组织使用数据识别问题或机会，领导者依赖数据做出决策。对于当今的领导者而言，必须掌握的基本技能是能够将数据整理成包含明确建议并激励其他人采取行动的故事。作者和她的团队搜集了在技术、金融、医疗保健和消费产品领域的客户的数千张数据幻灯片，以解码如何进行数据沟通。本书将数据转换为结合了语言、数字和图形功能的叙述，以在组织内部和外部都产生结果的方式来交流数据，帮助组织更快地做出决策，并激发人们采取行动。
南希·杜阿尔特（Nancy Duarte），著名沟通专家，《哈佛商业评论》撰稿人。作为沟通专家，南希破解了将故事模式有效地整合到业务沟通中的代码。她曾在多家《财富》 500强公司及多次会议上发表演讲。她的TEDx演讲视频点击率超过200万次。她创办的公司Duarte Inc.在商业和文化领域颇具影响力，是视觉呈现方面的全球领导者。
王菲菲，英语爱好者，翻译多本书籍，翻译书籍主要集中于经济管理、领导力、人力资源、视觉呈现、组织发展等领域。
目? 录
引? 言
了解故事背后的科学原理 ····························································2
将数据转变为故事 ·····································································4
沟通数据来进行领导 ··································································6
在提升沟通能力上投入时间 ·························································8
拥抱故事的力量 ·····································································.10
第 1 部分? 沟通数据
01 成为数据的沟通者
对提升数据沟通能力进行投资 ···················································.16
通过讲故事来阐释数据 ····························································.18
成为故事中导师一样的人 ·························································.20
用数据解决问题并发现机遇 ······················································.22
进入创造性思维模式 ·······························································.24
培养你的直觉 ········································································.26
02 与决策者沟通数据
了解你的决策者 ·····································································.30
高管太忙，请尊重他们的时间 ···················································.32
了解高管的关注点 ··································································.34
了解高管偏好的沟通方式 ·························································.36
针对提问和打断做好准备 ·························································.38
第 2 部分? 厘清故事结构
03 构建数据观点
构建你的数据观点 ··································································.44
了解大品牌如何使用数据进行沟通 ·············································.46
为数据观点选择最有效的动词 ···················································.48
破译绩效动词和过程动词 ·························································.50
用最佳战略视野打造行动计划 ···················································.52
04 将执行摘要构建成一个数据故事
利用故事的三幕式结构 ····························································.56
用三幕式结构写一份执行摘要 ···················································.58
在艰辛历程中寻求改变 ····························································.60
将数据观点作为第三幕 ····························································.62
05 通过结构性分析来制订行动计划
将议论文写作与说服性写作融为一体 ··········································.66
绘制树状结构图 ·····································································.68
定义行动来支持数据故事 ·························································.70
让解释原因成为提供建议的动力 ················································.72
扮演自己观点的怀疑者和反对者 ················································.74
在建议中包含假设“如果……那么这是真的”································.76
回顾树状结构图的组成部分 ······················································.78
第 3 部分? 清晰展示图表和幻灯片
06 选择图表，撰写论述
选择每个人都可以看懂的图表 ···················································.84
将图表标题写清楚 ··································································.86
撰写描述性论述 ·····································································.88
用形容词来论述条形图 ····························································.90
用形容词来论述圆环图 ····························································.92
用动词来论述折线图 ·······························································.94
07 将注解添加到图表上
将注解视图添加到图表上 ·························································.98
放大数据点 ···········································································100
在数据点中添加数学操作 ·························································102
让见解显而易见 ·····································································104
08 创建可供浏览的幻灯片集
将建议书打造成幻灯片集 ·························································108
将幻灯片集看作一本视觉书 ······················································110
编排内容时增强可读性 ····························································112
用非标准格式来强调内容 ·························································114
强调必读的文字 ·····································································116
对树状结构图的回顾分析 ·························································118
将幻灯片集视作一份树状结构图 ················································120
第 4 部分? 让数据令人难忘
09 将数据与人们熟悉的事物进行对比
将数据与人们熟悉的事物相联系 ················································126
促使人们更直观地感知数据 ······················································128
将数据与易于理解的尺寸联系在一起 ··········································130
将数据与易于理解的时间联系在一起 ··········································132
将数据与易于理解的物体相比较 ················································134
表达你对数据的感受 ·······························································136
10 将数据拟人化
数据故事中的英雄和反派 ·························································140
了解数据故事中的冲突 ····························································142
解决数据中的冲突 ··································································144
与角色对话 ···········································································146
分享情境，为数据增添意义 ······················································148
用数据拯救生命 ·····································································150
11 数据故事
利用时间纬度来呈现数据 ·························································158
揭示隐藏的数据 ·····································································160
用一条情感弧线来讲述故事 ······················································166
用数据来证实故事的情感弧线 ·················································.170
按灰姑娘式弧线来反转结局 ····················································.174
用数据讲述有关“水”的慈善故事 ···········································.176
附? 录
推进叙述 ············································································.185
运用一页树状结构图来加速决策 ··············································.187
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