Visual Analytics for Everyone

3.9
16 reviews
Made for

Companies who want quality data visualizations and a high-speed, easy-to-use solution

Not for

Those who want to explore beyond out-of-the-box implementation and need advanced functionality

 
Free Trial
 
Starts at $999/user
Pricing details

Features

Tableau Desktop

Tableau Desktop is a simple and easy to use BI solution. Tableau offers users the chance to interact with data to create stunning visualizations, dashboards and reports in minutes. Tableau's drag and drop system displays data in seconds. Sort, add filters, highlight trends, identify outliers, create maps and more. Pull from potentially hundreds of different data sources including spreadsheets, databases, cloud data and big data like Hadoop. Quickly bring your data in-memory with Tableau Data Engine. Or connect directly to your database to see real-time live data. Switch between the two seamlessly.

Key features:

  • Apply filters and identify trends and outliers
  • Create maps from your data
  • Customizable dashboards, reports, and visualizations

Available data sources:

  • Spreadsheets
  • Databases
  • Cloud and Big Data
  • More

Tableau is built for speed and ease of use. It is 10-100 times faster than some other existing solutions, and is designed to support the way people naturally think. Drag and drop allows users to take advantage of their ability to quickly recognize visual patterns. Tableau is a fast, intelligent way to analyze data. Tableau also boasts automatically optimized touch experience for mobile and tablet users.

Data discovery features:

  • Data blending allows mixing disparate data sources with a click
  • Create and edit metadata as you go
  • Connect to hundreds of data sources with Tableau Desktop Professional Edition

Tableau can build new calculations from existing data, drag in reference lines and forecasts, or generate instant statistical summaries. Users can also experiment with trend analyses, linear regressions and correlations.

Additionally, with Tableau's Data Engine, extract data for ad-hoc analysis of massive data in seconds. Huge datasets can be analyzed on a laptop, offline or in-memory.

Compatibility & Integration

  • Prepare, blend and analyze data sources with Alteryx
  • Advanced predictive and spatial analytics
  • Refine and unify disparate data sources with Birst Connector
  • Access, manipulate and blend any kind of data with Data Monarch
  • Self-service analytics spans data retention, auditing and masking
  • Generate TDE files from Informatica's Power Center and Cloud

Mobile Access

Tableau Mobile is a fast way to keep data accessible on the go.

  • Author and view anywhere
  • Select, filter and drill down with finger taps.
  • High resolution images available as offline snapshots
  • Intuitive apps for iPhone, iPad and Android

Support

Contact:
  •  Email
  •  Phone
  •  Chat
Forums:
  •  Developer forum
  •  Community forum

Pricing

Basic info

 
Free Trial
 
Starts at $999/user

Reviews

3.9
16 reviews
Sort by
 
Client Interview
Nov 16 2016

Data Visualization for Offshore Analytics Firm

4.5

Features: 
4.5
Ease of use: 
4.5
Support: 
4.0
Willing to refer: 
4.5
See More
the reviewer
 
Management Consulting
 
11-50 employees
 
Pune, India
Director, Rudder Analytics
Soumen Saha
1
 
Verified
The Review
Background

Introduce your business and what you do there.

Our company, Rudder Analytics, was started one and a half years ago and provides end-to-end analytics services, including web analytics using platforms like Mixpanels, Google Analytics, BizMetrics, and so on. We gather data from various resources, using APIs and connecting through databases, and consolidate it into one place, where it can be harmonized and used to figure out actionable insights. We also perform statistical modeling, from machine learning to artificial intelligence algorithms. We also focus on visual analytics. Presentation is one of the most important aspects; if the data can't be presented in a way that can be understood, it's not of much use. There are many platforms available for this purpose, like Tableau, Power BI, and Qlik, as well as lightweight options like Klipfolio and Gekko, which are all a part of our service portfolio.

I’m the director.

Could you provide an example of a business challenge you were trying to address with Tableau?

Most of our clients prefer Tableau because of its robust features. Visualization-wise, no one can match Tableau at this moment. We have used it for e-commerce, retail, and healthcare platforms. Tableau's data manipulation features are the most appreciated. Qlik also had many data manipulation features and options, and it had an advantage over Tableau early on, but Tableau recently came up with different kinds of data manipulation features. Tableau has continued adding new features with each new version, which has made them very popular.

One of the most irritating pain-points for clients using Tableau is the Server feature, which creates many issues which not even the support can resolve. Everyone needs Tableau Server in order to share reports online, so this issue needs to be fixed.

