What is your primary use case for Tableau?

We use the solution for operational reporting, dashboards, metrics, and ad-hoc analysis.

My team is working with Tableau to give presentations, create dashboards, and fetch reports from the system.

We use the product to build diverse dashboards for a revenue authority. It helps us analyze taxpayer behavior to understand payment patterns and identify areas for improvement in compliance.

Our customer uses Tableau for visual dashboard features.

My primary use case of Tableau was in conjunction with Salesforce to enhance my data visualization and analysis capabilities. Tableau empowers users to delve into their data deeply, effortlessly unlocking valuable insights and critical information. It's got a user-friendly interface and extensive visualization capabilities that allow me to create compelling reports and dashboards that help me make better decisions.

We use Tableau for the dashboard features. It helps us with the global planning of our business.

I use Tableau in a jewelry company to analyze sales and service inventory.

Our company uses dashboards to understand how much we can improve the situation, track performance in real-time and help managers react faster to non-obvious things. For our clients, we carry out system integration, and pilot projects, develop first dashboard layouts, provide system support during integration and post-sales service, and provide training to our clients. The main goal of customers is to understand whether they will get profits in the future or not and be able to influence the situation right now.

The best use case scenario for Tableau depends on the type of Tableau product you are going to use.

Tableau Server

Used to publish/develop dashboards across the enterprise, with many features like subscribe to data changes, comments/feedback on dashboard data, etc.

Tableau Desktop

Used to develop a dashboard that can be published on Tableau Server or you can share as a read-only dashboard.

I am using it for my personal use. I'm using Tableau Public. It is a downloadable version. I downloaded it to my system and installed it.

I have used Tableau to generate visualizations to calculate system trend analysis for business.

We use the solution for the dashboard and visualization. We are a consultant company with 20 employees. The solution is deployed on-prem. I am using the latest version.

I work in the hospitality industry and I use Tableau Online and Tableau Bridge with our food ordering company. In our specific uses, I have found that Tableau is very good for extracting data, rather than for working live on the data. Although the process of transferring data to Tableau isn't the best, once the data is already on Tableau, it works completely fine. I will typically make use of layer aggregation and other operations such as slicing and analyzing it by getting right inside the data in various ways.

SAP BW , TABLEAU Server an TABLEAU desktop, the Info from SAP were downloaded using SAP Data services and ABAPin a very large Steel Makin company in Latin America

We have a lot of use cases. We use it for real-time finance dashboard, real-time operations dashboard, and marketing insights.

When we work with CXOs to create dashboards we use Tableau. C-level employees like a CXO, a CEO, a VP, prefer to work with Tableau. It's easier and better for them.

Tableau can be helpful for BI reports and data dashboards. For example, say you are getting data from a few systems, and you want to see a consolidated report, like a management report or a transactional report. We use Tableau to build a dashboard using the data that we get.

Right now I use Tableau for learning purposes, such as open data sources, trying to learn the various visualizations that can be done on it.

The solution is primarily used for analysis purposes. I use it quite a lot.

I'm a computer science professor and I teach analytics. We use Tableau to teach students how to develop visualizations of data sets.

It is usually used to visualize how the data looks. It is used for drawing charts and different types of visualizations. You can visualize sales, profits, and metrics by geography, product categories, and so on. I'm using the 2020 version. The latest version came out in 2021. I've not downloaded that one yet. I'm using the last year's version.

We use this solution to create dashboards, analyze data and create presentation of data to have discussions with clients. We also use it to sort huge amounts of data.

It was for dashboards. The key use case was for creating visibility to performance metrics for the leadership team. It was the most recent version, and it was deployed on-prem.

Tableau is a data visualization tool similar to Microsoft Power BI.

We use the most recent version. We use the solution to engage the field teams and we integrate that with the data warehouse data and build the dashboards for them.

We have used this solution for enterprise reporting, ad hoc data exploration, and visualization.

We use this solution as well as provide it to our clients. It's generally used for visualization and reporting.

We use the solution for multiple functions internally, mainly for finance, accounting, and the operations team.

