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一本书读懂大数据

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1.互联网+时代,你不得不了解大数据。

2.创业维艰,从0到1, 让数据帮你寻找新思路,开拓新市场。

3.特别适合尝试创业,经营企业的人参考使用。

4.轻松阅读,节省时间。这本书采用彩色图解形式,语言通俗易懂,每一章前面都设置导读部分,3分钟就可以知晓章节内容主题。另外书中有大量与我们息息相关的案例,这本书运用的明亮色彩和有趣的图画,可以有效缓解阅读疲劳。

5.下单就打折、评论就能赚积分。一句话,就能轻松赚取千位数积分。

6.更多附赠。关注编辑的微信号,会为你推荐更多精彩内容,你也可以随时发信联系。

7.扫描二维码,回复06就可以免费下载图书精要ppt,可以用手机随时阅读。

8.强烈推荐同系列《人人都要懂的互联网思维》、《人人都要懂的金融投资理财》 、《一本书读懂互联网支付》、《一本书读懂微信营销新玩法》
Content Description

《一本书读懂大数据》首先介绍了大数据时代的特征,可以帮助你对大数据及其价值有一个概括性的了解和认识。其次,你将知道如何培养、挖掘、处理数据,使数据为自己创造更大价值。最后,介绍了大数据在企业决策、运营管理、金融投资等方面的实际应用。内容简单实用,特别适合初级读者阅读。
Author Description

马兆林
国家高级企业培训师
美国认证协会(ACI)注册国际培训师

曾任安邦金融集团网络信息中心高管,现为大数据产业联盟理事、互联网金融产业联盟理事等。
Catalogue

第1章 大数据时代:不可逆转的大趋势

全面认识大数据 / 10
大数据的价值有哪些 / 14
大数据经历过的三个时代 / 19
大数据的思维变革时代 / 21
大数据的商业变革时代 / 26
大数据的管理变革时代 / 30
移动互联网时代的核心就是大数据 / 33
全球商业变革的根源就是大数据的竞争 / 36

第2章 大数据带来大转型:大数据时代要变的不是商业,而是思维

不拥抱大数据,传统大公司就会被淘汰 / 40
不讲信用,在大数据时代将寸步难行 / 43
数据是消费者生活轨迹的真实体现 / 47
一切可数据化的都将被数据化 / 50
用数据引导产品设计及营销活动,而不是拍脑袋决定 / 56
在大数据面前,企业巨头和小企业是平等的 / 59

第3章 大数据项目10大误区

误区1:大机构才有资格拥有大数据 / 64
误区2:要想做大商业就必须拥有大数据 / 67
误区3:没有大数据就无法大营销 / 72
误区4:盲目跟风 / 75
误区5:思路不懂得变通 / 78
误区6:想要获得所有数据 / 81
误区7:过度夸大数据成果 / 84
误区8:把大数据当“门面” / 87
误区9:不总结他人的经验 / 90
误区10:有了大数据就可以确保万无一失 / 94

第4章 企业不仅要会用数据,还要会养数据

变化的数据才是有价值的大数据 / 98
识别,让似是而非的行为数据串联起来 / 101
根据数据指标,动态地使用数据 / 105
数据挖掘的主要方法 / 107
把数据放进“框”之中 / 112
如何用框架来做决策 / 115
大数据大多来源于平时的小积累 / 118
存、管、用,养数据的三板斧 / 120

第5章 大数据是企业做决策和运营管理的制胜武器

没有数据,企业就难以生存 / 126
运用大数据让企业直接命中客户需求点 / 129
小企业如何玩转大数据 / 132
数据大小不重要,能创造价值就是好数据 / 136
根据数据指南制定产品定位和营销决策 / 140

第6章 大数据时代中的金融革命

没有大数据,就没有阿里小贷 / 144
京东供应链金融的根基是大数据 / 148
传统银行打响数据争夺战 / 151
大数据金融行业的巨无霸——浪潮集团 / 156
勇立潮头的“九次方”企业 / 158

