canned data

简明释义

已存数据

英英释义

例句

1.We often use canned data to quickly generate reports without having to gather new information.

我们经常使用预先准备的数据快速生成报告，而无需收集新信息。

2.Using canned data can save time, but it may not always reflect the most current trends.

使用预先准备的数据可以节省时间，但可能并不总是反映最新趋势。

3.In our analysis, we found that the canned data didn't align with recent customer feedback.

在我们的分析中，我们发现预先准备的数据与最近的客户反馈不一致。

4.The marketing team relied on canned data to create their presentations for the quarterly meeting.

市场团队依赖于预先准备的数据为季度会议制作演示文稿。

5.The software includes features to import canned data from various sources.

该软件包括从各种来源导入预先准备的数据的功能。

作文

In today's fast-paced world, data has become an invaluable asset for businesses and organizations. With the rise of technology, the way we collect and analyze information has evolved significantly. One term that often comes up in discussions about data management is canned data. This phrase refers to pre-packaged or pre-processed data that is readily available for use without requiring further manipulation or analysis. Understanding the implications and applications of canned data is crucial for anyone involved in data-driven decision-making.The concept of canned data can be traced back to the early days of computing when researchers and analysts needed quick access to specific datasets. Instead of spending hours or days gathering raw data and processing it, they could simply rely on canned data that had already been formatted and organized. This not only saved time but also allowed for more efficient analysis and reporting.One of the primary advantages of using canned data is that it provides consistency. When multiple users access the same dataset, they are all working with the same information, which minimizes discrepancies and errors. This is particularly important in fields such as finance, healthcare, and research, where accurate data is critical for making informed decisions.However, while canned data offers many benefits, it also has its drawbacks. One significant concern is that the data may become outdated or irrelevant over time. Organizations must ensure that their canned data is regularly updated to reflect current trends and changes in the market. Failure to do so can lead to misguided decisions based on stale information.Moreover, relying too heavily on canned data can stifle creativity and innovation. When analysts depend solely on pre-packaged information, they may miss out on valuable insights that could be uncovered through original research and exploration of raw data. Therefore, it is essential to strike a balance between utilizing canned data for efficiency and engaging in deeper analysis when necessary.In conclusion, canned data plays a vital role in the modern data landscape. It allows organizations to streamline their operations and make quicker decisions based on readily available information. However, it is crucial to remain aware of its limitations and continuously evaluate the relevance and accuracy of the data being used. By doing so, businesses can harness the power of canned data while still fostering a culture of innovation and thorough analysis. As we move forward in an increasingly data-driven world, understanding the nuances of canned data will be key to leveraging its full potential.

在当今快节奏的世界中，数据已成为企业和组织不可或缺的资产。随着技术的崛起，我们收集和分析信息的方式发生了显著变化。在有关数据管理的讨论中，一个常常出现的术语是预制数据。这个短语指的是已经打包或预处理的数据，可以直接使用，而无需进一步的操作或分析。理解预制数据的含义和应用，对于任何参与数据驱动决策的人来说都是至关重要的。预制数据的概念可以追溯到计算机早期，当时研究人员和分析师需要快速访问特定的数据集。与其花费数小时或数天收集原始数据并进行处理，他们可以简单地依赖于已经格式化和组织好的预制数据。这不仅节省了时间，还允许更高效的分析和报告。使用预制数据的主要优点之一是它提供了一致性。当多个用户访问同一数据集时，他们都在使用相同的信息，从而最小化差异和错误。这在金融、医疗保健和研究等领域尤为重要，因为准确的数据对于做出明智的决策至关重要。然而，尽管预制数据提供了许多好处，但它也有其缺点。其中一个主要问题是数据可能会随着时间的推移而过时或不相关。组织必须确保其预制数据定期更新，以反映当前的趋势和市场变化。如果不这样做，可能会导致基于陈旧信息的错误决策。此外，过于依赖预制数据可能会抑制创造力和创新。当分析师仅仅依赖于预先打包的信息时，他们可能会错过通过原始研究和探索原始数据而发现的有价值的见解。因此，在利用预制数据以提高效率和在必要时进行更深入分析之间找到平衡至关重要。总之，预制数据在现代数据环境中发挥着至关重要的作用。它使组织能够简化操作，并根据现成的信息更快地做出决策。然而，保持对其局限性的认识并不断评估所使用数据的相关性和准确性是至关重要的。通过这样做，企业可以利用预制数据的力量，同时仍然培养创新和深入分析的文化。随着我们在一个日益数据驱动的世界中前进，理解预制数据的细微差别将是充分利用其潜力的关键。