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很好的一篇文章，Harvard Business Review <<Why Is It So Hard to Become a Data-Driven Company?>>
https://hbr.org/2021/02/why-is-i ... utm_source=linkedin
接下来几周要和业务部门讨论提高业务部门对于有什么数据，对于数据的理解，提高数据的敏感度。只有当业务部门有了一定的数据的理解，才能更好的衔接业务的需要，做出Valuable Insights。然而这也只是中间的过渡，使用Data & Analytics Driven代替传统的Reporting的思维方式，需要建立起新的Data Culture，是非常的难的。这个太宏大的目标，以后再说了。
“What’s at the root of this slow progress? For the fifth consecutive year, executives report that cultural challenges — not technological ones — represent the biggest impediment around data initiatives. In the 2021 survey, 92.2% of mainstream companies report that they continue to struggle with cultural challenges relating to organizational alignment, business processes, change management, communication, people skill sets, and resistance or lack of understanding to enable change. This represents an increase from an already high percentage of 80.9% of firms that named cultural challenges as the greatest impediment to success just four years ago. As management guru Peter Drucker once said, “Culture eats strategy for breakfast.”
One answer is that becoming data-driven takes time, focus, commitment, and persistence. Too many organizations minimize the effort or fail to correctly estimate the time which these kinds of wholesale business transformations require.
Given these findings, Chief Data Officers and corporate data leaders should consider three pragmatic recommendations:
1. Organizations can benefit by focusing their data initiatives on clearly identified high-impact business problems or use cases. By starting where there is a critical business need, executives can demonstrate value quickly through “quick wins” that help a company realize value, build credibility for their investments in data, and use this credibility to identify additional high-impact use cases to build business momentum. We see firms that invest in data capabilities and technology without a clearly defined business demand failing time and time again.
2. Companies must reexamine they ways that they think about data as a business asset of their organizations. Data flows like a river through any organization. It must be managed from capture and production through its consumption and utilization at many points along the way.
3. Data-driven business transformation is a long-term process that requires patience and fortitude. Investments in data governance, data literacy, programs that build awareness of the value and impact of data within an organization, may represent an eventual step in the right direction, but organizations must show that they are in it for the long haul and stick with these investments and not lose patience or abandon efforts when results are not immediately forthcoming. |
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05年的三亚 (2005-12-30) miller2 
楼主:hxsh2000
发表于 2021-2-5 22:56
同意的。。。。我是客服销售方面的，价格设定和长约合约什么也由我们干，所以我们也需要分析产品成本（外购和内造）。。。就是因为咱经常用各种数据“打脸“采购那边。。。。
明里暗里设了不少关卡
