作者 |
Nancy Duarte(南希·杜阿尔特) |
丛书名 |
出版社 |
电子工业出版社 |
ISBN |
9787121409417 |
简要 |
简介 |
内容简介书籍经济管理学书籍 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。 |
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 |