- With Tableau you do not need to have technical knowledge to do the data integration and you get a quick response of what you are looking for, being your visualization of high quality.
- We can say that it is free software and it is not a limited version
- Improvements in the fast analysis data engine were designed to make queries much faster
- We can take more advantage of the capabilities of the source databases to run more queries at the same time; this being a new feature of parallel queries improving the performance of dashboards in Tableau Desktop and Tableau Server.
- With Tableau, you can easily analyze information, interact, filter, drill down and graph data
- Tableau allows you to work with multiple data sources, allowing you to convert them into visualized information in easy-to-analyze graphs
- You can use unlimited amounts of data
- It facilitates access to the information you need at the right time.
- The information emptied by the users are not totally private
- Improve the modality of granting permissions to access files
- The files used for graphics must be updated constantly, it is suggested that this act be automatic
- Graphs and charts are built very easily.
- Tableau is very good at showing data visually
- Easily help make a decision by looking at the pattern
- The ETL part is missing in Tableau.
- For huge and ambiguous data-sets, Tableau Desktop is not good.
- Before analysis data preparation is mandatory.
Tableau Desktop Review: "work tool for presentation of data in chart and professional quality table."
The systematization of the information in a single database was attended; analysis of the information was represented in easy-to-understand tables and graphs. Thus solving the problem of using other programs that do not offer as many professional quality options as a table. In the same way, it was allowed to solve the problem of the existence of several databases.
- It has easy-to-use bar-type graph options that allow you to group a lot of content.
- It offers the possibility of working with a database in order to position your exact location on your territory and display your information on a map.
- It has options to superimpose information between two related variables.
- It has the potential to work with ideal trend data for decision making.
- Although it allows you to link variables, I consider that the presentation of the information is not ideal. I think the vendor can work on improving that tool.
- It is difficult to use the tool for georeferencing data, because it asks you to check many options to apply the task. I think the vendor can work on simplifying the process.
- They should review the process of linking data sheets with the tools from Tableau. On some occasions, I had to do the work again because I did not recognize the database. Work on simplifying the process please.
Inappropriate scenario: Using the tool for the design of thematic maps of professional quality and that is adjusted to the international standards of cadastre, geography, and cartography, I consider that it does not have the propitious tools to develop such activities.
- the quality of its graphic tools.
- the intuitive and easy in the elaboration of database queries.
- I think Tableau should improve interoperability with document editors such as ms word.
- Support in multiple languages is necessary.
- Unions between databases: combines data from different sources, such as Excel and Oracle, and creates a data source integrated in Tableau. You can also create a Tableau extraction from this data source and publish it.
- Tableau Mobile for Android, came to Android phones.
- Share dashboards on any type of screen, with Tableau you can design, customize and publish a single dashboard with views optimized for tablets and phones, managing to see the information wherever you are.
- The company can consult data sources and with a single glance, it supervises the statistics of use of the data sources and it is labeled as the favorites that are used the most.
- Excellent experience to analyze databases that help simplify and summarize jobs in the office.
- Allows you to create enriched visualizations and control tables using an intuitive drag-and-drop interface that allows you to see each change as you make it
- When the changes are made, in many cases the error that can be made.
- The data and visualizations of the users are not completely private.
- Without internet you can not perform any type of update.
- Data visualization
- Quickly create interactive visualizations
- Tableau can handle large amounts of data
- Can use of other scripting language in Tableau
- No Custom Visual Imports
- Static and single value parameters
- Screen Resolution on Tableau Dashboards
- Custom formatting in Tableau
- Allows you to perform queries without the need to write any code.
- Very useful for weather tracking data.
- Allows you to utilize maps & data at the same time - very effective graphics.
- Easy to share data with others both within and beyond your company limits.
- Slightly better training facilities would help.
- Tableau is a good at visualization of data.
- Fairly straight forward to use.
- Good at pulling data from a single location.
- Could be better at handling multiple data sets.
- Launching Tableau on desktop can take a long time especially if the report has many filters.
- It should strengthen its data discovery capabilities.
- Visualization of data.
- Trend analysis.
- Rich graphic presentation.
- Should easily include D3.
- Server performance needs to be enhanced to handle a large volume of data.
- It's high version needs to be backward compatible.
- Ad-hoc visualization and aggregation
- Adding Map servers
- Interactive dashboards using Activities and parameters
as the main focus on the product page.
- Filter by category & refinement to see which items are the best sellers in the particular field.
- Able to break down each item number by SKU and see which one is performing better than others.
- Able to see excess inventory and conversions.
- There is no search option, if you are trying to find a certain item you will have to use the filters to find it.
- Some of the category refinements do not match our website. For example, there's a "solutions hardline" category filter and we do not have this on our actual website.
- You cannot check previous weeks/months of data. This would be helpful to have when comparing product performance.
