Description
John Wiley Tableau Your Data! Fast And Easy Visual Analysis With Tableau Software by Daniel G Murray
Tableau Your Data is a comprehensive guide to the effective use of the Tableau Software toolset for data visualization. It covers the core feature set for data analytics, illustrating best practices for creating and sharing effective visualizations that support timely business decision-making. The author also covers little-known as well as more advanced features and techniques, illustrating those using detailed, real-world case studies that the author has developed as part of his consulting and training practice. The book is divided into 4 parts. Part 1 - Analyzing Data with Tableau Desktop briefly explains why and how Tableau differs from traditional business information analysis tools. The reader learns how to join files, blend data from disparate data, and build compelling visualizations that leverage Tableau's "Show Me" facility as well as ways to adjust Tableau's default settings in order to build more advanced chart types. The author also shows effective ways to perform ad hoc visual analysis and performance-tune dashboards. Part 2 - Sharing Information with Tableau Server shows how to deploy dashboards and visualizations to information consumers throughout the enterprise. Best practices for managing users, ensuring data security and scaling to a large user-base is covered. The full spectrum of ways reports can be consumed will be detailed including Tableau Server's native environment, embedding dashboards in websites, and publishing for consumption tablet computers - iPad or Android. Part 3 - Understanding Tableau Functions and Calculations - provides a detailed reference resource that will appeal to all users of all skill levels. Formula examples for Tableau's (116) functions will go beyond Tableau's manual by providing more detailed syntax, explanations, and examples. Part 4 - Use Cases for Tableau Software - depicts ways to leverage Tableau across the value chain in the enterprise through case studies that target common business requirements including: Analysis of sales, marketing, and CRM data; Analysis of financial and operational data; Analysis of spatial data.