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Tableau Desktop

Score8.1 out of 10

2,288 Reviews and Ratings

What is Tableau Desktop?

Tableau Desktop is a data visualization product from Tableau. It connects to a variety of data sources for combining disparate data sources without coding. It provides tools for discovering patterns and insights, data calculations, forecasts, and statistical summaries and visual storytelling.

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Top Performing Features

  • Java API

    A Java application programming interface (API) is a list of all classes that are part of the Java development kit (JDK)

    Category average: 8.1

  • Formatting capabilities

    Ability to format output e.g. conditional formatting, lines, headers, footers.

    Category average: 8.1

  • Report sharing and collaboration

    Report sharing and collaboration is the ability to easily share reports with others.

    Category average: 8.6

Areas for Improvement

  • Integration with R or other statistical packages

    Integration with the open-source R predictive modeling environment.

    Category average: 7.9

  • Publish to Web

    Category average: 8.4

  • Mobile Application

    A dedicated app for iOS and/or Android.

    Category average: 7.3

Pros

  • Effective data visualization and dashboard creation
  • Streamlines data analysis and reporting processes
  • Connects to various data sources

Cons

  • Cost and licensing fees are a concern for some users

Tableau Desktop A Great Analytic Tool.

Use Cases and Deployment Scope

I Mainly use Tableau Desktop for my data analysis work. It can connect with various data sources like excel, text files, relational data bases, cloud based data sources like salesforce, google analytics etc. Tableau Desktop helps to create dashboards, predictive modelling, functional data analysis in my profession. I think it has high scope in near future since its continuously building and updating the software with modern days requirements.

Pros

  • It helps with data visualization with interactive dashboards really well.
  • It features help with time series analysis which is very fast to explore pattern.
  • Tableau Desktop can be adapt to various industry application like sales, finance, healthcare domain etc.

Cons

  • It has less features for advance statistical analysis.
  • Tableau Desktop is clunky when it connects with python or R via scripts.
  • Its not user friendly when comes to large data file loading, it can be slow with large data set.

Return on Investment

  • It has made our analytics work faster. our productivity has increased.
  • Tableau Desktop is not cheap.
  • non technical users has high learning curve

Usability

Alternatives Considered

Microsoft Power BI

Other Software Used

MySQL, Microsoft Teams, Class for Zoom

Tableau user review

Use Cases and Deployment Scope

I use Tableau Desktop every day and daily basis. I built business and analytics dashboards and analysis with the tool. It visualises my analysis and allows users to help themself for access data. Scope is large, data needs are cross country and and to end. We use ready made sources but also process data straight in Tableau.

Pros

  • Dashboards
  • Simple connections to many sources
  • Visulaisations

Cons

  • When joining keys I would like to see how good is the join
  • labels could have more options in charts
  • sorting does not always work in table charts

Return on Investment

  • Leading with data
  • product development improvement
  • helping ppl avoid manual work

Usability

Alternatives Considered

QlikView and Looker Studio

Other Software Used

Amplitude Analytics, Snowflake, Slack

A Powerful Tool for Visualization and predictive analysis

Use Cases and Deployment Scope

I use Tableau to analyze the asset data of our clients to manage the inventory lifecycles and monitor hardware and software usage. Tableau helps in generating reports with live data and has improved decision making. I mainly have to make sure that the assets are covered and user we assign permission has the right one which can be identified with its interactive dashboards.

Pros

  • It has drag and drop feature which makes it easy to create visuals
  • The dashboard is very interactive and can be managed with just a few clicks.
  • Tableau can handle large datasets with ease.

Cons

  • Well, I find the data refresh configurations a little complex.
  • License can become costly for small organizations
  • Integration capabilities are very limited

Return on Investment

  • Tableau has excellent predictive analytics, ensuring all the asset coverage is renewed.
  • its automation features help in reducing the time and effort for quicker decision making
  • Massive data sets may require third-party tools to do the ETL process.

Usability

Other Software Used

Qlik Sense, monday.com, Microsoft SQL Server

Tableau the master data visualization tool

Use Cases and Deployment Scope

I work in market intelligence and Tableau has solved our problem of data visualization. We use it to create diverse understanding of available data and generate clear view of our sales numbers. It helps us create dashboards to avoid rework on slides and allows us to connect different databases to prepare actionable view of data.

Pros

  • Data visualization
  • Dashboards
  • Forecasting
  • Combine mutiple data

Cons

  • User friendly interface
  • Leas loading time
  • Less license fee

Return on Investment

  • Very expensive license fee
  • Training requirements
  • Not so good after sales support

Usability

The perfect tool for presenting data.

Use Cases and Deployment Scope

We use Tableau Desktop as an application that presents statistics. The first advantage is that you can group different sources of statistics in one place. The second is that there is a lot of customization. We increased our use of Tableau Desktop after migrating to GA4. GA4 stopped meeting our needs. All departments are stakeholders, but only the BI department actually creates and edits reports. I am one of the stakegolders.

Pros

  • Grouping data from different sources.
  • Possibility of personalization.
  • Service availability.

Cons

  • Explanations of data (often, after some time, we do not understand our own reports; there is a lack of legend and description functions).
  • Sometimes the fluidity is not perfect, which makes it not as enjoyable to use.

Return on Investment

  • It is definitely a positive that we are constantly monitoring data and can share it with a selected group of recipients.
  • The biggest impact is that we meet and discuss the shape of the requirements for statistics. It allows us to stop and think about the company's overall business goals.

Usability

Other Software Used

Userlane, Miro, Google Analytics, Atlassian Jira