Qlikview is a vastly more capable tool for a technical person, the scripting language is amazingly powerful. Qlikview is a brilliant tool with amazing ETL capabilities and flexibility.
Associative Experience, In-Memory, Compression of data, on the fly - calculations and huge customziation in terms of pixel perfect dashboards. create layering of your charts and images, actions, navigation controls and show/hide options and several more. Decoding of other person work is easier.
1) The ease with which self-service BI can be achieved via a small scale trail deployment
2) The SQL scripting which is easy to understand by end-users
3) The Pivot functionality, because it is so very familiar to the high-end Excel users and allows for an extremely fast adoption rate
4) It can be deployed with limited training to end-users
a. For the “developer” end-user with a bit of previous VBA skills it is a breeze to create new applications
b. For the pure end-user the interaction with the data is amazingly simple
c. The “cloning” capability allows users to develop different views of the same data until they have the right dashboard look and feel
5) The fact that it brings a DASHBOARD to the end-users in mere minutes with the minimum of installation time and development time
6) Nothing beats showing a sales team the results of 3 million invoice records on a normal i3 pc with 2 GB ram (took +/- 10 minutes to develop for zero to a full blown dashboard that showed revenue by location, by customer, by salesman, by product, by year over a 3 year time axis)
Tableau has found its sweet-spot as an agile discovery tool that analysts use to create and share insights. It is also the tool of choice for rapid prototyping of dashboards. Tableau - Purely self service BI and Visualization tool. Drag and drop feature. VizQL and Show Me Options. It teaches you visualization. Visualization is much better here. But decoding of other person work is difficult.
1.From the rapid development and data discovery point of view Tableau is surpassing. You need only a db connection and you are on the way.
2.Tableau is very flexible with its data import. Tableau's data blending capability is very intuitive. This capability is useful when you have data spread across several different sources that has not gone through ETL processes. This is a problem analysts deal with routinely. They are unable to wait for the data warehouse team to develop ETL processes to provide the physical models they need to build an analysis.
3. The Tableau interface is Excel-like and has a low barrier to entry for analysts that are used to working in Excel.
4.Building a dashboard by mashing up visualizations in a Tableau worksheet is extremely simple. Users are able to build good presentation-quality dashboards in a very short time.
5.Tableau's annotations capabilities and its time and geographical intelligence are key differentiators.
6. Tableau has overcome limitations in data sharing with the introduction of a Data Server in Tableau 7.0. The Data server allows Data sources and extracts to be shared securely and opens up interesting new possibilities.
If your application can take advantage of the above characteristics, consider Tableau.
Associative Experience, In-Memory, Compression of data, on the fly - calculations and huge customziation in terms of pixel perfect dashboards. create layering of your charts and images, actions, navigation controls and show/hide options and several more. Decoding of other person work is easier.
1) The ease with which self-service BI can be achieved via a small scale trail deployment
2) The SQL scripting which is easy to understand by end-users
3) The Pivot functionality, because it is so very familiar to the high-end Excel users and allows for an extremely fast adoption rate
4) It can be deployed with limited training to end-users
a. For the “developer” end-user with a bit of previous VBA skills it is a breeze to create new applications
b. For the pure end-user the interaction with the data is amazingly simple
c. The “cloning” capability allows users to develop different views of the same data until they have the right dashboard look and feel
5) The fact that it brings a DASHBOARD to the end-users in mere minutes with the minimum of installation time and development time
6) Nothing beats showing a sales team the results of 3 million invoice records on a normal i3 pc with 2 GB ram (took +/- 10 minutes to develop for zero to a full blown dashboard that showed revenue by location, by customer, by salesman, by product, by year over a 3 year time axis)
Tableau has found its sweet-spot as an agile discovery tool that analysts use to create and share insights. It is also the tool of choice for rapid prototyping of dashboards. Tableau - Purely self service BI and Visualization tool. Drag and drop feature. VizQL and Show Me Options. It teaches you visualization. Visualization is much better here. But decoding of other person work is difficult.
1.From the rapid development and data discovery point of view Tableau is surpassing. You need only a db connection and you are on the way.
2.Tableau is very flexible with its data import. Tableau's data blending capability is very intuitive. This capability is useful when you have data spread across several different sources that has not gone through ETL processes. This is a problem analysts deal with routinely. They are unable to wait for the data warehouse team to develop ETL processes to provide the physical models they need to build an analysis.
3. The Tableau interface is Excel-like and has a low barrier to entry for analysts that are used to working in Excel.
4.Building a dashboard by mashing up visualizations in a Tableau worksheet is extremely simple. Users are able to build good presentation-quality dashboards in a very short time.
5.Tableau's annotations capabilities and its time and geographical intelligence are key differentiators.
6. Tableau has overcome limitations in data sharing with the introduction of a Data Server in Tableau 7.0. The Data server allows Data sources and extracts to be shared securely and opens up interesting new possibilities.
If your application can take advantage of the above characteristics, consider Tableau.
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