required subdivision index

简明释义

规定要求的分舱指数

英英释义

例句

1.The software will automatically adjust the required subdivision index 所需细分指数 based on user input.

该软件将根据用户输入自动调整所需细分指数。

2.In our analysis, the required subdivision index 所需细分指数 is crucial for ensuring data accuracy.

在我们的分析中，所需细分指数对确保数据准确性至关重要。

3.To calculate the area accurately, we need to determine the required subdivision index 所需细分指数 for the land parcel.

为了准确计算面积，我们需要确定土地包块的所需细分指数。

4.Before proceeding, please confirm the required subdivision index 所需细分指数 for each section of the project.

在继续之前，请确认项目每个部分的所需细分指数。

5.The team discussed how to optimize the required subdivision index 所需细分指数 for better performance.

团队讨论了如何优化所需细分指数以提高性能。

作文

In the realm of data management and organization, various terminologies play a crucial role in ensuring clarity and efficiency. One such term is the required subdivision index, which refers to a specific metric or value that indicates how data should be divided into manageable segments or subdivisions. Understanding this concept is essential for professionals who deal with large datasets, as it directly influences how information is categorized and accessed. The required subdivision index serves as a guideline for structuring data in a way that enhances both retrieval and analysis. For instance, in a database containing customer information, the required subdivision index might dictate that data be segmented based on geographical location, purchase history, or demographic factors. This segmentation allows for more targeted marketing strategies and improves customer relationship management. Moreover, the implementation of a required subdivision index can significantly improve the performance of data processing systems. When data is appropriately subdivided, it reduces the load on servers and speeds up query responses. This is particularly important in industries where time is of the essence, such as finance and e-commerce. By utilizing a well-defined required subdivision index, organizations can ensure that their systems run smoothly and efficiently, ultimately leading to better service delivery and customer satisfaction. In addition to enhancing operational efficiency, the required subdivision index also plays a pivotal role in data analysis. Analysts rely on this index to determine how to approach their data investigations. For example, if an analyst is tasked with identifying trends in sales data over the past year, the required subdivision index may guide them to break down the data by month, product category, or sales region. This structured approach enables analysts to uncover insights that may not be apparent when looking at the data as a whole. Furthermore, the required subdivision index is not only applicable in the context of databases but also extends to other fields such as project management and urban planning. In these areas, a similar concept can be used to organize tasks or land use into subdivisions that reflect their importance and urgency. For instance, in project management, the required subdivision index could help prioritize tasks based on deadlines and resource availability, ensuring that projects are completed on time and within budget. In conclusion, grasping the concept of the required subdivision index is vital for anyone involved in data management, analysis, or project coordination. It provides a framework for organizing information systematically, which in turn enhances efficiency, performance, and analytical capabilities. As the world becomes increasingly data-driven, the ability to effectively utilize tools like the required subdivision index will continue to be a valuable asset across various industries. Therefore, investing time in understanding and mastering this concept is not just beneficial but essential for success in today’s digital landscape.

在数据管理和组织的领域中，各种术语在确保清晰度和效率方面发挥着至关重要的作用。其中一个术语是required subdivision index，它指的是一个特定的指标或数值，表示数据应如何划分为可管理的部分或细分。理解这个概念对于处理大型数据集的专业人士至关重要，因为它直接影响信息的分类和访问方式。 required subdivision index作为结构化数据的指导方针，有助于增强检索和分析的效率。例如，在包含客户信息的数据库中，required subdivision index可能会规定数据根据地理位置、购买历史或人口统计因素进行细分。这种细分使得更有针对性的营销策略成为可能，并改善客户关系管理。 此外，实施required subdivision index可以显著提高数据处理系统的性能。当数据适当地细分时，它减少了服务器的负担并加快了查询响应速度。这在时间至关重要的行业（如金融和电子商务）中尤为重要。通过利用明确的required subdivision index，组织可以确保其系统平稳高效地运行，从而最终提高服务交付和客户满意度。 除了增强操作效率外，required subdivision index在数据分析中也发挥着关键作用。分析师依赖于该指标来确定如何进行数据调查。例如，如果一位分析师的任务是识别过去一年销售数据的趋势，required subdivision index可能会指导他们按月、产品类别或销售区域细分数据。这种结构化的方法使分析师能够发现整体数据中可能不明显的洞察。 此外，required subdivision index不仅适用于数据库上下文，还扩展到其他领域，如项目管理和城市规划。在这些领域，类似的概念可以用来将任务或土地使用组织成反映其重要性和紧迫性的细分。例如，在项目管理中，required subdivision index可以帮助根据截止日期和资源可用性优先安排任务，确保项目按时完成并在预算内。 总之，掌握required subdivision index的概念对于任何参与数据管理、分析或项目协调的人来说都是至关重要的。它提供了一个系统地组织信息的框架，从而增强了效率、性能和分析能力。随着世界变得越来越数据驱动，能够有效利用像required subdivision index这样的工具将继续成为各个行业的宝贵资产。因此，投入时间理解和掌握这个概念不仅是有益的，而且是在当今数字环境中取得成功的必要条件。