- No local maintenance. This is in comparison to Tableau Server which requires local installation and maintenance. Getting upgraded to the new version of Tableau Online is automatic.
- Most comprehensive data visualization software I've used.
- Tableau has never been good at creating tabular workbooks like spreadsheets. This is not its selling point, but there's still a lot of people who are used to and expect this format.
- Being able to send a non-interactive copy of a workbook to a large group of recipients (possibly people who don't have licenses) in Tableau has always required workarounds using the Tableau command line tool. Hope there's a more straight-forward way of doing this.
- Easily shared with others
- The most powerful and complete visualizations available
- Easy to create quick, useful dashboards
- Ease of Integration with data through Web Services
- Ability to integrate with other software
- What I love about Tableau is that I can filter items by SKU performance. We have tons of items that feature different colors and designs and I am able to see which option is selling the best and provide that information to our buying team.
- Being able to see the currently available units, excess and inventory projections has saved me the time when it comes to picking which item I should feature when I am merchandising.
- There are many filtering options within the tool so it is easy to personalize data and export results that you need.
- I'm not sure if this is standard for everyone but our Tableau is updated twice a week so the information may not be the most up-to-date possible.
- There's no search function in the tool which would help me a lot if I am seeking information about a specific item.
- There are frequent software updates which require you to completely reinstall everything.
Tableau Online Review: "Fulfils all your basic BI requirements, slightly pricey, great visualisations!"
On the other hand, having Tableau manage and maintain your servers comes at a price that not all organisations can afford.
- Easy to understand dashboards, really good for managers and execs
- Easy to create dashboards once you have the right data
- UI layout for creating new dashboard is good
- Formatting dashboards is a little technical, a more user friendly version would be nice
- Ability to export reports out to other formats
- More color and options would be good
Also use it for reporting our financials to the CFO
CFO then uses it to report to board and rest of the company
Product department can easily create reports to show trends and how our system is being used, this helps guide future product changes
- Handles time-series data extremely well, so that correlations can be drawn from different events
- Well-suited for visualising queries from data warehouses such as AWS RedShift
- Attractive, slick visualisations
- Would be nice to see better support for cleaning and consolidating heterogeneous data sources
- It is possible to restrict access to a data table on a per-record (row) basis, but not possible to restrict access to data on a per-column basis
- Steep learning curve for people who aren't from a data science background
- Consolidated real-time reporting
- Good visuals (charts, graphs, etc.)
- Handles large data sets that excel cannot
- Does require some upfront training
- It's pricey to obtain user licenses for everyone
- Because of the costs, it's important to ensure there is high adoptability and you are not paying for licenses that go unused
- It can use multiple data sources.
- It has ready-made templates for visualizations.
- It has reliable support.
- It is UI friendly.
- Tableau Online handle the security areas very well for Operational security, User security, Data security, Network security and Application security.
- Tableau Online infrastructure performs regular maintenance to ensure system stability, security, and performance. The data centers are equipped with fire suppression and other monitoring systems designed to detect environmental issues and respond to them before they cause an outage.
- Tableau Online backup media is encrypted and always maintained in a secured facility. Disk-based backups are stored in secured data center facilities. Backups made to external backup providers are encrypted in transit and in storage. Only approved system administrators have access to backups.
- Data blending has some limitations regarding non-additive aggregates such as COUNTD, MEDIAN, and RAWSQLAGG. Non-additive aggregates are aggregate functions that produce results that cannot be aggregated along a dimension. Instead, the values have to be calculated individually.
- Tableau only shows the values that are represented in your data. If your data does not contain the complete range of values, the missing values will not be shown. For example, Sales Data for January to July and November through December. If there was no data recorded for August to November and if a line chart is created in Tableau, the missing months will not be shown. An option is to show the missing months to make it clear that there was no data recorded during that time.
- Null values can sometimes appear in place of the data you want in the view when you use data blending.
Tableau Online eliminates the need for a server environment, which includes hardware, deployment, and maintenance. Tableau Online can communicate directly with other cloud-based analytics services, such as Google BigQuery and Amazon Redshift. It also has compatibility with Salesforce and Google Analytics. From a cost analysis point Tableau Server environment is less than the Tableau Online considering the starting cost, configuration cost so for small and medium scale industry can go for a Server environment.
- Visualizations of data
- Aggregation of complex big data
- Tabbed browsing for organization
- Online zooming into small data gets very hard to see and very grainy
- Viewing raw data sources
- Explanations of calculations
- Easy editing through a web browser.
- Flexible role management.
- Payment for a licence for every user, even someone who just wants to view reports without editing.
- Lack of a simpler version for a business user with fewer features.
