understandable way. SAP BusinessObjects was one of the pioneering companies of the time when it was released in 1990. Two solutions that are well-known in the Data Analytics world with both of them being in the top 3 BI solutions deployed by organizations, but also two solutions that don’t necessarily work for everyone.