reference data

简明释义

参考数据

英英释义

例句

1.The system retrieves reference data from a centralized database.

系统从集中数据库中检索参考数据。

2.Inconsistent reference data can lead to inaccurate analytics results.

不一致的参考数据可能导致分析结果不准确。

3.The application uses reference data to validate user inputs.

该应用程序使用参考数据来验证用户输入。

4.Before generating the report, make sure the reference data is up to date.

在生成报告之前，请确保参考数据是最新的。

5.We need to cross-check the reference data against the new dataset.

我们需要将新的数据集与参考数据进行交叉检查。

作文

In today's data-driven world, the term reference data refers to the set of values that are used to categorize or classify other data. It serves as a critical component in various industries, including finance, healthcare, and retail. Understanding reference data is essential for businesses that rely on accurate data management and analysis.To illustrate the importance of reference data, consider a financial institution that processes thousands of transactions daily. Each transaction must be categorized according to various parameters such as type, location, and currency. The reference data in this case would include predefined categories like 'debit,' 'credit,' or 'transfer,' as well as the list of currencies in use. Without accurate and up-to-date reference data, the institution could face significant challenges, including erroneous reporting and compliance issues.In healthcare, reference data plays a crucial role in patient identification and treatment protocols. For instance, hospitals maintain reference data that includes standard medical codes, such as ICD (International Classification of Diseases) codes. These codes help in categorizing diseases and conditions, ensuring that healthcare providers can accurately document patient information and facilitate effective treatment. If the reference data is not consistent across various systems, it could lead to misdiagnosis or improper treatment plans, ultimately affecting patient care.Retailers also rely heavily on reference data to manage their inventory and sales processes. A retail company might use reference data to define product categories, supplier information, or pricing structures. This allows for better organization and analysis of sales trends. For example, if a retailer has inconsistent reference data regarding product categories, it may struggle with inventory management, leading to stockouts or overstock situations that can harm profitability.Moreover, the accuracy of reference data is paramount. Organizations often implement data governance policies to ensure that their reference data remains reliable and up-to-date. This involves regular audits, validation processes, and the use of automated tools to maintain the integrity of the data. Inaccurate reference data can lead to poor decision-making and financial losses, making it imperative for businesses to prioritize its management.In conclusion, reference data is an indispensable element in the realm of data management. Its role in categorizing and classifying various types of data cannot be overstated. Whether in finance, healthcare, or retail, having accurate and reliable reference data is crucial for operational efficiency and informed decision-making. As technology continues to evolve, the methods of collecting, maintaining, and utilizing reference data will also advance, further highlighting its significance in the modern business landscape.

在当今数据驱动的世界中，术语参考数据指的是用于对其他数据进行分类或归类的一组值。它是各个行业的重要组成部分，包括金融、医疗保健和零售。理解参考数据对于依赖准确的数据管理和分析的企业至关重要。为了说明参考数据的重要性，考虑一个每天处理数千笔交易的金融机构。每笔交易必须根据类型、地点和货币等各种参数进行分类。在这种情况下，参考数据将包括预定义的类别，如“借记”、“贷记”或“转账”，以及使用中的货币列表。如果没有准确和最新的参考数据，该机构可能会面临重大挑战，包括错误报告和合规问题。在医疗保健中，参考数据在患者识别和治疗方案中发挥着至关重要的作用。例如，医院维护着包含标准医学编码（如ICD（国际疾病分类）代码）的参考数据。这些代码有助于对疾病和病症进行分类，确保医疗提供者能够准确记录患者信息并促进有效治疗。如果参考数据在各个系统之间不一致，可能导致误诊或不当治疗方案，从而影响患者护理。零售商也严重依赖参考数据来管理他们的库存和销售流程。一家零售公司可能会利用参考数据来定义产品类别、供应商信息或定价结构。这使得销售趋势的更好组织和分析成为可能。例如，如果零售商在产品类别方面拥有不一致的参考数据，它可能会在库存管理上面临困难，导致缺货或过剩情况，从而损害盈利能力。此外，参考数据的准确性至关重要。组织通常会实施数据治理政策，以确保其参考数据保持可靠和最新。这涉及定期审计、验证过程和使用自动化工具来维护数据的完整性。不准确的参考数据可能导致决策失误和财务损失，这使得企业必须优先管理这些数据。总之，参考数据是数据管理领域不可或缺的元素。它在对各种类型的数据进行分类和归类方面的作用不容小觑。无论是在金融、医疗保健还是零售中，拥有准确可靠的参考数据对于操作效率和明智决策至关重要。随着技术的不断发展，收集、维护和利用参考数据的方法也将不断进步，进一步突显其在现代商业环境中的重要性。