What is the translation of " DESCRIPTIVE ANALYTICS " in Chinese?

• 描述性分析

Examples of using Descriptive analytics in English and their translations into Chinese

First is descriptive analytics.
首先来讲描述性分析.

Descriptive analytics asks the question,'What has happened?'.
描述性分析答案，“发生了什么？”.

Even broader financial statistics fall in the descriptive analytics umbrella.
更广泛的金融统计数据属于描述性分析领域。

Diagnostic and descriptive analytics can be precise.
诊断和描述性分析可以是准确的。

In contrast, almost two-thirds(63 percent) of survey respondents plan to invest in descriptive analytics.
相比之下，近三分之二（63%）的受访者都在计划投资描述性的分析。

Descriptive analytics answer the question,‘What has happened?”?
描述性分析回答，“发生了什么?

Enterprises are now striving to evolve from descriptive analytics to predictive analytics..
企业现在正努力从描述性分析发展到预测分析。

Descriptive analytics describes what has happened over a given period of time.
描述性分析描述了在给定时间段内发生的事情。

Even without knowing it, many organizations use descriptive analytics extensively in their everyday operations.
即使不了解它，许多组织也会在日常操作中广泛使用描述性分析。

Descriptive analytics help users answer the question:“What happened and why?”.
描述分析可帮助用户回答以下问题：“发生了什么事？为什么？”。

The few data scientists these companies have spend most of their time implementing and managing descriptive analytics.
在这些企业中，只有极少数数据科学家开始将大量时间用于实现并管理描述性分析机制。

For most businesses, descriptive analytics form the core of their everyday reporting.
对于大多数企业而言，描述性分析构成了日常报告的核心。

Descriptive analytics enables companies to understand past behaviors and learn how it can influence future outcomes.
描述性分析使公司能够了解过去的行为，并了解它如何影响未来的结果。

When all the facts you need are visible to you, you can use descriptive analytics for making as many decisions as you please.
当所有你需要的事实对你可见时，你可以通过描述性分析做出尽可能多的决定。

After mastering descriptive analytics, companies can explore whether the higher tiers are even necessary for them.
在掌握了描述性分析之后，公司可以探索更高级别是否对他们来说是必要的。

Furthermore a data lake offers a chance to go beyond descriptive analytics, into the exciting realms of predictive and prescriptive analytics..
更重要的是，数据湖泊使分析师能够超越描述性分析，进入令人兴奋且高度回报的预测性或规范性分析领域。

Descriptive analytics show baselines, such as how many people visit a page, click on a button, or watch a video.
描述性分析可以给出这样的基本数据，比如有多少人访问了一个网页，多少人点击了这个按钮，或有多少人观看了视频。

Figure 4 shows that the use of descriptive analytics is only correlated with improvements in customer service.
在图四中显示了描述性分析的使用至于客户服务的改进相关。

While descriptive analytics lets us know what happened in the past, predictive analytics focuses on what will happen next.
描述性分析使我们能够知道过去发生了什么，而预测性分析专注于接下来将发生什么。

One straightforward example of how descriptive analytics are used in operations revolves around annual revenue reports.
在运营中如何使用描述性分析的一个直接示例围绕年度收入报告。

Descriptive analytics can be used to explain how a company ways to make easy money fast operates, and to describe different aspects of the business.
描述性分析能用来解释企业如何运作，描述业务的不同方面。

Generally, descriptive analytics concentrate on historical data, providing the context that is vital for understanding information and numbers.
通常，描述性分析专注于历史数据，提供对理解信息和数字至关重要的上下文。

Descriptive analytics are the most common type of analysis, and will reveal past performance for sales, production, shipping, or other operations.
描述性分析是最常见的分析类型，揭示销售、生产、运输或其他操作的历史情况。

Descriptive analytics summarizes data, focusing less on the precise details of every piece of data, and instead focusing on an overall narrative.
描述性分析总结了数据，更少地关注每个数据的精确细节，而不是专注于整体叙事。

Descriptive analytics can be useful in the sales cycle, for example, to categorize customers by their likely product preferences and sales cycle.
描述性分析在销售分析中非常有用，例如，根据客户可能的产品偏好和销售周期对客户进行分类。

These are descriptive analytics(defines what has happened), predictive analytics(tells what can happen), and prescriptive analytics(advises what can be done).
这些是描述性分析(定义发生了什么)、预测性分析(告诉可能发生什么)和说明性分析(建议可以做什么)。

Essentially, descriptive analytics seeks answers about what happened, without performing the more complex analyses required in diagnostics and predictive models.
从本质上讲，描述性分析可以在不执行诊断和预测模型所需的更复杂分析的情况下寻找所发生事件的答案。