DataStory: Explain Data and Inspire Action Through Story

by Nancy Duarte

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. Nancy Duarte is one of the preeminent storytellers in American business and the acclaimed author of , Resonate , and the HBR Guide to Persuasive Presentations comes this book that will help you transform numbers into narratives.

Genres: Business, Nonfiction, Communication, Design, Leadership, Personal Development, Reference

240 pages, Paperback

Published September 17, 2019

About the author

Nancy Duarte is an American writer and CEO of Duarte, Inc., a communications firm in the Silicon Valley. She is a presentation specialist whose client list includes most Fortune 500 companies.

Reviews

[Bonnie Barrilleaux · Rating 4 out of 5]

Beautifully, artfully arranged book that's a joy to browse. There are a few key reference pages that I'll return to: lists of words to choose from when describing data; ways to annotate data points on a graph. I attended and loved the Datastory workshop a few years ago, so it's hard to judge how much I'd get from the book alone, but I definitely got a lot from the workshop, and the book is a faithful representation of it.

[Melissa Boatwright · Rating 4 out of 5]

This is a great refresher for those who work with data a lot, and probably a good introduction for those who are beginning to work with data more. It's definitely written more for a beginner-level data storyteller. I'm going to keep this on my desk at work as a reference guide, but overall, I gave it a 4 out of 5 because it was a little elementary.

The one thing I really liked, that I would have liked more time spent on, was the element of humanizing the data.

[Anastasija · Rating 4 out of 5]

First of all, I loved the editing of the book. It was quite a refreshing look inside a book.
This book teaches you how to avoid those meetings where everyone's staring blankly at slides full of statistics, by blending data with storytelling techniques and making those meetings fun and productive.

[Nick · Rating 5 out of 5]

Nancy's done it again -- another masterful book on presentations, this time specifically for data geeks. She starts with what's basically the 3-act story structure, with numbers: situation, complication (but), resolution (so). Use the what, why, how structure: we need to do x, because y, how z. All the rest of it is good advice for taking care of the details elegantly, coherently, and clearly. And we know the devil is in the details! This is a master of presenting explaining it with the clarity and power that comes from a deep understanding of the craft.

[Erin · Rating 4 out of 5]

The first half was more helpful than the last, but the stories did make good examples.

[Rach · Rating 4 out of 5]

“We rely on data to tell us what has happened, and stories to tell us what it means.”

This is a smart (and geeky) book that explores how storytelling can bring clarity to data. What I found especially engaging and cool was how the author connects data narratives to familiar storytelling concepts like the hero’s journey and uses examples from film. As someone who loves movies, it made the connections made in the text more memorable and fun.

This book offers a useful and very thoroughly researched perspective on how structure, emotion, and intention can transform seemingly random numbers and information into digestible visuals, making it a valuable read for a designer or other professional interested in communicating ideas more effectively.

[Alexis Kelley · Rating 2 out of 5]

It was good, and very helpful for presentations! Lots of images and tips on how to best present an idea in a way that tells a story. Never would have like read it for fun tho lol

[Reid · Rating 3 out of 5]

I thought this was an incremental improvement over slide:ology: The Art and Science of Creating Great Presentations. I characterized that book when I first read it as, "Hi, I'm a great designer and I'm going to show you why." This book as a step in the right direction towards, "Hi, I'm a great designer and I'm going to show you HOW." I found it a little hard, however, not to be annoyed by the sales-pitchy nature of the book. Duarte introduces a communication medium that she's invented (and trademarked!), then sprinkles in upsells to the courses that she's happy to sell you about how to become more proficient at creating this thing that she just made up.

[Kate · Rating 2 out of 5]

3.5. It’s a good book for data professionals, though I feel like it’s more for consultants that have more time to craft good narratives than data analyst who need to quickly provide answers. Still, a good read and some good references page to help creating a good story when presenting data results. Maybe because I prefer the more technical aspect, I preferred “storytelling with data” than this book, I found Data story a little less practical.

