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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.https://media.trustradius.com/product-logos/sv/Ao/PCZWTEQ42WEW.PNGTableau- The Data VisualizerWe are using Tableau Desktop for creating dashboards for MIS reporting. These dashboards are being used by stakeholders and managers for their decisions process. They can see the changes over time and graphs, top performing agents and several similar details which are shown geographically or by state. We usually get requirements to update the dashboards as per their need so that it is easily understandable and conveys more information.,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.,9,QlikView and SAP Business Objects,9,9,QlikView, SAP BusinessObjects BI Platform,100,3,For their own Decision making process For business forecast,For Reporting purpose To see dynamic dashboards for visual analysis For decision making process,Earlier we were using SAP Business Objects for reporting purpose in which even a little change takes up a lot of time, but now after moving to Tableau it has become quite easy and time saving.,Yes,Price Product Features Product Usability Product Reputation Analyst Reports Third-party Reviews,The evaluation and selection process would be kind of similar, although for big dataset I would like to choose some tool which uses in-memory technology for faster data retrieval.,Implemented in-house,Yes,Change management was a big part of the implementation and was well-handled,Several change requests were raised parallely so maintaing the que was getting difficult. We have to come up with a change window only when changes could be applied. We have to keep the timeline of changes so that it doesn't overlap with the previous request of the same dashboard.,8,Online training Self-taught,8,Without training also Tableau can be mastered by you will have to give more time to practice the concepts and also need to go through online resources.,No,9,Yes,During the time of setting up tableau online they were really helpful, I would say that was kind of exceptional support but it could have been faster.,Building basic charts from already available show me is one of the quickest and easiest thing in any BI tool connecting to data is quite simple we don't need to write long queries(unless we want to). arranging sheets in the dashboard and using filters are just clicks away, anyone can do it by first chance only.,Using calculated fields for special functionalities Understanding and using LOD functions can be cumbersome for new users building advanced graphs require a deep understanding of several advanced tableau features, which comes from regular uses.,Yes,9,7,8,6Worked superbly for analyzing web traffic data.We use Tableau Desktop mainly to analyze operational data for our consumer-facing website. This involves data from our own web application (sometimes via database connection, sometimes via flat file exports) as well as Google Analytics data (both traffic and events data). We have one user (me) who runs weekly reports that mash up the data from the operational systems and Google Analytics, and then syndicate the output via emailing PDFs of the standard reports around. I also do ad hoc analyses from time to time to try and spot patterns, trends, answer specific questions etc. and sometimes those make their way into the standard weekly visualizations shared with the team.,Tableau is an excellent tool for quickly making sense of millions of rows of data. It does an excellent job of recognizing facts and dimensions in denormalized data files (say CSV or Excel) as well as connecting to larger databases. The learning curve is slight but not too steep if you are comfortable with Excel Pivot Tables or similar. The visualizations are particularly good as well, as there is a good library of them as well as an auto-suggest feature that for a given series of dimensions and metrics will recommend what chart types might apply. If you have data it recognizes (or is typed) as zip codes for instance it will recommend a geospatial / map visualization.,If you have broader enterprise needs for data security and segmentation, heavy duty report customization, or data transformation, this is less comprehensive a tool than other enterprise BI packages (e.g. Business Objects, MicroStrategy, or similar). That said, what it does, it does amazingly well and at a tremendous value. One minor annoyance is that formatting applied to a workbook doesn't carry throughout or get remembered as a template. The default choices for font sizes tend not to export well to presentations or printed text, and having to hand-enlarge every axis label every time gets obnoxious. I've seen third-party tools developed specifically for re-using formatting selections across one or multiple workbooks.,10,,10,We just have a single user and syndicate reports by emailing PDFs around. This is a cost-effective answer but clearly not scalable for larger organizations who have other options (Tableau Online, Tableau Server, etc),9,6,10,4,2,As we moved into CPC ads, we might have used Tableau as a quick and dirty ad spend optimization tool by driving into traffic and conversion metrics tied to actual conversion values (the high-level flat dollar amounts you can specify in Google Analytics wouldn't work for our real-time bidding platform we would need to mash up data from Google AdWords and our operational systems and Tableau is excellent at that),We used Tableau to analyze web traffic data, including traffic channels