第7章 大数据在各行各业的实战应用

大数据帮助《纸牌屋》问鼎收视冠军 / 164
万科地产的大数据革命 / 167
三只松鼠凭什么成就全网销量第一的奇迹 / 170
天使投资人凭什么做出关键决断 / 174
海尔公司积极打造海立方 / 177
飞利浦的大数据营销策略 / 180
沃尔玛如何用数据构建管理模式 / 182
小米的成功源于对“米粉”需求的数据挖掘 / 185
农夫山泉用大数据卖矿泉水 / 189
Everstring:如何用大数据找到你的目标用户 / 192

第8章 把握大数据的下一轮发展机遇

专家将会消亡,数据科学家将会崛起 / 196
大数据让在线教育变为现实 / 199
大数据将会掀起医疗行业的变革 / 202
城市建设进入智能规划新时代 / 205
大数据是开启“智慧旅游”之门的钥匙 / 209
谷歌无人驾驶汽车的美好未来 / 212
生物领域将会成为大数据的下一个蓝海地带 / 216
Book Abstract

事实上,情况并非如此。
对于一些小型团体、小型机构而言,他们虽然有自己的大数据进行管理或者整合,但是他们也有体现自身价值的重要据。这些数据可能包括:成员名单、会员费用、活动费用、社交媒体分数量、项目成果、捐款数目等。对于这些小型团体而言,他们的挑战不数据收集,而是数据管理,可能不同的数据管理者管理着不同类别的数,这样,能否识别数据会不会带来巨大价值就是数据管理的一大挑战。解决这种困难的最好办法就是,需要对目标人群的行为、态度高度关注,并对这些行为、态度的数据进行收集、分析和整理,并由此加强相关度,这样就可以加强、修正甚至创造出新的项目和服务,达成组织目标,使沟通变得更加高效。由此可见,小型团体、小型机构、小型组织、小型俱乐部等也有资格拥有大数据。
球队在比赛时,每位运动员奔跑的距离并不能用肉眼观察来测得。但是通过对以前比赛的相关数据记录,并配合使用大数据的计算方式,就可以轻而易举地做到这一点,并且让每一位球员变得更加强大,让球队变得更加强大。实际上,NBA已经通过大数据的应用带来了一场巨大的体育技术革命。NBA联盟在比赛场馆安装了运动追踪系统,通过英特尔技术对这些数据进行分析,包括球员在赛场上不同区域的命中率、球员的能量区域效率。根据这些数据,教练可以在比赛前对球员布局做很好的调整,从而提高命中率。现在越来越多的体育俱乐部开始应用该运动追踪系统,从而有效地选择球员,该系统已经成为球队夺冠体系的重要组成部分。
有效数据的资源不仅仅服务于一个机构,一个团体、一个部门都具有拥有大数据的资格。越来越多的团体、组织结合内部和外部数据激发自身新的价值和内在潜力。
大数据目前是一个非常火爆的话题,基于大数据具有非常巨大的商业价值,目睹许多大企业借助大数据的发展浪潮收获了巨大的效益,很多小企业也开始跟风,认为
大数据是人们目前广泛使用的一种发展商业的手段,企业通过对其收集、分析、整合,使得电子商务更具个性化,最终使企业能够更有效率地做出更加英明的决策。
对于一些缺乏资金和资源的小公司而言,他们没有多大的实力去投资昂贵的设备和平台,面对这种情况,他们只能利用自己手头掌握的“小数据”,尽管“小数据”看似没有“大数据”那么海量。
小数据其实就是个体数据,是每个个体的数字化信息,但是这并不意味着它是没有意义的数据。对于那些正要发展成为大商业的小企业来说,它可能会对业务的影响更大,因为目前超过90%的零售活动都是在线下的小企业中进行的。小数据虽然拥有有限的数据流,但是它依然具有样本价值,只是这个样本范围较大数据小了些,如果小企业能够全面提高自己挖掘和分析数据的能力,那么通过小数据也同样能够获知某个群体的市场、购买、偏好和体验等。
……

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