[Thanh Nhàn · Rating 5 out of 5]

DataStory: Explain Data and Inspire Action Through Story là một cuốn sách vô cùng hữu ích cho những người làm việc với dữ liệu và mong muốn biến dữ liệu thành câu chuyện cảm động và đầy ý nghĩa để truyền tải thông điệp cho người đọc.

Cuốn sách này do tác giả Cole Nussbaumer Knaflic viết, được xuất bản bởi Wiley vào năm 2019. Cole Nussbaumer Knaflic đã làm việc với dữ liệu suốt 12 năm và đã từng làm việc với các công ty như Google, Adobe và Ebay. Trong cuốn sách, cô chia sẻ các kinh nghiệm của mình để giúp người đọc hiểu rõ hơn về cách biến dữ liệu thành câu chuyện để thuyết phục người đọc.

Cuốn sách được chia thành 4 phần chính với các chương nhỏ bên trong:

Phần 1: Why Data Storytelling Matters
Phần 2: Principles of Data Storytelling
Phần 3: Bringing Data Storytelling to Life
Phần 4: The Future of Data Storytelling

Phần 1: Why Data Storytelling Matters
Trong phần này, tác giả giải thích vì sao việc kể câu chuyện với dữ liệu là rất quan trọng trong kinh doanh và thuyết phục khách hàng. Bằng cách sử dụng các ví dụ thực tế, cô chứng minh rằng việc biến dữ liệu thành câu chuyện có thể giúp người đọc hiểu rõ hơn về những thông tin cần thiết, đồng thời thuyết phục họ đưa ra quyết định đúng đắn.

Phần 2: Principles of Data Storytelling
Phần này giúp người đọc hiểu về cách xây dựng câu chuyện dựa trên dữ liệu. Tác giả cung cấp cho người đọc một số nguyên tắc cơ bản để giúp họ biến dữ liệu thành câu chuyện hấp dẫn. Các nguyên tắc này bao gồm: hiểu rõ đối tượng của bạn, biết cách kể chuyện, sử dụng những con số đúng đắn và tập trung vào điểm chính của câu chuyện.

Phần 3: Bringing Data Storytelling to Life
Phần này cung cấp cho người đọc các công cụ và kỹ năng để thực hiện các nguyên tắc được trình bày trong phần 2. Tác giả giới thiệu các công cụ để biểu đồ hóa dữ liệu và xây dựng câu chuyện dựa trên dữ liệu. Côcũng chia sẻ về cách lựa chọn các biểu đồ phù hợp và cách sử dụng chúng để truyền tải thông điệp. Ngoài ra, cô cũng đưa ra một số lời khuyên và kinh nghiệm trong việc thuyết trình dữ liệu và câu chuyện.

Phần 4: The Future of Data Storytelling
Trong phần này, tác giả dự đoán tương lai của việc kể câu chuyện với dữ liệu và những cách tiếp cận mới sẽ được áp dụng trong tương lai. Cô nói về sự phát triển của trí tuệ nhân tạo và các công nghệ mới như VR và AR và cách chúng có thể được áp dụng để biến dữ liệu thành câu chuyện.

DataStory là một cuốn sách cực kỳ hữu ích cho bất kỳ ai làm việc với dữ liệu và mong muốn biến dữ liệu thành câu chuyện để truyền tải thông điệp. Tác giả đã giải thích rõ ràng về lý do tại sao việc kể câu chuyện với dữ liệu là rất quan trọng và đưa ra những nguyên tắc cơ bản để biến dữ liệu thành câu chuyện hấp dẫn. Cuốn sách cũng cung cấp cho người đọc các công cụ và kỹ năng để thực hiện các nguyên tắc này, đồng thời cũng đưa ra một số lời khuyên và kinh nghiệm để thuyết trình dữ liệu và câu chuyện.