and sources, the conversion funnel, inventory mix and categorization, geographic distribution of inventory and inbound traffic and leads, on a dataset of millions to tens of millions of rows. We also used Tableau to report on operating metric performance to plan though it provided less unique value in that situation,We were able to very quickly generate geographic heatmaps showing automobile inventories across the US, including the ability to filter/drill on various makes/models Similarly we could generate heatmaps across the US to indicate where web traffic was originating Finally, using calculated fields to mash those two up we could quickly and visually pinpoint where supply/demand imbalances existed to direct our business development efforts (e.g. we need more Toyota dealers providing inventory in Atlanta, and we need to target driving more traffic on BMW related search terms in Chicago, etc.),Yes,Price Product Features Product Usability Positive Sales Experience with the Vendor,Implemented in-house,7,Self-taught,I would watch and learn from the online tutorials which were probably 75% comprehensive. There were still things we had to figure out around the edges, but just using online documentation and videos and following the examples was adequate. Any time the documentation is lacking, there's a vibrant online community at the ready, and some members even jump in to provide example solutions to problems!,Yes,9,Drag and drop of dimensions and measures Styling of visualizations of all different types is easy Assembling charts and graphs into composite dashboards,There are a few things that should be simple that are cumbersome like data blending can be painful to get right and details like totals on top of stacked bars Formatting does not carry over from sheet to sheet and styles cannot be universally applied to a single visualization much less a dashboard -- lots of repetitive manual work to style things visually,Yes, but I don't use it,8,10,10,10,MySQL Database,YesPerfect analytics toolTableau is being used to retrieve data from multidimensional relational databases, spreadsheets and from cloud databases and then to present the data in visual format to the users in Sales, Marketing, Operations and Finance. Tableau is being used for analyzing sales metrics, capturing web data from customers and used for marketing analytics, reporting financial analysis data to senior management to visualize the performance of the company within a few minutes, instead of tedious report generating processes from other third party applications.,We started using the latest version 8.0 and many of the features that we would be using were included in the latest release 8.0. Did not come across any areas that the product does less well, but we are somewhat new to Tableau and still trying out many features.,10,,10,9,6,1,We would be developing additional dashboards for supply chain to measure their metrics.,Financial Analytics. Marketing and Sales Analytics. Operations Analytics. Engineering and Web Analytics.,We had setup and developed database on Amazon RDS to store data from web analytics from the engineering servers, and meshed the data with CRM data in Salesforce to determine the potential customers for our cloud product. We had to create custom functions for the ones that Tableau did not have, and created views in Oracle database and used that as a source to publish analytics on Tableau.,Yes,Price Product Features Product Usability Product Reputation Third-party Reviews,We would keep the similar process that we had used to evaluate, but probably would include some of the newer or other software that are out in the market.,Implemented in-house,Yes,Change management was a big part of the implementation and was well-handled,There was nothing major during the implementation, except Tableau had launched the newer version of the desktop and server during the implementation that had us upgrade and re-setup some of the configurations.,10,Online training Self-taught,10,It would be better to have some training before starting to work with the tool. There are many advanced features available and they are all explained in the training videos and online documentation. I would recommend going through the basics and then, once installed, it would be beneficial to go through the advanced training sessions and try them out.,10,No - we have not done any customization to the interface,No - we have not done any custom code,10,No,We ran into an issue with the Oracle driver for 64 Bit server when setting up the connection to our Oracle database, and when posted a question to the support they were able to provide the immediate reply with the correct driver to use.,Yes,10,10,10,8,Salesforce Oracle E-Business Suite Amazon RDS Internal MySQL Engineering databases,NetSuite,File import/export Single Signon ETL tools,10,10,10,Yes,We were able to use some of the additional functionality that came with the upgraded release that we saw limitations when developing sheets in the previous releases.,We would like to see added functions within Tableau that would allow us to display the data without having to create custom objects in source database and pull the data into Tableau. We would like to see some temp table creation in Tableau to have perform calculations against the data and display the data without having to create the calculations in the source database.,Yes,No
Windows, Mac
Tableau Desktop
1390 Ratings
Score 8.3 out of 101
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Tableau Desktop Reviews

