pertinent data

简明释义

有关资料

英英释义

例句

1.The analyst presented pertinent data that highlighted the trends in consumer behavior.

分析师展示了突显消费者行为趋势的相关数据。

2.To make an informed decision, we need to analyze the pertinent data from the recent survey.

为了做出明智的决定，我们需要分析最近调查的相关数据。

3.During the meeting, we reviewed the pertinent data regarding last quarter's sales performance.

在会议期间，我们审查了关于上个季度销售业绩的相关数据。

4.The researcher gathered all the pertinent data to support her hypothesis.

研究人员收集了所有的相关数据来支持她的假设。

5.The report included pertinent data on environmental impacts that influenced the policy changes.

报告中包含了影响政策变更的环境影响的相关数据。

作文

In today's world, the importance of data cannot be overstated. From businesses to scientific research, the ability to gather and analyze information is crucial for making informed decisions. One term that frequently arises in discussions about data analysis is pertinent data, which refers to information that is relevant and applicable to a specific situation or problem. Understanding what constitutes pertinent data is essential for anyone looking to leverage data effectively.To illustrate the significance of pertinent data, consider a marketing team trying to launch a new product. They would need to analyze various factors such as market trends, customer preferences, and competitive analysis. In this case, pertinent data would include information that directly relates to potential customers' buying behavior, demographic details, and feedback on similar products. Gathering this type of information allows the marketing team to tailor their strategies to meet customer needs more effectively.On the other hand, data that does not relate to the target audience or market conditions may lead to misguided strategies. For instance, if the marketing team were to focus on data regarding unrelated industries or irrelevant consumer behavior, they would likely fail to connect with their intended audience. This highlights the critical nature of identifying and utilizing pertinent data in any analytical process.Moreover, in scientific research, the role of pertinent data is equally vital. Researchers must sift through vast amounts of information to find data that will support their hypotheses. For example, a study on the effects of a new drug must only consider pertinent data related to the drug's efficacy, side effects, and comparisons with existing treatments. Including extraneous data could cloud the results and lead to incorrect conclusions.The challenge lies not only in identifying pertinent data but also in ensuring its accuracy and reliability. With the rise of big data, organizations are inundated with information, and distinguishing valuable insights from noise can be daunting. It is crucial for analysts to develop skills in data filtering and validation to ensure that the pertinent data they are working with is credible and useful.In conclusion, the concept of pertinent data plays a significant role across various fields, including marketing and scientific research. By focusing on information that is relevant and applicable to their specific contexts, professionals can make better decisions and achieve more successful outcomes. As we continue to navigate an increasingly data-driven world, honing the ability to identify and utilize pertinent data will be a key skill for success. Whether you are a marketer looking to engage customers or a scientist seeking to validate your findings, understanding the relevance of pertinent data is essential for effective decision-making.

在当今世界，数据的重要性不容忽视。从企业到科学研究，收集和分析信息的能力对于做出明智的决策至关重要。在关于数据分析的讨论中，一个常出现的术语是pertinent data，它指的是与特定情况或问题相关和适用的信息。理解什么构成pertinent data对任何希望有效利用数据的人来说都是必不可少的。为了说明pertinent data的重要性，考虑一个市场营销团队试图推出新产品的情况。他们需要分析各种因素，例如市场趋势、客户偏好和竞争分析。在这种情况下，pertinent data将包括直接与潜在客户购买行为、人口统计细节以及类似产品反馈相关的信息。收集这些类型的信息使市场营销团队能够更有效地调整他们的策略以满足客户需求。另一方面，不涉及目标受众或市场条件的数据可能会导致误导性的策略。例如，如果市场营销团队专注于与无关行业或不相关消费者行为的数据，他们可能会无法与其目标受众建立联系。这突显了在任何分析过程中识别和利用pertinent data的关键性。此外，在科学研究中，pertinent data的作用同样至关重要。研究人员必须从大量信息中筛选出支持其假设的数据。例如，关于新药效果的研究必须仅考虑与药物疗效、副作用及与现有治疗方法的比较相关的pertinent data。包含多余数据可能会模糊结果并导致错误结论。挑战不仅在于识别pertinent data，还在于确保其准确性和可靠性。随着大数据的兴起，组织被大量信息淹没，区分有价值的见解与噪声可能是艰巨的任务。分析师必须培养数据过滤和验证的技能，以确保他们所处理的pertinent data是可信和有用的。总之，pertinent data的概念在市场营销和科学研究等各个领域都发挥着重要作用。通过关注与特定背景相关和适用的信息，专业人士可以做出更好的决策并取得更成功的结果。随着我们继续在一个日益数据驱动的世界中航行，磨练识别和利用pertinent data的能力将成为成功的关键技能。无论你是希望吸引客户的市场营销人员，还是寻求验证发现的科学家，理解pertinent data的相关性对于有效决策至关重要。