These visualizations can be shared in workbooks or published to Tableau Server. Powered by the analytics extension, you can build calculations in Tableau that pass data from a viz to Einstein Discovery, and get results dynamically. Users can now create table calculations that add Einstein ML predictions directly into Tableau visualizations. Bring predictions directly into calculated fields Part of this deployment includes automatically generating an analytics extension calculation that can be copied into Tableau. ![]() If the model fits your analysis and business context, users can deploy it to generate predictions on new data. The experience is designed to make analysis and predictions easily interpretable in the context of a business question. There are no black box algorithms used here, ensuring safe AI and control in the hands of business experts. In fact, transparency and ethics are built into the product’s foundation, with bias protection, predictive factors, and live model monitoring so that users can trust Einstein’s predictions. Einstein Discovery then presents automatically detected patterns in the data and a predictive model that can be evaluated for its performance. Users start by loading data into Einstein Discovery and then define a business metric they want to maximize (like sales or profits) or minimize (like patient waiting times). Analysts with domain knowledge of their business can build and deploy predictive models code-free. With these integrations, you’ll not only be able to understand what happened with historical data, but you’ll be able to bring the future into today’s decisions with predictions of what might happen and actionable recommendations you can take now.Įinstein Discovery brings AI-powered analytics to more decision makersĮinstein Discovery is Salesforce’s business-first ML platform that learns patterns from historical data which can be used to predict future outcomes. ![]() Bulk scoring and predictive insights in Prep Builder: Add a prediction step in your prep flow and bring prediction factors and improvements into your data set in bulk.Anyone viewing the viz can get a glimpse into the future, and even suggested actions to take. Einstein Discovery dashboard extension: Augment Tableau dashboards with predictions, explanations, and suggestions to improve predicted outcomes from Einstein Discovery, right within Tableau vizzes.Drag and drop your predictive calculation onto your viz to see intuitive predictions. Using the prediction capability is as simple as creating a calculated field with the new Einstein Discovery connection type. Einstein in Tableau Calcs: Einstein Discovery is now integrated into Tableau’s calculation engine.There are three ways to leverage the core ML technology of Einstein Discovery in Tableau-all with no coding required: Users across the organization are now enabled with powerful predictions and recommendations to make smarter decisions faster. We’re bringing powerful data science techniques closer to the business, beginning with Einstein Discovery in Tableau. This introduces an exciting new class of AI-powered analytics: Tableau Business Science. With the upcoming Tableau 2021.1 release, we’re delivering the first integration of Salesforce’s artificial intelligence (AI) and machine learning (ML) capabilities in Tableau. ![]() Reference Materials Toggle sub-navigationĮditor's Note: the Tableau Extension Gallery is now Tableau Exchange.Teams and Organizations Toggle sub-navigation.Plans and Pricing Toggle sub-navigation.Leverage table calculations (moving average, year over year growth, LOD (Level of Detail), etc. Perform statistical analysis in Tableau using R Use a multitude of charts (pie, bar, stacked bar, line, scatter plots, dual axis, histograms, heat maps, tree maps, highlight tables, box and whisker, etc.) What you'll learn Connect to various data sources such as relational databases (Microsoft SQL Server, MySQL), non-relational databases (NoSQL such as MongoDB, Cassandra), write your own custom SQL, join and blend data sources, etc. Pro Tableau demonstrates the power of visual analytics and teaches you how to: Connect to various data sources such as spreadsheets, text files, relational databases (Microsoft SQL Server, MySQL, etc.), non-relational databases (NoSQL such as MongoDB, Cassandra), R data files, etc. This book will help those familiar with Tableau software chart their journey to being a visualization expert. Use statistics and data mining to make compelling and interactive dashboards. Leverage the power of visualization in business intelligence and data science to make quicker and better decisions.
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