[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$VPb55unkt5":3},{"id":4,"authorId":5,"author":6,"title":7,"status":8,"failedReason":9,"offlineReason":9,"type":10,"picture":11,"submitTime":12,"publishTime":13,"seoTitle":14,"seoKeywords":15,"seoDescription":16,"seoKeywordsList":9,"workOrderNo":17,"source":8,"moreInfo":18,"sourceName":19,"reviewer":20,"description":21,"content":22,"showPv":23,"pv":24,"great":25,"collection":25,"comment":25,"remark":9,"topicIdList":9,"firstTagIdList":9,"secondTagIdList":9,"tagNameList":9,"isGreat":26,"isCollection":26,"orgAccountInfoBO":27,"topicList":40,"firstTagList":47,"secondTagList":48,"lockUser":9,"articleModeType":9,"originContent":9,"aiRewriteContent":9,"commentCount":9},"116673041","50519","弘毅供应链","好书推荐《供应链高管都是数据控：COO手把手教你做数据分析与运营》",2,null,1,"https:\u002F\u002Fcdn.10100.com\u002Fcontent\u002F20260315\u002F08f55386-e1b8-43bc-b085-ba99545a666d.png","2026-03-15 12:55:00","2026-03-14 21:23:18","好书推荐《供应链高管都是数据控：COO手把手教你做数据分析与运营》- 大数跨境","","1. 为什么写这本书？ 2022年初，我的首部著作《供应链管理从入门到精通》出版后广受读者认可，在京","11202603151255000587","{\"url\": \"https:\u002F\u002Fmp.weixin.qq.com\u002Fs\u002Fzn0Y3ecsDmfZwOlmumvhAg\", \"author\": \"卓弘毅\", \"publishTime\": \"2026-03-14 21:23:18\"}","【弘毅供应链】公众号，原文《好书推荐《供应链高管都是数据控：COO手把手教你做数据分析与运营》》，大数AI优化","system","数据分析与运营","\u003Csection>\n \u003Cimg src=\"https:\u002F\u002Fcdn.10100.com\u002Fcontent\u002F20260315\u002F0798e24e-c0fb-46f6-b6c0-30dce0c4d45b.png?x-oss-process=style\u002Fwmlogo\" loading=\"lazy\" >\n\u003C\u002Fsection>\n\u003Ch2>1. 为什么写这本书？\u003C\u002Fh2>\n\u003Cp>2022年初，我的首部著作《供应链管理从入门到精通》出版后广受读者认可，在\u003Ca href=\"https:\u002F\u002Fwww.10100.com\u002Fu\u002F29269\">京东\u003C\u002Fa>、当当等平台稳居同类图书销量前十。\u003C\u002Fp>\n\u003Cp>基于市场反馈与行业观察，我于2022年中启动新书策划。经与出版社多次研讨，确定以“数据分析驱动供应链运营”为切入点——这一视角在国内供应链类图书中尚属前沿。\u003C\u002Fp>\n\u003Cp>实践中发现，不少从业者存在数据分析能力短板：或因成长路径差异缺乏数据敏感度；或习惯经验式操作，面对环境变化难以应对突发任务，导致库存失控、运费攀升、KPI难以达成。\u003C\u002Fp>\n\u003Cp>本书旨在系统讲解供应链运营逻辑、关键数据关联及基础统计概率知识。虽涉及公式，但并非数学教材，所有内容均经大幅简化，兼顾专业性与可读性。\u003C\u002Fp>\n\u003Cp>历经一年余撰写与多轮校验，本书终将面世。感谢出版社编辑团队对大量计算与数据的严谨复核。\u003C\u002Fp>\n\u003Ch2>2. 本书主要内容\u003C\u002Fh2>\n\u003Cp>全书以“数据赋能供应链”为核心，聚焦企业最关切的两大资金相关环节：库存与运输——前者关乎回款效率，后者直接影响成本结构。\u003C\u002Fp>\n\u003Cp>内容体系涵盖五大维度：数据分析、模型构建、运营逻辑、算法原理与需求预测，共形成10个模块。其中，数据分析与供应链运营占比最高，模型与预测次之，算法部分精炼呈现。\u003C\u002Fp>\n\u003Csection>\n \u003Cimg src=\"https:\u002F\u002Fcdn.10100.com\u002Fcontent\u002F20260315\u002F52589670-d9e5-420a-80ae-832f7cd7fc1f.png?x-oss-process=style\u002Fwmlogo\" loading=\"lazy\" >\n\u003C\u002Fsection>\n\u003Cp>数据分析是底层支撑，运营实践是顶层落点，模型、预测与算法构成三大支柱。全书始终围绕库存与运输展开，避免空泛论述。\u003C\u002Fp>\n\u003Cp>为提升理解效率，书中嵌入大量真实业务场景，增强代入感；运营部分侧重解释“为何如此做”，揭示决策背后的商业逻辑，使内容兼具理论深度与实操价值。\u003C\u002Fp>\n\u003Ch2>3. 本书为读者带来的价值\u003C\u002Fh2>\n\u003Cp>受限于篇幅，本书精选经典、高频、高实用性的分析方法与模型。在概率统计等难点章节，反复权衡内容深度与学习门槛，力求通俗而不失专业。\u003C\u002Fp>\n\u003Cp>目标明确：帮助读者真正理解数据分析与运营逻辑，并能迁移应用于实际工作。供应链场景千差万别，照搬方案难解真问题；唯有掌握底层原理，方能举一反三、破局创新。\u003C\u002Fp>\n\u003Cp>把道理讲透、让读者看懂、助工作用上——这是本书的核心价值。\u003C\u002Fp>","68","44","0",false,{"id":5,"status":28,"accountNumber":29,"nickName":6,"gender":10,"identity":30,"authenticationStatus":8,"authenticationType":28,"claimStatus":28,"failedReason":9,"freezeReason":9,"phoneNumber":9,"email":9,"picture":31,"description":32,"registerTime":33,"submitTime":33,"area":34,"lastLoginTime":9,"lastLoginIp":9,"lastLoginArea":9,"accountName":9,"wechatNumber":9,"wechatQrcode":9,"wechatOfficialAccountQrcode":9,"fansTotal":35,"followTotal":25,"pvTotal":36,"showPvTotal":37,"createTime":33,"updateTime":38,"deleteFlag":28,"areaName":9,"contentTotal":39,"isFollow":26,"validityPeriodStart":9,"validityPeriodEnd":9,"companyLogo":15,"companyAbbreviation":15,"companyName":9,"accountPoints":9,"level":28,"accountType":10,"regSource":10},0,"wdFEhcuRkDwYCOW8",-1,"user\u002F3acb7921e22d4423b3f194dde05f68c8.jpg","卓弘毅(Mark)的供应链专栏，分享经验，传播供应链管理知识","2025-04-03 18:40:12","310100","1","63342","95280","2026-04-05 06:07:13","2765",[41],{"contentId":4,"id":42,"name":43,"status":28,"type":10,"subType":8,"description":44,"changeTime":45,"pv":46,"firstTagIdList":9,"firstTagList":9},"8","实操手册","跨境行业从0到1运维指南","2022-10-18 13:51:33","5473063",[],[]]