数据产品经理宝典 pdf下载

基本信息（以实物为准）

• 商品名称：数据产品经理宝典(大数据时代如何创造 产品)
• 作者：李阳|责编:林瑞和
• 定价：69
• 出版社：电子工业
• 书号：9787121386275

其他参考信息（以实物为准）

• 出版时间：2020-04-01
• 印刷时间：2020-04-01
• 版次：1
• 印次：1
• 开本：16开
• 包装：平装
• 页数：316
• 字数：378千字

编辑推荐语

数据产品经理是产品经理的一个重要分支，如今也是互联网就业和求职的热点。本书知识体系 加完整，涵盖数据分析思路、数据平台建设、数据仓库、数据治理等重要内容，既适合新人学习和入门使用，又适合从业者作为工具手册，是该领域一本优质图书。

内容提要

“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 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 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。

作者简介

李阳（网名：御豪同学），数据产品经理、PMI-ACP敏捷项目管理师。现任京东数字科技集团 数据产品经理，负责数据平台搭建工作，专注业务逻辑梳理及数据分析，对于大数据分析项目及平台搭建有深入了解。曾担任 GrowingIO 增长大会嘉宾、腾讯大数据沙龙嘉宾。2018年出版图书《产品增长力》。

目录

目录
篇 理解数据产品：确实有些不一样
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 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 ····················································