Solution

Which data visualization platforms are you most familiar with?

Although the company was started only one and a half years ago, our team has been working in the industry for more than 8-9 years. The data visualization domain itself has seen many changes: earlier, big legacy systems like SAP, IBM Cognos, and Informatica, as well as some other players, were dominant, but they were phased out by more flexible solutions like Qlik, Spotfire, and Tableau (which has become the dominant platform over recent years). Microsoft's Power BI is also coming up hugely, as well as Google's Data Studio. It's a dynamic scenario and demands change based on business requirements, infrastructures, and budgets. We've had to roll with everything that the current dynamic scenario offers. As of now, even though Tableau is the number-one option, I see Microsoft Power BI and Google Data Studio capturing a lot of market share. 

Results

What are the biggest benefits of using a data visualization platform like Tableau?

Tableau can provide numerous different statistical analytics, like predictive and cohort analysis (which enables comparing different control groups, and seeing which one performs best, as well as how much profit can be gained in the future). This differentiates Tableau from other solutions in the market.

Pros

For Tableau, the visualization features have stood out, compared to the other platforms'. 

Cons

Are there any areas Tableau could improve?

The only thing I would say here is that Tableau needs to make the Server platform more robust, otherwise they will lose many clients to cheaper competitors.

4.5
Overall Score
  • 4.5 Features
  • 4.5 Ease of Use
  • 4.0 Support
  • 4.5 Willing to Refer
 
Client Interview
Aug 10 2016

Salesforce Integration and Data Analysis using Tableau

4.0

Features: 
4.0
Ease of use: 
3.0
Support: 
4.0
Willing to refer: 
5.0
See More
the reviewer
 
Information Technology and Services
 
11-50 employees
 
India
CEO of SCI-BI Systems
Balaji K P
1
 
Verified
The Review

BACKGROUND

Can you please provide a brief description of your company and the role that you play there?

SCI-BI is a Cloud Data Integration and Analytics company that is vendor neutral and puts customer interest in the forefront when suggesting tools and technologies.

As the need to move data from & into cloud becomes inevitable, the need for specialized skills in Cloud Data integration and Big-Data ETL [Extract, Transform and Load] becomes critical, and we provide just that. Our Engineers in SCI-BI have extensive experience in using the latest best practices and standards that evolve in the Industry. Each of them goes through a rigorous training process to upgrade themselves to the latest trends in the Industry.

Our methodology involves thorough scrutiny of data to report the right data, capturing erroneous data at early stages, and pushing towards the “Single Version of the Truth.”

Our primary focus is on Analytics, and we have expertise in Tableau, Qlikview, SAP BOBJ, Cognos, OBIEE and other tools.

CHALLENGE

Please discuss a specific business challenge that your company (or your client) was facing that you were able to resolve using Tableau.

Our client is a Salesforce product company that integrates data from various government sources and provides it to its end-users. We did their data integration from all sources into Salesforce.com. They wanted to analyze this data using the best solution possible and give useful insights to their end-users. They were not sure about which was the best solution for their use case. This is when we suggested Tableau on AWS [Amazon Web Services] to be the best fit considering the data complexity. We had to build a Datamart in AWS and use Tableau to aggregate over 8 million Salesforce records to provide different visualizations and dashboards. We built various, Crosstabs, Pie-charts, Geography and bar-charts from the data. There was a review session with the end customers, and they were thoroughly impressed with the insights provided. The best part was that these Tableau visualizations were integrated directly into the Salesforce page using a tool called Sparkler provided by Tableau.

SOLUTION

How did your company implement Tableau in this situation?

The client's data from Salesforce.com is incrementally extracted using Talend in AWS on a daily basis. This data is staged in a MySQL database before being loaded into Aurora DB Datamart using Ralph Kimball Strategy. There is an additional layer of ETL for data preparation to reduce complexity at Tableau layer. This is the most recommended strategy to get the most out of a Tableau investment.

Each dashboard was given a flat data source that contained everything the dashboard needs. In other words, all the visualizations that went into a dashboard connected to the same table (of course more than one dashboard may use 1 table). Even though all the joins were done at the data preparation step, all summarization was handled by Tableau (the final tables were built at a granular level). Alternatively, we could have created views as the final data points for Tableau, but our approach gave an enormous performance edge in Tableau overviews.

Was your company considering other platforms? What are the advantages of this platform?

