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DataStory: Explain Data and Inspire Action Through Story
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About DataStory: Explain Data And Inspire Action Through
Product Description Scientists have proven that stories make the brain light up in ways no other form of communication does. Using story frameworks as a communication device for data will help make your recommendations stick and be acted on. Organizations use data to identify problems or opportunities. The actions others may need to take today from your insights in data could reverse or improve the trajectory of your future data. So, communicating data well, drives very important outcomes. Even though most roles depend on data, communicating well is the top skill gap in roles using data. The essential skill for today’s leaders (and aspiring leaders) is shaping data into narratives that make a clear recommendation and inspire others to act. Almost every role today uses data for decision making. As you grow in your career, you can become a strategic advisor and ultimately a leader using data to shape a future where humanity and organizations flourish. Duarte and her team have culled through thousands of data slides of her clients in technology, finance, healthcare, and consumer products, to decode how the highest performing brands communicate with data. DataStory teaches you the most effective ways to turn your data into narratives that blend the power of language, numbers, and graphics. This book is not about visualizing data, there are plenty of books covering that. Instead, you’ll learn how to transform numbers into narratives to drive action. It will help you communicate data in a way that creates outcomes both inside and outside your own organization. It will help you earn a reputation as a trusted advisor, which will advance your career. it will help your organization make faster decisions and inspire others to act on them! Nancy Duarte is one of the preeminent storytellers in American business and the acclaimed author of Slide:ology, Resonate, and the HBR Guide to Persuasive Presentations comes this book that will help you transform numbers into narratives. Review "In an age where we are overwhelmed with data, telling a compelling data story is hard. What Duarte has done beautifully is help us connect with an audiences on a much more meaningful level. It's a must-read for business-storytellers everywhere who want to make a difference in their work." -Jeremy Waite, Chief Customer Office at IBM iX "Technology creates an unprecedented velocity of data today. Communicating data in the form of a story infuses it with meaning and meaning drives action." -Dr. Jennifer Aaker, General Atlantic Professor, Stanford Graduate School of Business "There is no shortage of data, but there is a shortage people who are able to bring that data to life — to tell a story that initiates real change for the business. There is no one better than Nancy Duarte to help you learn how to craft a DataStory and get to the right decisions quickly." -Tiffani Bova, Growth and Innovation Evangelist, Salesforce and bestselling Author, Growth IQ "Much of the disruption today is driven by data. Communicate well by combining storytelling with data and you’ll be better equipped to lead disruption and thrive in the future." -Charlene Li, author of The Disruption Mindset and the New York Times bestseller, Open Leadership "DataStory is a roadmap for anyone who works with data and struggles to bridge the precarious chasm between exploring data and explaining data." -Zach Gemignani, CEO Juice Analytics, Author of Data Fluency "Duarte recognizes and taps into our real, human desire for storytelling, even when we're dealing with data. In DataStory, as always, Duarte inspires while she teaches in her inimitable way." -Scott Berinato, author of Good Charts and Good Charts Workbook About the Author Nancy Duarte is a communication expert who has been featured in Fortune, Forbes, Fast Company, Wired, Wall Street Journal, New York Times, Time Magazine and on CNN. Her firm, Duarte, Inc., is the global leader behind some of the most influential visual messages in