Ngoài ra, cuốn sách cũng có rất nhiều ví dụ thực tế và minh họa giúp người đọc hiểu rõ hơn về cách áp dụng các nguyên tắc và công cụ vào thực tế. Các ví dụ này không chỉ đến từ các công ty lớn như Google, Airbnb hay Facebook mà còn từ các tổ chức phi lợi nhuận và các chính quyền địa phương.

Tuy nhiên, có thể rằng cuốn sách hơi dài và chứa nhiều chi tiết, đặc biệt là đối với những người mới bắt đầu làm quen với kể câu chuyện với dữ liệu. Vì vậy, đối với những người mới bắt đầu, có thể cần phải dành thời gian để thích nghi và áp dụng các nguyên tắc và kỹ năng trong cuốn sách.

Tóm lại, DataStory là một cuốn sách cực kỳ hữu ích và chứchắc chắn sẽ giúp cho những người làm việc với dữ liệu có thể biến dữ liệu thành câu chuyện để truyền tải thông điệp một cách hiệu quả hơn. Cuốn sách không chỉ giúp người đọc hiểu rõ về tầm quan trọng của việc kể câu chuyện với dữ liệu mà còn cung cấp cho họ các công cụ và kỹ năng để thực hiện các nguyên tắc này. Cuốn sách cũng cung cấp cho người đọc những lời khuyên và kinh nghiệm để thuyết trình dữ liệu và câu chuyện một cách hiệu quả.

Nếu bạn là một nhà phân tích dữ liệu, một nhà tiếp thị, một giáo viên, một nhà quản lý hoặc bất kỳ ai làm việc với dữ liệu và muốn biến chúng thành câu chuyện thú vị để truyền tải thông điệp một cách hiệu quả, thì cuốn sách DataStory sẽ là một tài liệu hữu ích cho bạn. Đây là một cuốn sách không chỉ giúp bạn hiểu rõ về tầm quan trọng của việc kể câu chuyện với dữ liệu mà còn cung cấp cho bạn các công cụ và kỹ năng để thực hiện các nguyên tắc này.

Tuy nhiên, nếu bạn mới bắt đầu làm quen với việc kể câu chuyện với dữ liệu, có thể bạn sẽ cần phải dành thời gian để thích nghi và áp dụng các nguyên tắc và kỹ năng trong cuốn sách. Ngoài ra, nếu bạn mong muốn tìm hiểu thêm về các công nghệ mới và cách chúng có thể được áp dụng để biến dữ liệu thành câu chuyện, thì phần 4 của cuốn sách sẽ giúp bạn hiểu rõ hơn về tương lai của việc kể câu chuyện với dữ liệu.

Tóm lại, nếu bạn muốn biến dữ liệu thành câu chuyện thú vị để truyền tải thông điệp một cách hiệu quả hơn, thì cuốn sách DataStory chắc chắn sẽ là một tài liệu hữu ích cho bạn. Cuốn sách cung cấp cho bạn tất cả những gì bạn cần để thành công trong việc kể câu chuyện với dữ liệu, từ các nguyên tắc cơ bản đến các kỹ năng và công cụ cần thiết, cùng với những lời khuyên và kinh nghiệm từ
Mình mua sách gốc cuốn này tại Bookee, bạn cần mua thì có thể thảm khảo ở đây: https://bookee.store/datastory-explai...

[Steven Thomas · Rating 5 out of 5]

"Data Story: Explain Data and Inspire Action through Story" by Nancy Duarte is a guide on how to transform data into compelling narratives that drive action. If you are involved in a product management role, this book would be very useful in helping you perform better in story reviews, business reviews, insight reports, and anything else involving data-driven storytelling. The book emphasizes the importance of blending data with storytelling techniques to make information more engaging and persuasive. Duarte provides a framework for creating data stories that resonate with audiences by using a clear narrative structure, incorporating visuals, and focusing on the audience's needs and context.

This is one of the most professionally useful and relevant reads I have had in a long while. If you work in any kind of product development whether it is at the technical, managerial, or leadership level, this is a worthy read (and re-read, and reference, and re-reference.) It takes the techniques of data visualization to the next level – crafting stories with that data in order to shape strategy and make decisions from that data. There are also many great one-liners, too many to list, but some of the great ones are:

· “Facts aren’t memorable as stories.”

