量化数据仓库投资回报率的公认方法是什么？
背景： 数据仓库的主要输出是使用仓库做出的业务决策。据推测，一个有价值的仓库可以让企业做出比没有仓库时更有利可图的决策。
上下文： 举例来说，您正试图向自己的公司推销更全面的数据管理和分析策略（即数据仓库）的优点。或者，您是一名 ASP 或顾问，试图向企业推销以构建新系统或扩展其当前系统。您试图向决策者（无论是您的经理还是潜在客户）推销，投资数据仓库以及随之而来的所有分析和报告工具和技能是值得的。
问题： 量化这种增加的盈利能力的公认方法是什么？
Background:
The chief output of a data warehouse is the business decisions that are made using the warehouse. Presumably, a valuable warehouse allows a business to make decisions that are more profitable than it could have made without the warehouse.
Context:
Say, for example, you're trying to pitch your own company on the merits of a more comprehensive data management and analysis strategy, i.e. a data warehouse. Or, you're an ASP or consultant trying to market to businesses to build a new system or expand upon their current system. You're trying to sell decision makers - either your managers or a potential clients' - that it's worth it to invest in a data warehouse and all of the analytical and reporting tools and skillsets that come along with it.
Question:
What are accepted methods of quantifying this increased profitability?
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您必须在蓝图之前的第一阶段定义这些参数......
还有几个问题如下，
谢谢。
You must define these params during the 1st phase prior Blueprinting....
Few more questions are like below,
Thanks.
好问题，这是我遇到过的 BI 解决方案的最大障碍。
BI/DW 的基本重点是行业的 KPI（关键绩效指标）以及对其进行测量/监控/分析如何能够导致更好的管理决策，从而“优化”这些 KPI。 （KPI - 例如周转时间、销售数量等）
可悲的是，在您还没有实施这些之前，您不知道这些 KPI 的平均投资回报率。我们一开始使用的解决方案是在您第一次参与时引用 DW/BI（行业特定）实施的行业报告。希望如果您随后推出产品，DW 工具本身可以通过跟踪这些 KPI 的改进来衡量其随时间的投资回报率。
当您设计 DW 时，请记住这一点，您需要在下次进行这些测量！对于您的下一次销售，没有什么比根据您以前的 DW 实现测量的 ROI 更畅销了:)
ps -
还有其他软销售 - @openingbrace 列出的指针。
Good question, It is the biggest bogeyman for BI solutions I have faced.
The basic focus of BI/DW is on the KPIs (Key Performance Indicators) of an industry and how measuring/monitoring/analysis of the same can lead to better management decisions that 'optimize' these KPIs. (KPIs - eg Turn around Time, number of sales etc etc etc)
Sad part is, till you haven't implemented these, you dont know the average %ROI on these KPIs. The solutions we have used in start is to quote industry reports for DW/BI (the industry specific) implementations when you pitch in for the first time. Hopefully if you then launch your product, the DW tool itself measures its ROI over time by tracking the improvements over these KPIs.
Do keep that in mind when you design the DW, you need to get those measurements for the next time! For your next sale, nothing sells like ROIs measured from your previous DW implementations :)
ps -
There are other soft sells too - the pointers listed by @openingbrace.
好问题@Emre。
对于我们的客户，当我们已经决定进行 DWH 时，我们总是会被要求介入；因此，论证是不必要的，尽管我们有时会被要求在事后检查投资回报率，以证明项目的合理性！
根据@Jai 的评论，即使有一组经过精心选择/设计的 KPI/仪表板，除非存在可以接受/实施 KPI 行动的商业文化，否则很难看到投资回报率。不幸的是，我不确定特定 KPI 是否会有平均投资回报率，因为这太依赖于行业/国家/文化/经济条件。
我们能够展示 DWH 项目投资回报率的最简单方法是程序改进。这主要是围绕报告执行效率。
这是最容易获得的有形 (£) 收益，我们的一些 DWH 项目已完全由报告生成时节省的工资支付。
我也喜欢@OpeningBrace 的列表，但很难从中获得确切的 %ROI 数据。
Good question @Emre.
With our clients, we are always asked to come in when a decision has already been made to proceed with a DWH; so justification is not necessary, though we have been asked to examine ROI after the fact sometimes to justify the project!
Following on from @Jai's comment, even with a set of KPI's/dashboard that is well chosen/designed, unless there is a business culture that can accept/implement actions from KPIs, the ROI will be diffcult to see. Im not sure that there will be average %ROI on specific KPI's unfortunately, as this is too dependent on industry/country/culture/economic conditions.
The easiest way we have been able to show ROI on DWH projects, is procedural improvement. Mostly this is around report execution efficiencies.
This is the easiest tangible (£) benefit to be gained, and a few of our DWH projects have been completely paid for by the wages saved on report generation.
I also like @OpeningBrace's lists, but these will be difficult to get hard %ROI figures from them.