Yes, we had compared with YellowfinBI & ElegantJ BI. Both are actually very good, but the customer was most impressed with Tableau.

On an annual or monthly basis, roughly how much does your company spend to utilize the platform?

This platform is in AWS. The customer got the licenses separately with 1 Tableau Desktop ($2,000 USD) and 10 end user licenses to start with ($1,000 USD per user). The AWS Tableau server costs approximately $1,000 USD per month.

RESULTS

Can you share any success, metrics, or overall results of your implementation of this platform?

The project overall is a success, with high customer satisfaction. Some of the graphs that were built totally surprised the customer, as they never believed it was possible given the nature of the data. This was possible because of in-house availability of ETL skills on our side that helps in effective data preparation.

FEATURES

Were there any software features/tools that you were really impressed by?

The best part of Tableau to me is the ability to perform advanced conditional aggregation. This is where Tableau stands out, compared to any other tool in the market.

Also, the ready to use AMI [Amazon Machine Image] on AWS meant the whole platform was up and running in 10 minutes. The connectivity to Amazon RDS was exceptional and the query results are instant.

Looking back, are there any areas of the software that you feel could be added or improved upon?

Yes, data blending should improve. Though the tool is promoted as a self-service business intelligence tool, a lot of customers are struggling because of lack of expertise with data preparation and blending. The ability to blend multiple tableau extracts would be a nice to have.

Also, the user interface should be more flexible for custom visualizations and dashboards. This is not a problem for self-service analytics, but often times, the business wants advanced reports authored to perfection which is hard with Tableau (the tool has its own brain and automatically adjusts the visualization based on the data). In many cases, we had to find a workaround which was luckily available.

Dashboard actions can lack clarity. It is a little confusing and take a while to get used to for business users.

Since we had the data in AWS RDS, it would have been better if Tableau allowed us to use a smaller server. The Tableau recommended server requirements are very huge, which is becoming expensive.

Have you had to interact with the platform’s support team or reference their support resources?

Yes, we had a polish session with Tableau support to enhance the appearance of the reports. This was also a Q&A session were we got some doubts clarified about Sparkler functionality and custom dashboards.

OVERVIEW

We ask you to rate the software on a scale of 1-5 with 5 being the best.

What would you give the software for functionality of the features available?
4

What would you give the software for ease of use or ease of implementation into your business?
3

For support, as in responsiveness of the team or helpfulness of the resources available?
4

How likely are you to recommend the software to a colleague or similar business?
5

Overall satisfaction with the platform?
4

4.0
Overall Score
  • 4.0 Features
  • 3.0 Ease of Use
  • 4.0 Support
  • 5.0 Willing to Refer
 
Client Interview
Apr 13 2016

Visualizations and Analytics for Consulting Firm and Clients

5.0

Features: 
4.0
Ease of use: 
5.0
Support: 
5.0
Willing to refer: 
4.5
See More
the reviewer
 
Computer Software
 
11-50 employees
CTO at Dexlock
1
 
Verified
The Review

BACKGROUND

What is your position?

I am the Chief Technology Officer of Dexlock.

CHALLENGE

Could you describe a specific business challenge faced by your company or a client, in which you were able to implement Tableau as a solution?

One of the projects we've worked on was for an energy optimization solution for an organization in the UK. In that region, there are domestic gas pipelines for residential users. The problem was that gas was being sent out at certain temperatures, which is meant to avoid accidents. It was necessary to keep the gas liquefied before being delivered to homes. They installed a heater before the multiplex delivery point. This heater would turn on and off, increasing and decreasing the temperature based on a control system. The problem was that this system had glitches, giving a delay of a few seconds which caused losses of more than $100,000 per month in each region. They captured a lot of information, like the speed with which the gas entered the heater, the initial temperature, pressure conditions, the time of the day, and so on. We tried to identify a correlation between the different statistical components and how they affected outcome. We took all the scenarios causing leaks, identified data points and plotted them against every other statistical measurement available using Tableau. In doing so, we were able to obtain shift patterns for the gas. I could see that the rate of change in velocity was proportional to the response time for the system. We utilized this information in order to determine how fast the heater should be turned on and off, thereby saving almost $80,000 per month.

FEATURES

Are there any features in Tableau that have stood out to you as being particularly useful?

