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Tableau Strategies
Solving Real, Practical Problems with Data Analytics

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Format
Paperback, 575 pages
Published
United States, 31 May 2021

If you want to increase Tableau's value to your organization, this practical book has your back. Authors Ann Jackson and Luke Stanke guide data analysts through recipes for solving real-world analytics problems using Tableau. Starting with the basics and building toward advanced topics such as multidimensional analysis and user experience, you'll explore pragmatic and creative examples that you can apply to your own data.

Staying competitive today requires the ability to quickly analyze, visualize, and make data-driven decisions. With this guide, data practitioners and leaders alike will learn strategies for building compelling and purposeful visualizations, dashboards, and data products. Every chapter contains the why behind the solution and the technical knowledge you need to make it work.

Visualize different data types and tackle specific data challenges Create compelling data visualizations, dashboards, and data products Learn how to generate industry-specific analytics Use this book as a high-value on-the-job reference guide to Tableau Explore categorical and quantitative analysis and comparisons Understand geospatial, dynamic, and statistical and multivariate analysis Communicate the value of the Tableau platform to your team and to stakeholders

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Product Description

If you want to increase Tableau's value to your organization, this practical book has your back. Authors Ann Jackson and Luke Stanke guide data analysts through recipes for solving real-world analytics problems using Tableau. Starting with the basics and building toward advanced topics such as multidimensional analysis and user experience, you'll explore pragmatic and creative examples that you can apply to your own data.

Staying competitive today requires the ability to quickly analyze, visualize, and make data-driven decisions. With this guide, data practitioners and leaders alike will learn strategies for building compelling and purposeful visualizations, dashboards, and data products. Every chapter contains the why behind the solution and the technical knowledge you need to make it work.

Visualize different data types and tackle specific data challenges Create compelling data visualizations, dashboards, and data products Learn how to generate industry-specific analytics Use this book as a high-value on-the-job reference guide to Tableau Explore categorical and quantitative analysis and comparisons Understand geospatial, dynamic, and statistical and multivariate analysis Communicate the value of the Tableau platform to your team and to stakeholders

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Product Details
EAN
9781492080084
ISBN
149208008X
Dimensions
23 x 17.6 x 3.4 centimeters (0.65 kg)

About the Author

Ann Jackson is the founder and Chief Analytics Evangelist at Jackson Two, a boutique consulting firm specializing in data analytics and visualization. Her practice focuses on enabling and empowering businesses to fully utilize their data assets. This is accomplished by making compelling visualization solutions, training team members on modern analytics tools, and building connections between multiple data sources. Ann has been recognized as a Tableau Zen Master multiple times due to her mastery of the product, participation and leadership within the global community, and her contagious passion for data analytics. She has also co-led Workout Wednesday (WoW), a weekly data visualization technical skill building challenge, since 2018. Luke co-leads an analytics consultancy firm that focuses on data visualization and advanced analytics. He has worked for some of the largest retailers. He was awarded the status of Tableau Zen Master in 2019 for his mastery of the product, willingness to share knowledge, and most desire to grow the Tableau community and solutions of tomorrow. Luke co-leads WOW a Tableau community initiative where participants challenge themselves to rebuild a dashboard from scratch using predefined requirements and a fully built dashboard as inspiration. Luke has his PhD in Educational Psychology and is regarded for his data science expertise, where he blends business-first approaches, modern data approaches, and the latest advances in machine learning.

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