All Analyst Stories

Learn how Charles Schwab's contact center experience team analyzes call center data in Tableau to uncover clients feedback, questions, and responses to news, which impacts overall service.

Connect to your S3 data with the Amazon Athena connector in Tableau 10.3

Analytics technology is a business must-have, but what’s practical for actual use today?

Learn about TabPy, which makes it possible to use Python scripts in Tableau calculated fields. When you pair Python’s machine-learning capabilities with the power of Tableau, you can rapidly develop advanced-analytics applications that can aid in various business tasks.

Want more of your colleagues to dive into data? Introduce them to the data-informed way of life with an elegant dashboard about key metrics. A high-level dashboard that keeps the company updated at all levels and also drills down in seconds can help people evolve from passive consumers of data to self-service can-doers.

Tableau's features are carefully designed to help people transform data into meaning. The easier it is to express ideas in a calculation language, the more meaning people can generate. Level of Detail (LOD) Expressions allows people to express powerful concepts using simple statements.