Tableau has been extensively used to analyze and visualize data. It's not a just visualization tool, it actually provides analysis functionality. The statistical techniques available within it can be used for creating reports. We also use other computative products like Pentaho or ReportServer, which is not very popular but its open sourced and has many of Tableau's capabilities. Its interface is not as neat though. Other than that, we mostly use custom parts based on JavaScript.

Tableau is a very neat and tidy solution. It's more likely to deliver a report without any complications. Some of the open source solutions have less obvious interfaces which are not very user-friendly. Tableau is not a superpower engine compared to things like Pentaho, which can crunch a lot of data and has a lot more capabilities. It does win the race when it comes to a clean user experience though. It's the sole reason for its high adoption rate in comparison to other data visualization and reporting tools.

For example, a company can have a lot of information in relation to referrals. A member can be given 10 referrals and they will be able to convert 10% of those. The aim is to do an analysis of how well the sales team is performing over time. On Tableau, data points can be put on an X-Y axis or a line chart. The standard deviation can be measured and focused on the points with a high standard. These capabilities are built into Tableau, allowing users to play with data and not simply visualize it.

There are many tools that provide such reporting capabilities. Ease of use is the key differentiating feature that I would highlight for Tableau.

Are there any services which haven't performed up to your expectations, or is there any tool which you'd like to see implemented within Tableau?

Right now, Tableau is more or less a report generation tool with visualization and some analytics features. They haven't gotten very far into the predictive modeling pit. There are other tools like Knime, which we've adopted lately. They don't have a great reporting solution, but if it could be combined with another tool, using Knime for the ETL [extract, transform, and load] portion and feeding the data to something such as Tableau, it would provide the perfect combination. We're now feeding data points using Knime and creating reports with Tableau. The data is stored as CSV, but if there would be an actual integration between the two, it would be great.

Have you had interactions with any of their support team or support resources?

The support team is very cordial and well-prepared. We received quick answers, rather than waiting for days and days.

OVERVIEW

We have five additional questions. For each of these, we ask that you rate Tableau on a scale of one to five, with five being the best score.

How would you rate Tableau for its functionality and available features?

Four.

How would you rate Tableau for ease of use and ease of implementation?

Five.

How would you rate Tableau for support, as in the response of their team, and the helpfulness of available resources online?

Five.

How likely are you to recommend Tableau to a friend or colleague, out of five?

Four and a half.

How would you rate Tableau for overall satisfaction with the platform?

Five.

5.0
Overall Score
  • 4.0 Features
  • 5.0 Ease of Use
  • 5.0 Support
  • 4.5 Willing to Refer
 
Online Review
Nov 23 2015

Boutique Analytics Firm Review of Tableau

4.0

Features: 
4.0
Ease of use: 
4.0
Support: 
3.5
Willing to refer: 
4.0
See More
the reviewer
 
Confidential spend
 
Information Technology and Services
 
51-200 employees
 
India
Senior Analytics Consultant at Tiger Analytics
Rahul Jain
1
 
Verified
The Review
Recommendations

I would recommend them to clients when it suits their business needs. The tool is quite stable with most environments, so I am quite satisfied with the tool. All the basic features are covered well. The finishing in terms of colors, filters, and dashboard frameworks are nice. Since many of features are menu driven, there is ease of use to start with.

The forum is active with Tableau support team and tableau users by general standards but, sometimes, the response from the support team could be faster. 

Experience

Tiger Analytics is a boutique advanced analytics firm that provides services to businesses to help them make data-driven business decisions. We combine our quantitative modeling expertise with a deep understanding of business needs and utilizing state-of-the-art technologies to solve complex problems. We have a strong team of data scientists, data engineers, and business consultants who primarily focus on three work streams: data science, data engineering, and business insights.

I am Rahul Jain, senior analytics consultant at Tiger Analytics, and I am currently working with state-of-the-art tools and technologies to solve business problems for our clients across different domains using analytics. I also design reporting and advanced analytics solutions and handle solution delivery for multiple clients.

We have leveraged Tableau for multiple clients to provide solutions ranging from basic reporting to benchmarking analysis to advanced and predictive analytics based on what's best for our clients.

Let's look at a use case: For one of our clients the business objective was to gain actionable insights from their deal losses. We needed to slice and dice sales transaction data, incorporate results of a predictive model, and do text analytics on sales representative notes, all obtained from different geographies. We leveraged the Tableau platform to get data from multiple sources at different levels and blended them together to form an insightful single view.

