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#Tableau prep vs desktop Offline#

Tableau helps the users to make queries with the help of data received and to visualize the data even though the data sets are huge.īasic understanding of the data inputs is needed in Cognos to perform the analysis in the Cognos tool and hence domain knowledge of data is expected from Cognos users. When the data input is received in Cognos, it makes the users to explore various options in data and to know the relations of data to the database or other data present in the tool. Reports can be generated easily in any system or mobile once the visualization of the data is done. Hence, IT or technical people has to generate reports. IT knowledge is not needed as the tool is basically a visualization tool and the users can change the settings with basic knowledge of the tool.Īs the users are mostly related to business, the report generation is not easy in the tool as they cannot understand the way the data works.

#Tableau prep vs desktop Offline#

IT knowledge is required for this enterprise tool to incorporate online and offline mode as well as customize the settings within the tool. Let us look at the comparison table of Cognos vs Tableau. This helps the users to look into various options and select the needed ETL tool for their business usage.

In the tableau, with the visualization it offers, it also supports external tools to be used within the tool. In Cognos, external tools cannot be incorporated and users have to be satisfied with the inbuilt analysis and ETL tools which most of them may not prefer.Cognos has limited functionalities in terms of visualization and it focusses more on the reports and analytics side. Any tools or functions can be incorporated with Tableau for visualization so that graphs and tables can be created easily. Tableau gives more importance to visualization and hence any business intelligence functions can be selected for the user for data warehousing and ETL functions.While in Cognos, the user has to create online and offline models, and IT expertise is needed to incorporate both the models and present it in a collaborative form. Corporate data sources can also be taken as input. Tableau helps the users to gather data and then work offline by creating visualizations and reports to do the analytics. Both Cognos and Tableau help the users to do analytics in offline mode.Tableau requires the knowledge of SQL and the process of extract, transform and load does not easily happen in this tool. Cognos SQL helps the users to create frameworks and create the queries in the tool to extract information.

Basic knowledge of Java and SQL is preferable in Cognos as Java is the supporting language in Cognos.

this is not the case in Cognos as it can take only either excel or csv as input but cannot work with both together.

Any inputs of data are easily taken in for Tableau and the users can change it into a visual treat by drag and drop features so that anyone who looks into the data can get knowledge of what the data is trying to explain.

Users must know in detail about the tool and look for the settings to change the layout. Custom settings can be done easily in Tableau while it is difficult to change the custom settings in Cognos.

When the user wants to change the visual appearance of the tool, layouts and displays can be changed easily without knowing much about Tableau.

On the other hand, Cognos does not help in looking more into the data, and reports generation is really tough. Data can be continuously checked for new information and hence more insights are gained through Tableau. While Cognos can boost more power as it is created by IBM, Tableau has won the customer hearts by providing an interactive user interface with pleasing visualizations and no technical expertise in the field.

The main idea of any tool is the user interface and customer satisfaction.Key Differences between Cognos vs Tableauįollowing are the key differences between Cognos vs Tableau: Hadoop, Data Science, Statistics & others