How do you or your organization use this solution?
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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.