For another client that provides payment solutions, we provided quarterly business performance reports on top of a very large and complex database. This helped our client gauge quarterly performance, compare weekly trends, create alert mechanisms using the trends, identify major reasons for payment dropouts and give recommendations to act on them.

Pros

The support team and support forum (knowledge base tableau forum) is active. The product development team is agile and keeps introducing new features with every release.

They have seamless enterprise wide scalability. Since many of the commonly used features are menu driven, ease of use is very high as generally other competitors are more technical and coding oriented. It is also visually appealing. Constantly improving features, scalability, data handling, new features (like story point and statistic pane) are the signs of an evolving product.

Its ability to take data from a plethora of data sources, including the connection to SAS file format now, at different levels and seamlessly handle the data blending is also a big plus.

Cons

First is backward compatibility view. A file created in the latest version of Tableau should work in at least one or two previous versions with some compatibility views. Second would be, though I know they are working on it, more API [application programming interface] calls to automate processes.

Please describe the scope of Tableau involvement in detail.

Tableau provides a lot of flexibility in terms of designing the same dashboard with different looks for different levels of executives or for different geographies. Also, it can connect to multiple databases, setup live connections to see live reports, and set up refresh of data as well. For the quarterly business performance report we created, we just had to refresh the background data without having to change the dashboard.

We also leveraged Tableau to showcase predictive model results with "What-if" scenarios rather than presenting the results in a PowerPoint presentation. The client is also able to obtain hands-on exposure to the model on occasions.

Could you provide a sense of the size of this initiative in financial terms?

The numbers and proposals are confidential. In terms of designing, it depends on whether Tableau will be used at an individual level, or in a small group, or at an organizational level. We have worked with a client where we started with a Tableau project as a proof of concept (with a handful of Tableau individual licenses) and they have now embraced Tableau organization wide with server installations.

Could you share any statistics or metrics from this engagement?

The quarterly business report helped our clients track accounts, which have high potential or the ones that are not doing very well for a large number of client's customers. Additionally, for the clients which are not doing well we highlight and recommend areas to improve in quarterly reports.

4.0
Overall Score
  • 4.0 Features
  • 4.0 Ease of Use
  • 3.5 Support
  • 4.0 Willing to Refer
 
Survey Response
Feb 22 2016

Tableau useful for government program participants

4.0

Features: 
4.0
Ease of use: 
4.5
Support: 
3.0
Willing to refer: 
4.0
See More
the reviewer
 
Other: government
 
5001+ employees
 
Charleston, WV
Associate
1
The Review

Experience:

I actually did not originally have a choice in using Tableau, it is software provided by one of our contractors. The software helps to analyze purchase patterns for government program participants. Due to this we are able to tailor the types of items we offer, as well as detect fraud. I use many different types of reports populated by purchase transaction information. I am able to edit reports based on various criteria such as location or types of items purchased. This solution has performed very well. My company is able to determine what types of items our clients do and do not purchase. From this we are able to modify the particular items our program offers to the clients in order to maximize their benefit usage.

Pros:

I like the ease of modifying reports. I can add or remove information quickly to drill down to the level of detail needed.

Cons:

It currently meets all our needs very well.

 
Survey Response
Feb 22 2016

Tableau Data visualization

5.0

Features: 
5.0
Ease of use: 
5.0
Support: 
5.0
Willing to refer: 
0.5
See More
the reviewer
 
Information technology
 
1001-5000 employees
 
Atlanta, GA
Manager
1
The Review

Experience:

When it comes to data visualization, nothing I’ve used yet in my career can touch Tableau in terms of power, features, ease of use and data connection services. It is a complete solution that is able to integrate with almost any data type or source imaginable, with relative ease for any organization with moderate knowledge in the area. Once your data is in the system, the capabilities have proved to be endless. At my organization we’ve used Tableau’s basic visualization capabilities to create visualizations in a few clicks that would take much longer in any other software. This is possible without much difficulty and most analysts can pick up the tools' basic and intuitive features easily. However, as we’ve developed our skills, we’ve managed to take advantage of the real power of the tool, which is a little more complex, but well worth learning. The learning curve is a little steeper, but once you’ve mastered custom calculations, filtering, parameters and advanced dashboard formatting, essentially anything can be done in Tableau. New ways to use the engine are always being developed by power users, and one of the best things about the tool is that the support website, training opportunities and incredible support forums are the best I’ve seen. If I need to know how to manipulate an important custom calculation, I can post to the forums and get a solution within the hour. We use Tableau for data visualization. Overall, Tableau provides the platform to take our analytics to a higher level by giving us the ability to easily integrate multiple data sources, automate and recreate reports easily, and follow visualization best practices while customizing to an audience.