· 3 levels of decisions made from data – discrete, operational, and strategic.

· Craft actions with the best strategic insights.

· Leverage the structure of a story arc – tell the data story as any other story.

· Be your own skeptic.

· Which types of charts are great for exploring and which kind are better for explaining.

· Make insights visually consumable.

· A slide deck is a visual book.

· Data confirms an emotional arc in stories.

The book starts with the topic of understanding the audience. The importance of knowing your audience and tailoring your message to their needs and interests. This ensures that the data story is relevant and engaging. It then moves into crafting a clear narrative. The book outlines how to structure a data story with a beginning (context and objectives), middle (methods and findings), and end (conclusions and implications). This helps in making complex data understandable and actionable. Then it dives into how to use visuals effectively. Duarte highlights the role of visuals in enhancing the impact of data stories. She provides tips on how to use charts, graphs, and other visual elements to support the narrative and make the data more accessible.

There are also many examples in the book that can help product groups understand customer experiences better:

Empathy and Relevance: By understanding the audience's context and what matters most to them, product groups can create narratives that resonate with customers' experiences. This approach ensures that the storytelling is relevant and addresses the specific pain points and needs of the customers.

Highlighting Key Insights: The book's emphasis on crafting a clear narrative can help product groups highlight key insights from customer data. By focusing on the most important findings and presenting them in a compelling way, product groups can better communicate the impact of bad customer experiences and the need for improvements.

Making Data Actionable: Duarte's framework for storytelling helps in making complex data understandable and actionable. Product groups can use this approach to present data on customer cloud experiences in a way that drives action and inspires changes to improve the customer experience.

Visual Storytelling: The effective use of visuals, as outlined in the book, can help product groups present data on customer experiences in a more engaging and impactful way. Visuals can make it easier to identify trends, patterns, and areas that need attention, thereby facilitating better decision-making.

Using "Data Story" principles, product groups can better understand and communicate customer cloud experiences, especially negative ones. This helps make informed decisions to improve customer satisfaction. This is now what I consider the official handbook for technical product customer experience.

And finally, there are free downloadable goodies and resources freely available from the author website.

Originally published at: https://executingorder66.wordpress.co...

[Fred Cheyunski · Rating 4 out of 5]

Dealing with the Info Overload Brambles - Having read a few other Duarte books (see my reviews of “Persuasive Business Presentations” and “Illuminate”) and preparing for an upcoming data related presentation, I wanted to get some tips in this regard. In her typical fashion, the author does provide some useful frameworks and suggestions, however, the book seems to be a very quick read which has its own benefits and limitations. As one might put it, Duarte wades into vast data forest, deals with many info overload brambles and thorny decision issues, and emerges with a tale and key lessons to help others of us who are facing similar journeys and challenges.

More specifically, the book consists of an Introduction, 4 Major Sections with 11 Chapters: I. Communicate Data to Others: (1) Becoming a Communicator of Data, and (2) Communicating Data to Decision-makers; II. Bring Clarity Through Story Structure: (3) Crafting a Data Point of View, (4) Creating Action through Analytical Structure, (5) Structuring an Executive Summary as a DataStory; III. Make Clear Charts and Slides: (6) Choosing Charts and Writing Observations, (7) Annotating Insights onto Charts, and (8) Building a Skimmable Slidedoc; then IV. Make Data Stick: (9) Marveling at the Magnitude, (10) Humanizing Data, and (11) Storytelling with Data. At the end there is a Summary.

