Tableau Server Reviews and Ratings

Use Cases and Deployment Scope

Tableau has allowed my team and cross-functional teams to build full-funnel marketing channel dashboards to monitor performance and daily trends. Before using Tableau, using in-house data sources was a siloed and long process. Tableau has enabled us to create robust dashboards, such as multiple-touch attribution and campaign-specific dashboards. The ease of use and automation have enabled my team and stakeholders to access data and make important optimizations across marketing channels easily.

Likelihood to Recommend

Whole funnel and specific channel performance from upper to lower funnel metrics. The ability to view full channel performance for some time, such as weekly, monthly, or quarterly, has truly been monumental in how my team optimizes specific channels and campaigns. Daily performance tracking is a bit overwhelming, with load times and having to refresh specific live views over time. It can be challenging to do so at times, as extensive dashboards take much longer to load.

Use Cases and Deployment Scope

Tableau Server is generally used when we done with all our visual presentations making, data analysis, making dashboards and now some other persons wants to edit in this by giving access or to present or share online with some other persons. It is very easy to share your work like all the charts, tables, that you worked on and need some suggestions or edits or present to clients you can do anything with this. I have done some projects also in Tableau Desktop, Public and Tableau Server and it is great to share that on Tableau Server with easy links and access without any data loss .

Likelihood to Recommend

I have done many projects on Tableau Desktop, Public and need to share a large data sets or completed projects with clients so i just shared on Tableau Server and provided links to see or approve without any data loss and security provided to our data . Little bit need some technical training to get used to of it, it has great features and options to get your work easily done if you are well trained.

Use Cases and Deployment Scope

We use Tableau Server as a data visualization tool for our customers. Our proprietary data are delivered to our customers via Tableau Server. Tableau Server is installed on our servers and we provide our customers with an URL for them to engage with our data and analyze them. Seriously TrustRadius, I don't know what to write anymore.

Likelihood to Recommend

The software is ok, but it was developed by people with their heads in the 80s and the Customer Service is so horrible that you don't want ever to do business with them. And since they have been acquired by Salesforce, things have only gotten worse, from ridiculous to plain farce.

Use Cases and Deployment Scope

Tableau Server is an online platform to host and hold all the tableau workbooks, data sources, and related tableau data. Users should have a license in order to use Tableau server and its features. creating security, folder setup, automation, data refresh are some of the best features Tableau servers provides. Scheduling the data extracts and dashboard refresh is the main scope of our project

Likelihood to Recommend

Ask data is one of the new and good feature that is available in tableau server. Tableau Server is well suited for a data warehouse build and handling big data. Tableau data aggregation, transformation, clustering capability is powerful and easy to implement. The choice of charts and visualization tools is outstanding.

Use Cases and Deployment Scope

We use Tableau Server as an add-on service to our SAAS product. It's integrated via API, using "Trusted Tickets" functionality. Multitenant environments. It allows our clients some self-service reporting capability using pre-defined datasources which connect tableau to their SAAS product database.

Likelihood to Recommend

As a person responsible for administering their self-hosted product, I would never recommend this to a collogue. Fragile product + ineffective support = operations nightmare. It breaks frequently (upgrades, extracts, backups/restores, sometimes a service just stops during normal usage), and basic support (costing 5 figures/yr) with a 3 bizday follow-up SLA on downtime events is essentially useless for anything more than functionality questions (which take weeks to resolve). Stack restarts take over 15 minutes and are required for just about every configuration change. [I believe] the product was a poor fit for our use-case (add-on service for multitenant customer SAAS applications) for several reasons: - There's no supported method for changing datasource connections, which is a problem if you plan on publishing data sources from dev to prod environment without Tableau Desktop and manual effort. You'll have to make your own tooling to modify the XML directly (unsupported) - Trusted ticket implementation is secured via IP whitelist. If you want to use a modern SAAS product and not have to manage this IP whitelist (every change requires 15min restart), you'll have to write your own ticket-granting service over top of this API. - Security architecture offers poor segmentation between client databases. You can very easily provide customer A access to customer B's database. This danger is aggravated by the lack of a supported method for modifying data source connections in an automated fashion. - All users exist at a server level. This adds to the "poor segmentation between sites" argument, and also complicates things when you have 2 clients bound to different sites, trying to add the same username "jsmith". But hey, it's really pretty. Our product team bought it, infra team has paid for it since.

Use Cases and Deployment Scope

Tableau Server is being used for data visualisation and analysis of our internal and third-party data sets. Tableau allows our business analytics team to assist the business in reporting, data visualisation, performance monitoring, and machine learning across multiple organisation functions - operations, marketing, finance, product, compliance, and automation design.

Likelihood to Recommend

Tableau Server is well suited for a data warehouse build and handling big data. Tableau data aggregation, transformation, clustering capability is powerful and easy to implement. The choice of charts and visualisation tools is outstanding. Customisation and dynamic data visualisation capability is superb. The user interface takes some time getting used to.

Use Cases and Deployment Scope

Tableau Server is actively used in my organisation for connecting to different data sources and viewing different visualisation for deriving insights from them.

Likelihood to Recommend

Tableau [Server] is a user friendly tool and is applicable for any areas where KPI can Ben understood by just dragging and dropping the visualization objects.

Use Cases and Deployment Scope

It is being used across the organization. It helps us visualize business trends in a nicely presented format which can be easily used by all levels of management. Currently we use it for our sales projections, marketing analytics, finance analytics and other business analytics. It is also used to analyze monthly results across different KPI's

Likelihood to Recommend

It is well suited where data is clearly arranged in a particular format and is less useful if the data is not in the format usable by tableau

The formulas are sometimes difficult to enter into tableau and that restricts some analysis to be performed.

Visualization within tableau is the best but the trend line graphs are not great

Use Cases and Deployment Scope

Tableau is being used as one of several reporting tools. Its primary use was for creating dashboards that could be leveraged by a large segment of the company. The web enablement allowed for broader user adoption than other tools adopted at the time of implementation. Navigation of the workbooks was also more palatable to users vs running individual reports.

Likelihood to Recommend

Tableau may be well suited to non-Microsoft shops. Its methodologies, internal management, and overall approach seem geared more toward Oracle/Java shops. It also does require a decent amount of care and feeding. Backups, upgrades, etc., tend to be cumbersome and require some level of IT knowledge, despite how the product is often sold. Smaller shops that wish to pursue Tableau may be better off leveraging their SaaS offerings.

Use Cases and Deployment Scope

Tableau Server was purchased by the IT department in an effort to expand the institution's use of analytic data. Prior to buying Tableau Desktop, there was very minimal use of analytics data of any kind. Tableau Server was purchased with the intention of expanding the use of Tableau and storing data in a central repository for collaboration.

Likelihood to Recommend

We are a small organization, and it was a budget stretch to get Tableau Server in the first place but we took a chance. Our goal was sharing analytics data. Unfortunately, we found the product to be overly complicated. It was not easy to transfer data between Tableau Desktop and Server as advertised. That made sharing overly difficult, which was our primary goal. In the end, we chose not to renew the license and are pursuing other options for collaboration/sharing of analytics data.