We primarily use the solution for our data visualization, our different types of data. It is linked to our normal data visualization. It's not usually related to the medical side of the business. However, it is related to the revenue, and financial accounting, and submission on the RCM side.

We are using the solution to monitor data platforms. This helps us to make forecasts of the use, growth, and disk space.

I have used Tableau in the past with other clients for enterprise-level data visualization for financial and manufacturing industries. I have also used it for documents dashboard and different kinds of KPI visualizations. I'm currently using it for academic purposes. In my current organization, we are not using Tableau. We are using Power BI.

We are consultants and implement this solution for many of our clients. We had a project for a telecommunications company, where we extracted the transaction data and helped them to find some trends and improve analytics. They were able to gain knowledge from the data and to see some KPI indicators and build some dashboards for commercial, risk and financial purposes. We help clients connect their raw data, prepare and clean, and generally carry out the cycle. We then help them to extract insights, trends and work on forecasting so they can visualize their indicators in dashboards or in some ad hoc analysis. I'm the general manager and we are partners with Tableau.

We use it for consulting and teaching purposes. We teach data science, and we use a data science tool. Most of the time, we use open-source tools, but we have also started to use some proprietary tools, such as Tableau. We will also explore other data science tools such as SPSS from IBM and SAS. We are using Tableau to teach students. We create a story on the data and teach them what kind of visualizations are more appealing to clients. The focus is on storytelling and what kind of visualizations are relevant for a specific business situation. We are using the latest version of Tableau, and it is deployed on my desktop.

The dashboards give us metrics around the sales of our company. Most are sales reports to let us know how we're doing across different account managers, as well as how we're doing according to our forecast and plan.

We use this solution to process and create reports for management. Within our organization, 10 people in marketing use this solution.

We use it for our customers in retail, healthcare, and manufacturing who need analytics. I'm doing use-cases like this a lot.

I primarily use the solution in order to utilize the graphs. It offers a good diversity of graphs and I can manage different data sets together with Excel. I can publish it for my manager, if, in the future, I'm going to use it at work.

I am into a new healthcare domain. I publish my dashboards and my audience are the providers.

The primary use case of this solution is for the BI daily usage and all of the KPI for analysis. It does many things.

Tableau is good for data analysis.

We use the solution to capture all the data from the business, we use it for many things.

The primary use case is for household survey and population, and housing census analysis. I have also been using it for monitoring and evaluation of projects. I provided Data Visualization skills to selected staff of The Gambia Bureau of Statistics (GBoS) in 2018 using Tableau. Previously, SPSS was used to analyze the data but after I introduced them to Tableau, the team was so happy that together we decided to look at the Census 2013 dataset and analyze it using Tableau. I have also used it to develop a key indicator list based on the Living Standards Measurement Survey.

We primarily use Tableau for reporting and visualization. Visualizations are important to us. My role is primarily concerned with financial planning and financial reporting.

In my consulting firm, I use Tableau for data visualization and data analysis. Alongside Tableau, I also use Python and, on occasion, SPSS. The EU had recommended Tableau for use in some of the statistics offices in Africa, including government institutes in Ghana, and just last week I was using it to do a program for the Ministry of Monitoring and Evaluation. There, I used Tableau to convey selling points to buy Tableau, which is one example of the consulting work I do for clients. I also train others in visual analysis with the use of Tableau. This September, I trained 265 medical statisticians. Last week, I trained 13 staff from the Ministry of Monitoring and Evaluation. And soon, I'll be training another group of 20 people on Tableau.

I primarily use the solution for data visualizations. For example, for analysis in my job, you can use a cloud of words and data with zip codes that you can then use to pull up maps. It's very powerful. You can use also use it to create tables and data frames. You can cross-reference a lot of variables. I just used the product to review data and for data visualization. For example, I was studying the numbers surrounding COVID-19. We were cross-referencing zip codes and data of infection in Brazil, and we are creating an assessment of regions in Sao Paulo state as COVID-19 was growing, so that we could suggest political actions to mitigate the risk of contamination.

We use Tableau for working with data.

There are many and various use cases. Some use it internally for inter-department analytics, sales analytics, campaign management, and sentiment analysis.