- Live data connections and making data blending is just a few clicks
- Intuitive and fresh design compared to other BI tools
- Filtering, aggregating data is very dynamic and fast
- Maps for visualizing data by geographically
- Number of data source options
- Drag and drop functionality
- Still lacks in statistical analysis features
- Interactive Reporting
- Easily prepare and present information in both table and graphical formats
- Easily modify report and graph parameters
- Limit table details to those related to specific chart/graph/table points/views
- Better printing capabilities and more printable formats
- More control for super users
- Data mapping: create quick data exploration by joining text file data with xls file
- Gantt Chart: better Gantt Chart capability than Microsoft Power BI
- Mapping: excellent mapping capability down to suburbs and post codes in Australia
- Box plot: quick box plot creating
- Colour scheme: currently only have limited control over default colour scheme
- Scheduling dashboard creation and distribution via email currently not available.
- Table format visualisation: difficult to control as Tableau tends to concatenate fields once it has more than many characteristics fields shown as one.
Well suited for quick data analysis and dashboarding.
Less appropriate for report distribution via email.
At this time, Tableau is mostly used to automate reports analysts and managers used to fill periodically with Excel.
- Connection to data sources, and variety of connectors available
- Easy-to-use data blending functionality, once you experiment it a few times
- Makes visual analysis accessible to a wide variety of users
- Publication of dashboards on Tableau Server is a breeze
- Tableau is ill-suited to work with SSAS cubes, at least when you are used to analysis within Microsoft tools
- Data preparation is not up-to-par with other leading vendor tools (although can be improved through Alteryx if you have access to it)
- The ease-of-use is true for basic analysis, but rapidly gives way to a steep learning curve with more complex queries or when the business context is more mathematics oriented
I currently use version 9.3 of Tableau at work, we will soon migrate to version 10.2, therefore my comments do not reflect the latest version's characteristics.
Tableau Desktop Review: "Best BI tool to do things really quickly and get insights from data very easily."
- Very easy to come up with the dashboard, you can develop the dashboards in a few minutes.
- Good support to database connections, the best thing is that it supports R.
- It's fast when you use one sheet as a filter for other sheets in the dashboard.
- Median calculation using live data(version 8.0, now it has) - although we found a workaround to get this functionality, it would be good if we had an option to use it directly.
- Editing font and color of text is really complex. The user needs to do it all manually so there should be an option so that you can apply styles in a complete sheet and dashboard at once.
- When you try to work quickly and switch from one sheet to other, it crashes.
- Easy to learn
- Simple vizualizations
- Interaction with Tableau Server so non-developers can explore with filters
- Easy connections to many different types of data sources
- Automatically updated parameters - when my database encounters a new date field, the parameter should automatically update to include that date
- Easier mapping capabilities so I can more easily connect geo-located items with a polygon
- Master filter and sub filters.
- Maps and location view.
- Easy to use dashboards.
- Drag and drop.
- Using a common filter for multiple dashboards is needed in many cases but when we use sub-filters for a common filter, it doesn't work well.
- When you change the data source, all the customization gets reset which is not good.
Not appropriate when: We need to show a lot of details in one screen, when we try to replicate the existing visualizations of some other tool
- Allows the user to easily access data stored in an Oracle-based database and many other data formats, and it makes this easy connection without needing any interim transformation, catalog or universe to be created. This is a definite strength as other analytical applications require data to be stored in or accessed via an interim format.
- The drag and drop nature of the user interface and the fact that it begins to understand your data is a great feature allowing very rapid creation of analytical visualizations and tabulations.
- The ability to allow the desktop user to quickly and easily push out a series of visualization dashboards to Tableau Server is a great part of its functionality, and allows the visualizations to be more readily used across and organization.
- The biggest area needing improvement is in the area of placement of objects in a dashboard during its design. The placement is sometimes quirky and does not necessarily translate to an optimal placement on the dashboard which has been pushed to Tableau server.
- It would be nice to have the capability to point at a pre-defined style template which would help in creating consistency in terms of default placement of objects and overall look & feel.
- Within the pharmaceutical industry, the ability to seamlessly read in a SAS dataset would be very useful, as currently this involves at least one interim step.
- Helps spot visual patterns correctly.
- Apart from using an Excel you can also connect to your own data set or database to import large amounts of data and use it to drill down and prepare charts.
- The charts and graphs made with Tableau are very interactive with the right information.
- When data is highly granular Tableau must render and precisely place each element.
- Green data fields are continuous and blue data fields are discrete. It is essential to understand what they do previously or else one can get confused. If you do not take Tableau video lessons or read about how the data fields with green or blue fields are different, it would be confusing. Tableau can improve that.
Tableau Desktop Scorecard Summary
Feature Scorecard Summary
About Tableau Desktop
Tableau Desktop is the rapid-fire authoring environment used to create and publish complex visualizations, reports and dashboards in multiple output formats. Using Tableau Desktop, a report author can connect to multiple data sources, explore relationships, create dashboards, modify metadata, and finally publish a completed workbook to Tableau Server if desired.
The Desktop product comprises two editions:
- Personal Edition: This edition allows work to be saved locally and supports connections to the following databases: CSV/flat files, Excel, and Access.
- Professional Edition: This edition supports a wider range of databases including most traditional relational databases, OLAP databases, Hadoop, and also Salesforce and Google Analytics.
Tableau Desktop Competitors
Free trials are available for both editions.
Tableau Desktop Technical Details
|Operating Systems:||Windows, Mac|