GLAZE 发表于 2025-3-21 18:04:56

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nautical 发表于 2025-3-21 21:51:46

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tenosynovitis 发表于 2025-3-22 02:59:29

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王得到 发表于 2025-3-22 05:57:55

https://doi.org/10.1007/978-1-4471-0263-2t importance, data and analytics team also needs to continuously improve their operational efficiency, so that they can deliver value in a consistent and efficient manner. For this, they need to focus on four key areas—(a) people performance, (b) process effectiveness, (c) technology capability, and (d) data maturity.

外来 发表于 2025-3-22 10:56:29

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思想灵活 发表于 2025-3-22 13:25:40

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思想灵活 发表于 2025-3-22 18:49:40

https://doi.org/10.1007/978-3-642-74244-6an enterprise. Each of these models have their pros and cons, which must be weighed carefully before choosing the best-suited one. Having chosen the optimum model, the next step is to define data and analytics organization structure and processes that are agile, business friendly, and would deliver high business value to the enterprise.

Coeval 发表于 2025-3-23 00:51:20

https://doi.org/10.1007/978-1-4471-0263-2using only on the hard skills. If the leader does not possess all the required soft skills, data and analytics adoption and maturity in an enterprise may remain low, despite investing large amount of time and money.

军火 发表于 2025-3-23 01:47:02

,First Element of Strategy—Business Capabilities,nalytics strategy, starting with “enterprise churning” or “samudra manthan” and culminating into creating an integrated roadmap to implement the strategy. While laying down the roadmap, inter alia, it is important to understand the typical nature of data and analytics maturity evolution within an enterprise.

不感兴趣 发表于 2025-3-23 06:05:54

,Second Element of Strategy—Technology and Architecture,usiness units, functions, regions, and levels within the enterprise. This would help in identifying various architectural options, choosing the best-suited option, and selecting the tools and technologies that would work best for the chosen architectural option.
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