Ways to Tableau Improves Predictive Analytics
Tableau’s flagship product, Tableau Desktop, is a great tool that helps teams with self-service data visualization and analysis. While Tableau is known for its flexible front-end and intuitive visual interface, many data scientists now use Tableau for advanced analysis and predictive modeling. With unique features such as a built-in dashboard and a user-friendly design that is intuitive and does not require scripting knowledge, Tableau helps users complete sophisticated analytics projects in a fraction of the time compared to manual methods.
How Tableau promotes companies with predictive analytics
Tableau also integrates directly with external services such as directly with Python, R and MATLAB. It allows users to take advantage of other predictive services such as RServe and TabPy, facilitating collaboration from all possible channels.
Here are three ways Tableau can help organizations with predictive analytics.
Segmentation and cohort analysis
To validate a hypothesis, data experts first ask a series of questions and create relevant data segments for detailed analysis. Tableau offers rich features that enable users to perform iterative analysis and comparison of relevant data segments. For example, in a hospital, data analysts can divide patient volume by wards and then analyze the data into segments to validate their hypothesis about each ward’s mortality rate.
Scenario and what-if analysis
When performing what-if analysis, Tableau allows users to easily change the parameters to observe its impact on the calculation. As the feature is easy to use, even non-technical users can experiment with multiple inputs and explore the possible outputs from complex models.
Out-of-the-box statistics and predictable analytics technologies
With Tableau, it is possible to perform predictive analytics without much effort, making it easier to explore multiple scenarios quickly. Tableau’s table calculation function allows users to choose from a standard set of time series operations, such as moving averages, year-on-year calculations and current totals. It also allows users to write custom calculations. Tableau also allows users to take advantage of several built-in modeling options, including trending and forecasting, by simply using drag-and-drop functionality.
Generate Predictions in Tableau with Predictive Analytics & Modeling Functions
Tableau’s predictive modeling feature allows users to leverage powerful statistical models to build and update predictive models efficiently. It gives users the flexibility to select their predictors, collaborate on the model results within other table calculations, and comprehend and examine a large volume of data. It allows users to perform all these actions without writing any code in R or Python.