Pros:

Easy for beginners but incredibly powerful for more experienced users – Huge range of data connectivity is supported – Great improvements to Dashboard formatting from previous versions – Custom calculations make almost anything possible – Top notch training and support website

Cons:

Full capabilities not realized until being used with Tableau Server – Learning curve can be greater for more advanced features

 
Survey Response
Feb 22 2016

Tableau has good data visualization

4.0

Features: 
4.0
Ease of use: 
2.5
Support: 
3.5
Willing to refer: 
4.0
See More
the reviewer
 
Manufacturing
 
5001+ employees
 
Minneapolis, MN
Senior Manager
1
The Review

Experience:

We use Tableau in conjunction with salesforce.com to handle our go-to-market campaigns. This is largely around strategic pricing but also includes SKUs, geographies, salesperson performance, margins, etc. This activity is housed within Sales as a part of our strategic pricing initiative. Not everyone has full access but our analysts and manager liase with marketing (my team) and sales before, during, and after each campaign. We use data analytics in our "war room" to monitor the progress and make adjustments. This has resulted in at least $1 MM in additional margin - or rather stopped over $1 MM in margin leakage. From my standpoint, it is used mostly for data visualization. Our analysts send out dash board reports but I think the biggest value is our workshops where we project Tableau and ask a series of questions to our analysts who are able to essentially perform them in real time. This is in contrast to our legacy systems and Excel where outputs were limited to how you structured the initial spreadsheet and work had to be taken offline. We have seen strong performance from our strategic pricing initiative. Tableau merged seamlessly with our pricing software. As I stated earlier, we have seen north of $1 MM in return on our investment.

Pros:

I really enjoy the visualizations and the ability to pull in our existing databases but produce outputs that we never could before. I also like the object-based interface rather than cells and numbers.

Cons:

The only thing I would say is that the Tableau skillset rests in a relatively few hands. A combination of licensing cost and complexity has kept us from rolling it out to the entire customer-facing organization (other than read-access for reports).

 
Survey Response
Feb 22 2016

Self-serve reporting

4.0

Features: 
3.5
Ease of use: 
4.0
Support: 
2.5
Willing to refer: 
4.0
See More
the reviewer
 
Retail
 
5001+ employees
 
Chicago, IL
Manager
1
The Review

Experience:

We needed a tool that would allow us to self-serve for reporting needs and to not have to rely on our Business Inteligence department due to resource constraints. We use Tableau for Data visualization and reporting. Also for Data warehousing. We have been able to allow business units to self serve on reporting needs. We do still rely on data engineers for coding and reporting setups but for the most part, once they are set up the businesses are self sufficient.

Pros:

Tableau is easy to use once proper reports are created and the proper data is warehoused/connected.

Cons:

Reports can run slowly due to a high volume of data.

 
Survey Response
Feb 22 2016

Easy to use dashboards

4.5

Features: 
4.0
Ease of use: 
5.0
Support: 
5.0
Willing to refer: 
5.0
See More
the reviewer
 
Business services
 
501-1000 employees
 
New York, NY
Senior Manager
1
The Review

Experience:

I went with Tableau for its dashboard capability and ease of use. Dashboards and sharing are the key features for us. Tableau has performed great. We have quicker and real time access to data from our various databases in one location.

Pros:

Ease of use and streamlined system resources to use the tool are great advantages.

Cons:

The user experience could be improved by allowing Tableau to pull from more databases. There is a limit to the amount of feeds you can pull from.

 
Survey Response
Feb 22 2016

Excellent performance and good speed

5.0

Features: 
4.5
Ease of use: 
4.5
Support: 
4.0
Willing to refer: 
5.0
See More
the reviewer
 
Health care & life sciences
 
5001+ employees
 
San Francisco, CA
Manager
1
The Review

Experience:

We needed to use big data from multiple external sources, all with different formats. Tableau provided us with a means to consolidate these data, analyze and display them in a user friendly dynamic approach, allowing multiple stakeholders to be able to review the data. We currently use Tableau Desktop. Tableau has performed excellently - the team can review the data in an insightful manner, faster and come to a common understanding sooner than with static analyses.

Pros:

The speed is good. Tableau offers great data visualizations and it works with multiple types or sources of data.

Cons:

None