My favorite aspect of the books is its overall message and its three-part framework. As Duarte states early on that “By transforming your data into vivid scenes and structuring your delivery in the shape of a story, you will make your audience care about what your data says.” She goes on to indicate that “A significant skill threshold stands between exploring, explaining, and inspiring with data.” To address these skill needs she suggests a “DataStory structure . . . [that] follows the three-act structure . . . [a] first act . . . [with the] problem to solve or an opportunity to pursue . . . [a] second act . . . [with the] conflict and complication . . . measurable symptoms . . . messy statistic that needs to change . . . [and a] third act [that] describes how the story would end if people took action to change it.”

To my edification, the three areas seem to correspond with the branches of classical learning such described in Sr. Miriam Joseph’s “The Trivium” (see my review). I took heart from the way Duarte seems to be advocating such an integrated approach.

On the one hand, there are the many nuggets of sage advice and practical tips along the way. For instance, she counsels “Due to the subjective nature of assumptions, it’s crucial to be transparent about all of those you’ve made.” She also indicates “Addressing potential counterarguments may be the most persuasive part of your recommendation.” Pointers such use of observation statements/headlines to frame charts, examples of particular layouts or arrangements of information to consider, as well as delivery hints like revealing one aspect of a bar chart at a time are helpful. I also was pleased to see her allusion to Vonnegut and the Guttenberg Project related to storylines (see my reviews of Archer & Jockers “Best Seller Code”)

On the other hand, the book itself seems to read like the “pyramid structure” with one slide per thought that Duarte describes and it is over before you know it. It seems that it would have been useful to have more detail in a number of respects. For instance, there could been further reference to business intelligence tools and their use (see my review of Davenport’s “Keeping Up with the Quants”) as well as more attention to presentation difficulties such as dealing with data method questioners and so on. Also, the Kindle version suffers without the use of color and the charts and tables are small and difficult to read.

Despite these challenges and the shortcoming of the book/e-book format, Duarte has provide another useful guide.

[Geno · Rating 5 out of 5]

As a presentation designer, I am always looking for thoughts, ideas and case studies… Nancy Duarte is a thought leader in this space, and DataStory is my second book I read by her after Slide:ology

While Slide:ology focuses more on visual design and slide principles, DataStory goes in a different direction.

Disclaimer: This book is not really about data, charts, or dashboards. It is mainly about how to communicate to help in decision making

The core message is that data alone does not move people. Decisions happen when data is framed as a clear point of view and communicated with intention.

Concepts like the DataPOV, the three act data story, and the recommendation tree all serve one purpose: helping decision makers act

It is also important to say that the book is very focused on executives.

Most of the examples, language, and frameworks are built around presenting data to senior leaders.


This makes sense, because executives are the ones approving actions and setting direction.

Even though many ideas in the book can be applied to other contexts, the scope is clearly narrowed to executive decision making.

To be honest, I got a bit lost while reading the book.

Not because the ideas are weak. The ideas are strong. But the organization of the content could have been clearer.

Several frameworks overlap, and sometimes it is not obvious how they relate to each other or when to use which one.

I often found myself asking whether something belonged to structure, storytelling, emotion, or delivery.

This is exactly why I ended up creating a detailed mind map after finishing the book. I needed a way to reorganize the ideas, see the big picture, and understand how everything fits together. Once I did that, the value of the book became much clearer.

So this is not a book you read quickly and move on from.

It is a book you wrestle with. You pause, reread, connect ideas, and build your own system on top of it.

[Gina · Rating 2 out of 5]

2.5 - 3 stars
This is not the sort of book that I would read voluntarily. I read this book as a 2022 goals assignment from my manager:

Increase skillsets and business knowledge through ongoing professional development and apply learnings to performance - 25%
Professional Development opportunities include, but are not limited to: -Continue to build business, industry, and data knowledge -Data Storytelling

While data analysts are the intended audience, the information is applicable to anyone who needs to communication data -- or any information!

The information I gathered from the book will serve me in my role as a communications analyst (de-emphasis on "analyst" - LOL!). II. Communicating to Decision-Makers is an extremely useful section for anyone who needs to communicate anything (not just data) and tailor the message to your audience -- be it executives or peers.