- Dynamic visualizations: it may seem simple but having tooltips appear when a user hovers over a number is very nice.
- Filter-able visualizations: in PowerPoint I have to produce ten slides for ten filters of data. In Tableau, I can do it once and allow the user to filter the chart himself.
- Online and interactive: PowerPoint is static and not particularly pretty and is a file that gets emailed or passed around. Having the ability to send our clients a username and password so they can access their own results is a big plus.
- I'd love to be able to control privacy and security a bit more in Tableau. We ended up using a SSO as a workaround.
- This may be a product of our company's demands but moving a sheet around on a dashboard by adjusting the width and x/y addresses can be tedious.
- I would love to be able to modify or customize the UI of Tableau Online. Not because it looks bad in any way, it would be nice to customize for clients (perhaps that is something that can be done that I have yet to be exposed to).
Tableau Online Review: "Tableau: brings powerful data tools and the ability to share with your stakeholders."
- Data visualization is bar none the best feature on Tableau.
- The ability to drag and drop and ease of use to slice the data into different views.
- Being a dashboard tool in a more intuitive and more stable than an Excel based dashboard.
- While user intuitive, that is really only true for those with data analysis and BI experience. This is still a tool for experienced data crunchers and not something I would unleash to many in my organization.
- Still requires business intelligence consumers to be specific in their requests for data in dashboards, so it still requires the touch point between the data and the user, it requires someone with some know-how, to be in the middle. So it is still not democratizing our organizational data.
- Easy to use and set up
- Scales well within a growing organization
- Works well with mobile or cloud based platforms
- Easy to customize access for a variety of users
- Customizing a particular look can be challenging
- Has a bit of a learning curve
I work for the business intelligence team which interacts with multiple businesses like product, finance, marketing etc. One of the main responsibilities of our team is to fulfill reporting requirements for these businesses. We use Tableau 9.0.4 as avisualization layer. We use multiple reporting tools which helps us compare them. So I clearly can tell the difference of why and where we should use Tableau.
Standard way of implementation in our environment -
So the way it is used in our environment is we gather the requirements and figure out the data modeling which would suit Tableau. Then we build the SQL and architect the data model and bring in the whole model inside Tableau. So in general words we do all the ETL work as an separate layer before visualization in the case of Tableau. Once we bring in the data model we construct graphs, grid on top of it in Tableau Desktop and publish it online.
- Data Source Connectivity- It provides lot of data source connection options. Tableau provides and option to connect to a file (Excel, Text, Access, CSV etc. ), connect to DataBase (Microsoft SQL Server Oracle, Amazon RedShift etc.), ODBC connections, Google Analytics, SAP Hana and many more.
- Creating visualization is very easy. It's pretty much drag & drop options for creating visualizations.
- Excellent mobile support. Tableau put a lot of effort into developing a robust mobile client. Sensitive Control & Reports are pixel perfect.
- Good Customer Support & Low Cost Maintenance compared to Microstrategy, Business Objects etc.
- There is no concept of Change Management or versioning. The way it works is -i) Connect to your source ii) Build the reports in Desktop iii) Publish them online. Now for example if you did some modification & republished it, Tableau Online would always show the latest version. There is no way to retrieve the previous version of report.
- Connection with Hadoop (Hive ) using ODBC drive is cumbersome. Interaction is very slow. Not impressive at all.
- No Distribution and Scheduling options.
- There is no way to bring in all facts and Dimensions inside Tableau and create your data model inside Tableau.
If you see Gartner's magic quadrant it would appear that Tableau leads in the world of visualization which is true in a sense.
Let me give a perfect scenario where Tableau suits the most -
While creating your data warehouse if you are ETLing the data, creating all your relationship and hierarchy in a separate tool and pushing them to EDW and are expecting to report and visualize out of a reporting tool, Tableau would be a perfect tool to do that.
Let me give a perfect scenario where Tableau shouldn't be used -
If you are planning to ETL the data, create your fact and dimensions and bring them inside tableau for creating your relationship and hierarchies then you are wrong. Tableau doesn't support any sort of data modeling options inside it.
Tableau is used across several groups and depts. within D&B.
- Very quick to ingest data and get to the visualization.
- Powerful visualization options allows us to present the data in different perspectives and aligned to user business requirements.
- Much more flexible thanExcel or other tools to allow us to zero in on key data elements, find exceptions or identify patterns indicative of further analysis.
- Tableau creates emotional appeal and interest in the data.
- Makes it easy for any user to understand the data and figure out how to leverage the insights.
- Would be nice to have a guide or "wizard" help with design suggestions during the building of Tableau visualizations.
- Suggest ways to improve the data being loaded into the tool.