April 2021
Intermediate to advanced
210 pages
6h 3m
Chinese
Content preview from 数据驱动力：企业数据分析实战
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164
第 12章
隐私、道德和风险
有道德的人所做的比他被要求的多，而比被允许的少。
——
Michael Josephson
第
10
章引用了
Patil
和
Mason
所说的
“组织里的每一个人都应能合法地访问到尽可能多的
数据”。虽然我在理论上同意这句话，但在实践中，当从隐私、道德和风险的角度思考这
个问题时，仍需要考虑一些重要的注意事项。在许多情况下，对于谁应该访问哪些数据，
以及他们可以用数据做什么，道德和风险意识的约束往往比法律的约束更强。数据驱动型
文化既要尊重数据的力量，也要尊重数据源——人类。
数据驱动型组织应该如何从以上
3
个角度处理其用户或客户的数据？
这里假设数据驱动型组织拥有以下要素：
•
更多数据；
•
比其他组织更丰富的场景；
•
能将更多非孤岛数据源整合起来；
•
能访问和可视化更多数据；
•
有更多擅长分析的员工；
•
有更多可以摸索出细微模式的数据科学家。
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