I had a little giggle when the author included a quote from herself in the Introduction. It seemed a bit odd to me. Frankly, this is the sort of book that one can skim and then pull off the shelf to consult when needed. For being a book about designing meaningful and interesting stories from data, this book was difficult for me to read due to several design choices! Oh, how ironic. This is one of those overdesigned books with grayed text in a teeny font size juxtaposed with three pages of color -- one of which is engulfed in enormous text!

[Debajyoti Adhikari · Rating 4 out of 5]

So I read 'DataStory' by Nancy Duarte. It's not a page-turner but more of how you can charm audiences and executives with your presentations and SlideDocs.

The 📖 starts off as a guide to using adverbs, adjectives and verbs to amplify data content. Some chapters delve into the demands of your bosses and the common folk. Particularly useful was the concept of SlideDoc and the emphasis on the 1-Pager (the later was taught to me years before this came out).

'DataStory' fails the plag-check as it does not acknowledge McKinsey's SCQA (Ms. Pinto) methodology while mentioning how we can formulate a three-act Executive Summary using Situation-Complication-Resolution. Same old, same old 😑

But most other bits are helpful. Particularly the sections where the author provides ideas of how to describe those boring corporate charts. That is something that was tested in the IELTS exam and which I wanted to improve for the sake of delivering livelier presentations 🙂

[Margo · Rating 4 out of 5]

Nancy Duarte's book on DataStory was recommended to me during an online network meeting. This book is about storytelling and data, sounds good to me!

Nancy Duarte guides you through her book in a very strong way. You can feel at everything that she has carefully prepared each page, proven from her studies as how it's most pleasantly read.
Simple visuals are used, so that it is easy to follow for beginners. It's mainly about how you ensure that the data is communicated correctly, that your audience remembers which message you give them and, above all, what action is needed.
The techniques she explains (including the what, why, how structure) are not new, but it is well explained with examples of presentations and words that you can best use per situation.

I found it an interesting book. Very clear, easy to follow, fun and I think it's nice to have at the office. It is highly recommended for people who give a lot of presentations. It will certainly help you with your storytelling skills.

[Alberto de Vega Luna · Rating 3 out of 5]

There are several things I’ve already read in other books about storytelling, such as the three act structure or the six story types. There are other things I’ve already read in other books about presenting, such as mapping figures to data already known by your audience. But there other things that were new to me such as the things that move the C-level people or how to structure your recommendation. That was the part of the book which will be more useful for me.

So even if there are already known information in this book, it can help you to achieve your goals of convincing executives to do something. If that’s your goal, you will enjoy this book. If you are looking for a book about presenting data in an intuitive way for your audience, there may be other books more focused on that topic.

[Bedarshi Saha · Rating 5 out of 5]

Very well presented!

It's a fantastic resource for those who works in sales, marketing, business development, and brand management/ consulting profiles. Presentation is one of the things that's been evolving, more and more companies are making their decisions based on data analytics. In these times, some one who is able to marry data analysis to storytelling, and produce that into presentations becomes vital for companies. Nancy Duarte does a pretty good job of showing how to make that happen!

While reading the book keep a tab open in your computer for duate.com/datastory, as Nancy makes a lot of references from the site and also shares quite a few free downloadables.

[Rahul Venugopal · Rating 3 out of 5]

A short book which covers data story telling in broad strokes. Books touches upon some good and bad practices widely used. Some examples were like parables and didn't show any actionable plans. Last chapters covered many real world examples which had application value. The example of using a scissor lift to annotate trends, Steve Jobs holding laptop close to his face and many more.

If you are already familier with good data practices and have follow data journalism, you can fast read this book. I liked the list of actionable verbs, nouns, adjectives etc. Would be handy when we have to write bullet style CVs

[Lauren Spence · Rating 3 out of 5]

Read this for BUS 5460 Communicating with Data course as a part of the Baylor University MBA program taught by Professor April Rowsey. I really loved the fresh philosophy this book provides in presenting data, especially to key stakeholders that are busy but require an in-depth view of your division's problems and recommendations. There is so much information in this book that the content feels a bit overwhelming, particularly when I downloaded the recommended SlideDoc templates and there isn't a clear path on how to begin from scratch.