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Tableau Desktop
1390 Ratings
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Score 8.3 out of 101

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December 29, 2016

Worked superbly for analyzing web traffic data.

Score 10 out of 10
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Scalability

10
Tableau Desktop's scaleability is really limited to the scale of your back-end data systems. If you want to pull down an extract and work quickly in-memory, in my application it scaled to a few tens of millions of rows using the in-memory engine. But it's really only limited by your back-end data store if you have or are willing to invest in an optimized SQL store or purpose-built query engine like Veritca or Netezza or something similar.
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March 08, 2016

Perfect analytics tool

Score 10 out of 10
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Scalability

10
We are currently hosting Tableau server ourselves and is easy to maintain. With the ability to connect to many data sources and probably with Tableau adding new ones it would just be as easy as setting the new data source in the future.
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Feature Scorecard Summary

Pixel Perfect reports (91)
8.3
Customizable dashboards (108)
9.1
Report Formatting Templates (93)
7.6
Drill-down analysis (104)
8.6
Formatting capabilities (107)
8.4
Integration with R or other statistical packages (75)
8.0
Report sharing and collaboration (103)
8.3
Publish to Web (94)
8.7
Publish to PDF (97)
8.5
Report Versioning (68)
8.1
Report Delivery Scheduling (73)
8.4
Delivery to Remote Servers (27)
8.3
Pre-built visualization formats (heatmaps, scatter plots etc.) (99)
8.5
Location Analytics / Geographic Visualization (98)
8.6
Predictive Analytics (75)
7.4
Multi-User Support (named login) (88)
8.5
Role-Based Security Model (71)
8.3
Multiple Access Permission Levels (Create, Read, Delete) (79)
8.4
Single Sign-On (SSO) (30)
7.9
Responsive Design for Web Access (77)
8.5
Dedicated iOS Application (55)
7.7
Dedicated Android Application (49)
7.4
Dashboard / Report / Visualization Interactivity on Mobile (71)
8.4
REST API (23)
8.0
Javascript API (22)
7.6
iFrames (21)
6.9
Java API (20)
7.4
Themeable User Interface (UI) (22)
7.7
Customizable Platform (Open Source) (18)
7.1

About Tableau Desktop

Tableau Desktop aims to allow people to make data-driven decisions with confidence, by helping them answer questions more quickly, solve harder problems more easily, and uncover new insights more frequently.

The vendor says that with a couple of clicks, Tableau Desktop connects directly to hundreds of data sources, both on-premises or in the cloud, with the goal of making it easier to start analysis. Interactive dashboards, drag and drop functionality, and natural language queries help users of all skill levels quickly discover actionable insights, all from an intuitive and visual interface. Users can ask deeper questions by quickly building powerful calculations, adding trend lines and seeing statistical summaries, or clustering data to see relationships.

Tableau's goal is to help people and organizations become more data-driven. With an integrated platform that is strives to be easy to start and scale, Tableau aims to support the entire analytics journey, from data preparation, to deep analysis, to the shared insights that drive the business forward.


Tableau Desktop Competitors

IBM Cognos, SAP Lumira Discovery, Qlik Sense, Microsoft Power BI, MicroStrategy Analytics, SAP BusinessObjects Business Intelligence (BI) Platform

Pricing

Has featureFree Trial Available?Yes
Has featureFree or Freemium Version Available?Yes
Has featurePremium Consulting/Integration Services Available?Yes
Entry-level set up fee?No

Free trials are available for both editions.

Tableau Desktop Technical Details

Deployment Types:On-premise
Operating Systems: Windows, Mac
Mobile Application:No