Tableau Strategies: Solving Real, Practical Problems with Data Analytics
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- Автор: Ann Jackson | Luke Stanke
- ISBN-10: 149208008X
- ISBN-13: 978-1492080084
- Edition: 1st
- Publisher: O'Reilly Media
- Publication date: September 28, 2021
- Language: English
- Dimensions: 6.93 x 1.34 x 9.06 inches
- Print length: 575 pages
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Sharing the knowledge of experts
O'Reilly's mission is to change the world by sharing the knowledge of innovators. For over 40 years, we've inspired companies and individuals to do new things (and do them better) by providing the skills and understanding that are necessary for success.
Our customers are hungry to build the innovations that propel the world forward. And we help them do just that.
From the Publisher
From the Preface
Why We Wrote This Book
We wrote this book to demystify the process of using Tableau to create data products and visualizations. In a sea of information about Tableau, we both felt there was a gap to be filled—one that outlines successful strategies for creating Tableau visualizations in any type of organization. This book is unique in that every strategy is something one or both of us has actually implemented and is accompanied by the thoughts and perspectives associated with the strategy.
Who Should Read This Book
This book is designed for anyone who is familiar with Tableau Desktop and creating charts, visualizations, and dashboards with the application. We’ve designed this book for someone who already knows how to connect to data, but is looking for inspiration and enhanced application of knowledge.
If you’re a data analyst, this book will resonate with you as it provides use cases and hands-on exercises designed from our own experiences. Each strategy is framed with stakeholder questions and context, and we take you from start to finish of how to build a visualization, why to build it, and lessons along the way.
If you’re an analytics leader, this book will help you navigate the myriad requests you and your team are bound to receive as you use Tableau to analyze and present data. With our strategies, you can avoid common mistakes, learn how to create the right data product for your audiences, and spend less time maintaining the products you do build.
If you’re a business intelligence developer or data engineer, we hope this book serves as a bridge between the technical realm of data and the more nuanced side of satisfying the business with analytics. You’ll see firsthand how the agile nature of using Tableau can provide direction on what type of data to capture, how to store it, and most importantly, how to share it.
Finally, if you’re new to the world of data and analytics, this book will serve as a comprehensive road map of the most common requests you’re bound to receive. This book does what no other before has done: takes real use cases and presents them in a format that any reader can learn and implement. As you delve into these chapters, know you’re reading the book we both wish we had as we started in our careers.