数据产品经理宝典：大数据时代如何创造卓越产品
| 作者 |
| 李阳 |
| 丛书名 |
| 出版社 |
| 电子工业出版社 |
| ISBN |
| 9787121386275 |
| 简要 |
| 简介 |
| 内容简介书籍计算机书籍 “数据”两个字越来越频繁地出现在大家的工作中。一方面，“用数据说话”成为每个互联网从业者必备的“生存技能”；另一方面，一个名为“数据产品经理”的职位成为各大互联网企业的“热招职位”。那么，作为数据产品经理，有了数据应该怎样“用数据说话”？又应该如何让自己具备独特的竞争优势呢？本书内容涵盖了数据产品经理应该知道和掌握的基础知识——从每个优秀的数据产品经理都应当关注的“效率”问题出发，分别从商业知识和技术知识两个角度，针对什么是数据产品、数据产品诉求的产生和类型、数据产品的实现思路与常见技术方案等关键问题进行讲解。本书既是学习指南，又是速查手册，适合具备不同工作背景并正在从事数据产品经理工作的人士阅读，也适合对这一领域感兴趣并希望从事数据产品经理工作的人士阅读。只要你具备求知的热情，本书将为你提供解决问题的思路、方法和工具。 |
| 目录 |
第一篇 理解数据产品：确实有些不一样 第1 章 什么是数据产品 ·······································································.2 1.1 数据产品的关注点 ·······························································.3 1.2 什么是数据应用 ··································································.5 1.2.1 数据处理的角度 ··························································.5 1.2.2 数据展现形式的角度 ····················································.7 1.2.3 应用目的的角度 ··························································.9 1.3 什么是效率问题 ································································.12 1.3.1 成本投入项 ······························································.12 1.3.2 价值产出项 ······························································.14 1.3.3 效率的问题 ······························································.15 1.4 本章小结 ·········································································.17 第2 章 数据产品面临的挑战 ································································.18 2.1 为什么要做—师出有名 ····················································.19 2.1.1 支撑数据应用 ···························································.20 2.1.2 “量入为出”的价值管理 ············································.29 2.2 做的是什么—理解业务 ····················································.29 2.2.1 数据的意义 ······························································.30 2.2.2 架起“量化运营”的桥梁 ············································.33 2.3 怎样做到的—理解技术 ····················································.35 2.3.1 理解“究竟能做些什么” ············································.36 2.3.2 思考“怎样做得更高效” ············································.42 2.4 本章小结 ·········································································.45 第二篇 理解业务：“奇怪”的数据需求从哪来 第3 章 业务是什么 ·············································································.48 3.1 业务的目标是什么 ·····························································.50 3.1.1 能力视角 ·································································.50 3.1.2 利润视角 ·································································.52 3.1.3 效能视角 ·································································.52 3.1.4 影响力视角 ······························································.53 3.2 业务的商业模式与“投资”思维 ············································.56 3.2.1 资金投资 ·································································.57 3.2.2 人力投资 ·································································.63 3.2.3 时间投资 ·································································.66 3.2.4 其他投资 ·································································.67 3.3 常用管理模型和营销组合 ····················································.68 3.3.1 常用管理模型及其关系 ···············································.68 3.3.2 常用营销组合及其关系 ···············································.96 3.4 本章小结 ········································································.101 第4 章 业务的数据诉求 ····································································.103 4.1 用户市场研究 ··································································.104 4.1.1 需求分析的目的 ·······················································.105 4.1.2 需求的分层 ·····························································.108 4.1.3 需求的定位 ·····························································.116 4.1.4 需求分析的评价与KANO 模型 ····································.127 4.1.5 需求的传播和贯彻 ····················································.129 4.2 业务及产品形态研究 ·························································.130 4.2.1 评价标准—怎样才是“好” ·····································.131 4.2.2 业务转化与价值归因 ·················································.144 4.2.3 流量管理与实验框架 ·················································.153 4.3 综合能力升级 ··································································.159 4.3.1 分析方法论及其优化 ·················································.160 4.3.2 固化应用系统与赋能业务 ···········································.171 4.3.3 赋能团队合作 ··························································.174 4.4 工具、模型与业务、产品的“日常” ·····································.176 4.5 本章小结 ········································································.179 第5 章 用数据抽象业务 ·························· |
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