Tableau is an analytics tool so we use it to feed the data. I get the raw data. We use it for business problems. If I want to see what is happening in the market I have Tableau's raw data. I'll make sure that I take all that data and feed it into Tableau.

We have been using Tableau for all sorts of analytical tasks. When I was having an ERP SAP practice, we used SAP analytical tools and IBM Cognos plus Tableau for dynamic display session purposes. Tableau ended up being the best solution. That is why we moved over to Tableau. We predominantly implement and use Tableau.

We primarily use the solution for HR and energy dashboards. We have made and a few other dashboards for opportunities and accounts.

We use Tableau for BI reporting.

Our primary use case of Tableau is for reporting purposes for our clients. We provide analytics for clients, giving them the ability to build reports. We also have our own product which provides the data analytics platform. I'm a product manager and we are a customer of Tableau.

I used this solution for providing dashboard analytics from MySQL data.

We use this solution for enterprise reporting, dashboarding, and insight. We have an eight-core server. There are up to seven hundred unique consumers weekly, and twelve hundred monthly. There are twenty-five power users that publish to the server on a regular basis.

This product is for non-technical users who know, or may not know, what they need but would like to automate their processes.

We use Tableau and Tableau Server for data visualization. We have a Global Tableau Server used by five thousand users on a monthly basis, with fifty thousand email notifications and more than five hundred workbooks for sales, marketing, revenue management, and operations analytics.

We use this business intelligence tool to build dashboards to display some of the statistical and analytical information that our company gathers. We develop a precision medicine software platform that enables academic and community healthcare providers to implement and scale precision medicine programming. We capture clinical data, genomic and other molecular data, biomedical knowledge, and the relationships among them. We also provide integrated complex genomic and clinical data to clinicians with actionable insights.

I have a lot of experience using Tableau for the Healthcare Market. I use Tableau for visualization and reporting mostly. Main observations: * Tableau is nice and smooth. * Tableau is quite user-friendly and easy to use. * The digital agents were really great. * Clients and customers liked the visualizations. Overall, I got positive feedback from clients by using Tableau.

In particular, I believe in the ease that Tableau provides for generating statistics and content in real time. We no longer use the old system where we must load the data one by one, and with just one click, I can see all the information I need.

I use this program to visualize the data sets from front-line employees. Primarily, the tool is used for visualizing data.

* Creating dashboards to generate value out of data * Great features and functionalities with customized dashboards * Very intuitive and massive user support base.

We have used it for our program correspondence, basically, so how to program report to satisfaction of different programs. It helps us obtain information. We also use it for visualization.

I use this solution for healthcare analytics.

The primary use case is more visualization for user interactivity.

We use Tableau in my company because we are trying to add another revenue line because we use Quantrix modeler, which is a multi-internal spreadsheet to build our financial models. We had intended to deploy another step of our value chain for our customers, because it is simpler to view the data via Tableau instead of reading across tabs. It's an applet form that can improve the decision-making process.

I knew this service from my academic field and was able to transfer it to the workplace. It is an excellent tool for data capture, processing, and visualization. The application of statistical models on the data displayed is very useful, and it is not complicated.

Sales dashboards for management, which were implemented initially in v.10.2, then upgraded systematically with new releases to v.10.5.

Creates data visualization for final users, then shares these visualizations throughout the entire company. We offer Tableau as a product. As a partner, we recommend it to our customers. We use it internally to manage all our KPIs and services, so we also use it as a customer.

We use it for dashboard designing.

I've used Tableau primarily to visualize data on asset performance. These visualizations pertain to reliability engineering and I've created charts and dashboards showing key performance indicators such as mean time between failure for different asset components, trend/pattern of asset behavior (different types of events occurred in the asset) prior to failure and asset grouping based on their health and performance. Tableau is so flexible as to enable the user to show events that have occurred over the entire lifespan of each asset. Normally, this requires a bit of data-wrangling but in my experience this graphic has found a lot of favor with multiple clients. All of these visualizations were created in a local environment (at the desktop-level) using data from .xlsx and .csv files.