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数据驱动力:企业数据分析实战
book

数据驱动力:企业数据分析实战

by Carl Anderson
April 2021
Intermediate to advanced
210 pages
6h 3m
Chinese
Posts & Telecom Press
Content preview from 数据驱动力:企业数据分析实战
数据驱动型的首席高管
155
括打破壁垒)来使数据大众化
9
。简而言之,他们应该提升组织整体的数据访问权限和数据
使用水平。这是一个广泛而又颇具挑战性的角色。
11.1.2
 成功的秘密
实质上,首席数据官担任着布道者和变革推动者的角色。正如
The Case for the Chief Data
Ocer
的合著者
Peter
Aiken
所说:“如果事情进展顺利,是不需要首席数据官的。”那么,
成功需要什么要素?硬技术和软技术的组合自然是关键。比如,当我问
Mario
Faria
“如何
成为优秀的首席数据官”时,他说:“要有能力将硬技术(数据、技术和统计学的专业知
识,纵向知识、商业头脑)和软技术(交流、领导能力、尊重反对意见、愿意改变现状)
相结合。”在对数据领导者进行的一项更广泛的抽样调查中,
Aiken
10
发现了首席数据官的
3
大特质:
兼具专业技术、商业知识和沟通技能;
杰出的人际关系构建能力和交流技巧;
对政治敏感。
显然,首席数据官不仅仅是一个技术型角色。
1.
首席数据官向谁汇报
首席数据官向谁汇报?在理想情况下,他们会与首席技术官、首席信息官、首席财务官、
首席运营官、首席信息安全官等高管同级别,向首席执行官汇报。若非如此,他们至少也
该向经营方(首席运营官、市场总监等)汇报。然而现实是,
80%
的首席数据官向首席技
术官汇报(根据
Aiken
等人
2013
年的调查)
11
IT
部门汇报有什么问题呢
Aiken
强烈表示:“首席数据官无法在受制于
IT
部门的结构
化限期的同时利用数据。此外,如果他们要向不太懂数据的人汇报 ...
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Publisher Resources

ISBN: 9787115560179