All in all, I wish all business data was presented with the time and care it requires to create a SlideDoc.

[Chris Haley · Rating 4 out of 5]

A comprehensive review of everything it takes to tell a compelling story with data. Very little in here is new or surprising, though Duarte goes into admirable detail on topics such as using effective grammar and considering how your audience measures success. The breadth of content covered makes it likely that almost anyone would find some nugget of wisdom they had not previously considered. Overall, there is a wide range of content and practical advice, thoughtfully packaged, and artfully presented.

[Sophie · Rating 4 out of 5]

This is a book about the skill of data presentation. The two main takeaways are:
1. Attach the Data to Something Relatable
2. Develop a Sense of Scale
Combing the two means that we need to connect data to relatable size, time, and things. Moreover, we can express our feelings about the data by using emotive words, phrases, and sounds that reflect emotion, interjections, either positive or negative, and rhetorical questions to help the audience think about the point we're making. (pp. 153-154)

[Carl Seidman · Rating 4 out of 5]

This is a beautifully designed book. The aesthetics are amazing. However the content wasn't as good as what I'd expected. As a career finance person, the delivery of financial data through story doesn't usually take place the way the author suggests. I gather many of her clients are Silicon Valley-based and not many financial institutions. There's still a lot we can take away from her insights, but I think it misses on relevance for financial services.

[Ibam Ibrahim · Rating 4 out of 5]

Personally, I think this book is excellent for those who are in a field where data play a lot of roles. Not only data analyst but those who are dealing every day with data.

Pros: lots of details, case study, covers lots of ground. Not only tell you how to create a story but also understand how the decision is made upon data

Cons: not many new techniques I learn in this book, but this book surely a go-to-go book when I need to recall the knowledge.

[Meomeo2905 · Rating 4 out of 5]

The book might be a good very good start for ones who is interested in working with data as well as using data to persuade others. This book gives fundamental advices on using/picking charts, creating structures, word phrases in order to persuade stackholders.
For me, the last chapter is the most valuable one, in which the author lists some case studies of how to make the best out of data by using storytelling.

[Bryan Tanner · Rating 4 out of 5]

If you liked Duarte's Slide:ology and you are into quantitative data, you'll love looking through this. It offers a clear explanation of how to tell stories using various of data visualizations. It drives home the point that presenting data is merely a storytelling device; that without story, data is empty. It also notes the pros and cons of each visualization type.

Recommended for anyone who has ever made a presentation with numbers in it.

[Cairo Cananea · Rating 4 out of 5]

Este livro é bem interessante e nos ensina a contarmos histórias a partir de um ponto de vista baseado em dados.

Diferente do Storytelling com Dados, este livro aqui é mais generalista e tem como objetivo ajudar as pessoas a definirem nas suas apresentações a linguagem para estabelecer uma comunicação eficiente.

Dito isso, obtive muitos insights de como construit apresentações que possam transmitir e gerar ações produtivas entre os stakeholders.

[Angela Xu · Rating 2 out of 5]

Purchased the book out on a limb but became very disappointed by the lack of depth. The book has some pretty visualizations - probably could be helpful for those with little business professional experience

[Jonathan Gomez · Rating 4 out of 5]

3.5/5 rounded up.

Pretty good! It covered a lot of the basics of data visualization and telling a story with data, which I hadn't really learned before. The end was more about presenting that it was about visualizing data, which I thought took away from the rest of the book.

[Maciek · Rating 3 out of 5]

Nic odkrywczego, pewnie bardziej dla Analityków.
O tym jak przekazywać twarde dane w przekonujący sposób, budując narrację.
Typowa historia: I. wprowadzenie , II. Zawirowanie, III. Rozwiązanie
"Co? Dlaczego? Jak?"
Stosowanie suspensu w prezentacjach.