5 Kinds of Advanced Analytic Scenarios in Tableau

What is Advanced Analytics?

Advanced analytics is a type of analytics that examines content or data autonomously or semi-autonomously. It extends beyond the traditional tools of business intelligence and incorporates cutting-edge techniques to uncover insights, as well as offer predictions and recommendations. 

Advanced analytics plays an integral role in business intelligence. It’s important for Data Analysts and Data Scientists who handle data to have a dependable platform, and those in the business world need to have access to tools that can help to streamline workflow and pose deeper questions about data.

Some of the techniques that are used in advanced analytics include:

• Machine learning
• Pattern matching
• Advanced visualizations
• Complex event processing
• Neural networks
• Graph analysis
• Simulation
• Semantic analysis
• Sentiment analysis
• Network analysis
• Multivariate statistics
• Text & data mining

This article will take a deeper look at one of the leading data analytics platforms, Tableau, to see what sorts of advanced analytics applications can be completed with the help of this application.

Tableau Advanced Analytics

Tableau is one of the leading analytics platforms for business intelligence and data visualization. It allows users to simplify raw data into a format that’s easy to access and understand by those working at any level of an organization. Even non-technical Tableau users can create customized dashboards and worksheets with the help of this versatile tool. Some of Tableau’s most remarkable features include its capacity for data blending, real-time analysis, and data collaboration. It can be installed directly onto one’s hardware from a web download and be operational in just twenty minutes.

Tableau advanced analytics uses visual representations of data to propel the analytic process. Because humans have an innate capacity to quickly notice visual patterns, Tableau’s VizQL, or visualization query language, can be utilized to transform drag-and-drop actions into data queries. By analyzing observable feedback, Data Analysts can learn more from it and even find ways to successfully guide subsequent exploration. 

5 Kinds of Advanced Analytic Scenarios in Tableau

Tableau’s advanced analytic features help users get the most from their investments and provide customers with fitting and helpful solutions. The following are some of the main advanced analytic functions Tableau offers:

• Statistical functions & advanced calculations: Tableau comes with its own language for calculations. This helps provide concise expressions to analysis augmentation and complicated data manipulations. When used alongside Tableau’s Summary Card function, built-in options are provided, which can be used for tasks such as statistical calculations and nesting basic aggregations. In addition, Tableau has two capabilities for advanced analysis: Level of Detail Expressions and Table Calculations:
  • Level of Detail Expressions, which allow users to calculate values at the level of data source and visualization. They can be used to calculate information such as the running total of sales by the first quarter of a given purchase data. 
  • With Tableau Table Calculations, time-consuming, difficult database tasks like creating lags, crafting data structure, and working with aggregated data can be completed with just a simple expression or a few clicks. Because there is no need to write any SQL code, even those who aren’t from a technical background can use Tableau for their complex calculation needs.
• External services integration: Machine learning workflows are easy to handle in Tableau, thanks to this platform’s integrations with MATLAB, Python, and R. Tableau is able to connect to an Rserve process, then send data to R by using a web API. Tableau then uses the results in its visualization engine. Stunning visualizations can be created in Tableau to reflect the results of complex modeling. This helps audiences from all backgrounds to pose what-if questions and research hypothetical scenarios by using the controls that are embedded directly into their dashboard.
• What-if analysis & scenario analysis: Calculations can be easily modified and various scenarios can be tested thanks to Tableau’s input capabilities. Tableau offers drag-and-drop segmentation, parameters, groups, and sets so that users can progress from initial questions to professional-grade dashboards that empower audience members from all backgrounds to pose their own questions and scenarios. 
• Predictive analysis & time series analysis: Most data projects are enhanced when predictive analytic techniques are used. Tableau makes this possible by supporting detailed configurations as well as interactive modeling. Because Tableau natively supports time series analysis and several other native modeling capabilities, users can delve into trends and seasonality, as well as execute various kinds of predictive analysis, such as forecasting. These capabilities make it possible to incorporate forecast data or a trend line directly into any chart and then right-click on it in order to view relevant details. These analytic capabilities are integrated into Tableau’s front end for easy access.
• Cohort analysis & segmentation: Investigative flow and drag-and-drop segmentation enable Tableau users to perform fast, flexible cohort analysis. This is especially useful in situations in which users wish to create a dashboard that illustrates a given country’s contribution to total sales across various product categories. In addition, multiple perspectives can be quickly evaluated when data is sliced along as many dimensions as the user wishes. With the help of automated clustering, segments can be improved and it’s easier to locate data patterns. Data Scientists working with Tableau can also explore test scenarios and hypotheses when performing segmentation and cohort analysis. In addition, when working with Tableau’s intuitive interface, as well as features such as Show Me, users can extract detailed analytical stories from data. Groups can also be created in Tableau, which helps to highlight the most important data points in a visualization.

As the above list indicates, Tableau offers many advanced analytic capabilities that help to augment human intelligence and our innate ability to visually interpret data. These capabilities were designed to be used by Data Scientists and business owners alike. Tableau remains dedicated to empowering users to ask questions about their data. It continues to incorporate new tools and features to help with analytics and advanced analytics so that helpful insights can be gathered quickly. With the help of the advanced analytic capabilities listed above, like advanced calculations and what-if analysis, all stakeholders at an enterprise can be involved with the data analytic process.

Hands-On Data Science and Tableau Courses

For those who want to learn more about advanced analytics, as well as the techniques and tools available to efficiently work with big data, Noble Desktop’s data science classes provide a great option. Courses are available in-person in New York City, as well as in the live online format in topics like Python and machine learning.

Those who are committed to learning in an intensive educational environment can enroll in a data science bootcamp. These rigorous courses are taught by industry experts and provide timely, small-class instruction. Over 40 bootcamp options are available for beginners, intermediate, and advanced students looking to learn more about data mining, data science, SQL, or FinTech. Courses run between 18 hours and 72 weeks in length.

In addition, a variety of live online Tableau courses are also currently available from top training providers. These interactive classes are taught in real-time and provide all learners with access to an instructor who is live and ready to provide feedback and answer questions. Courses range from seven hours to five days in duration and cost $299-$2,199.

Those who are interested in finding nearby Tableau classes can use Noble’s Tableau Classes Near Me tool. This handy tool provides an easy way to locate and browse more than three dozen of the best Tableau classes currently offered in the in-person and live online formats so that all interested learners can find the course that works best for them.