Agile dashboard creation with Tableau 7.0
Here I would like to explain the capabilities of Tableau 7.0 for agile dashboard creation. I got an opportunity to work for a POC using tableau 7.0 which is is widely used for analytical dashboard creation. Same POC were developed using other rapid dashboard development tools such as Spot fire, Xcelsius and Microstrategy.
Tableau didn’t come to number 1 position for this POC as the requirement basically created (wireframe) based on the capabilities of the Xcelsius and we know that every tool has its own advantage and disadvantage.
Being a MSBI professional, I am so amazed by the capabilities of MS-Excel which helped me highly during my AdCenter analytics project. MS- Excel is having various graphs, charts, Sparkline etc. to show the data visually and Pivot and slicing option increases its analytical ability.
MS-Excel has more features compared to Tableau 7.0, but Tableau 7.0 stand top on visualization and easiness in creation of dashboards.
Tableau can connect various databases including Hadoop, Aster data etc.
Tableau has the ability to identify the fields as dimensions and measures based on its data types. This is very helpful if the analysis is based on MS-Excel, text or CSV data.
Fig 2 shows the IDE of Tableau 7.0 which consist of 5 sections data, dimensions, measures, parameters and sheet. We can create multiple sheets in single work book and share across. Each sheet consist of pages, Filters, Marks, level of details, columns and rows and these are known as shelves.
We can easily create dashboard sheets just by dragging and dropping fields in the respective shelves.
Another nice feature is the suggestion of appropriate graphs/charts based on the selection of dimensions and measures by Tableau 7.0. Right side cornor of the Fig 2 shows the option show me which enables suitable graphs/charts based on the selection from dimension and measures.
Marks shelves consist of text, color, size and level of details using which we can segregate the details to the report.
Look at the graph below, I have dragged and dropped profit in Label , sales territory group in color , sales amount in size sales territory region in level of details to form a simple bar chart.
Tableau has provided vedios and knowledge base to understand the capabilities of Tableau 7.0 completely. Please visit the below link to have more analysis.
http://www.tableausoftware.com/learn/training?qt-training_tabs=1#qt-training_tabs
Tableau didn’t come to number 1 position for this POC as the requirement basically created (wireframe) based on the capabilities of the Xcelsius and we know that every tool has its own advantage and disadvantage.
Being a MSBI professional, I am so amazed by the capabilities of MS-Excel which helped me highly during my AdCenter analytics project. MS- Excel is having various graphs, charts, Sparkline etc. to show the data visually and Pivot and slicing option increases its analytical ability.
MS-Excel has more features compared to Tableau 7.0, but Tableau 7.0 stand top on visualization and easiness in creation of dashboards.
Tableau can connect various databases including Hadoop, Aster data etc.
![]() |
Fig 1 |
Tableau has the ability to identify the fields as dimensions and measures based on its data types. This is very helpful if the analysis is based on MS-Excel, text or CSV data.
![]() |
Fig 2 |
Fig 2 shows the IDE of Tableau 7.0 which consist of 5 sections data, dimensions, measures, parameters and sheet. We can create multiple sheets in single work book and share across. Each sheet consist of pages, Filters, Marks, level of details, columns and rows and these are known as shelves.
We can easily create dashboard sheets just by dragging and dropping fields in the respective shelves.
Another nice feature is the suggestion of appropriate graphs/charts based on the selection of dimensions and measures by Tableau 7.0. Right side cornor of the Fig 2 shows the option show me which enables suitable graphs/charts based on the selection from dimension and measures.
Marks shelves consist of text, color, size and level of details using which we can segregate the details to the report.
Look at the graph below, I have dragged and dropped profit in Label , sales territory group in color , sales amount in size sales territory region in level of details to form a simple bar chart.
![]() |
Fig 3 |
Tableau has provided vedios and knowledge base to understand the capabilities of Tableau 7.0 completely. Please visit the below link to have more analysis.
http://www.tableausoftware.com/learn/training?qt-training_tabs=1#qt-training_tabs
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