automatic data-processing system

简明释义

自动数据处理系统

英英释义

例句

1.With the new automatic data-processing system, we can analyze customer data much faster.

通过新的自动数据处理系统，我们可以更快地分析客户数据。

2.The company implemented an automatic data-processing system to streamline their payroll operations.

公司实施了一个自动数据处理系统来简化他们的薪资操作。

3.Our automatic data-processing system generates reports every hour without any manual intervention.

我们的自动数据处理系统每小时生成报告，无需人工干预。

4.The automatic data-processing system helps in reducing human error in data entry.

该自动数据处理系统有助于减少数据输入中的人为错误。

5.The automatic data-processing system is crucial for managing large datasets efficiently.

该自动数据处理系统对于高效管理大型数据集至关重要。

作文

In today's fast-paced world, the need for efficiency and accuracy in handling data has never been more critical. One of the key innovations that have emerged to meet this demand is the automatic data-processing system. This technology allows organizations to manage vast amounts of information quickly and with minimal human intervention. The automatic data-processing system refers to a set of processes and tools that automatically collect, store, process, and distribute data. By automating these tasks, businesses can save time and reduce errors, ultimately leading to improved productivity.The concept of automatic data-processing systems is not new; it has evolved significantly since the early days of computing. Initially, data processing was a labor-intensive task that required skilled operators to manually input and manipulate data. However, with advancements in technology, we now have sophisticated systems that can handle these processes automatically. For instance, modern software applications can analyze large datasets, generate reports, and even provide insights without requiring constant human oversight.One of the primary advantages of implementing an automatic data-processing system is the speed at which data can be processed. In industries such as finance, healthcare, and retail, timely access to accurate information is crucial for decision-making. Automated systems can process transactions in real-time, allowing businesses to respond swiftly to market changes or customer needs. This agility is essential for maintaining a competitive edge in today’s economy.Moreover, the accuracy of data processing is significantly enhanced through automation. Human error is a common issue in manual data entry and processing, which can lead to costly mistakes. An automatic data-processing system minimizes these risks by relying on algorithms and predefined rules to handle data consistently. This reliability ensures that organizations can trust the information they are using for strategic planning and operational decisions.Another important aspect of automatic data-processing systems is their ability to handle large volumes of data. With the rise of big data, organizations are inundated with information from various sources, including social media, customer interactions, and sales transactions. Traditional methods of data processing cannot keep up with this influx, making automation a necessity. These systems can efficiently sort, filter, and analyze data, providing valuable insights that would be impossible to obtain manually.Additionally, the implementation of an automatic data-processing system can lead to significant cost savings. By reducing the need for manual labor and minimizing errors, organizations can allocate resources more effectively. Furthermore, automated systems often require less maintenance and can operate around the clock, further enhancing their cost-effectiveness.Despite the many benefits, there are also challenges associated with automatic data-processing systems. For instance, organizations must ensure that their systems are secure to protect sensitive information from cyber threats. Additionally, businesses need to invest in training employees to work alongside these systems, as understanding how to leverage automation effectively is crucial for maximizing its benefits.In conclusion, the automatic data-processing system represents a significant advancement in how organizations handle data. Its ability to improve speed, accuracy, and efficiency makes it an invaluable tool in today’s data-driven world. As technology continues to evolve, we can expect these systems to become even more sophisticated, further transforming the landscape of data management. Embracing this innovation will be essential for organizations aiming to thrive in the modern economy.

在当今快节奏的世界中，处理数据的效率和准确性需求比以往任何时候都更加重要。其中一个关键的创新是自动数据处理系统。该技术使组织能够快速管理大量信息，并且人类干预最小化。自动数据处理系统是指一套自动收集、存储、处理和分发数据的过程和工具。通过自动化这些任务，企业可以节省时间并减少错误，从而最终提高生产力。自动数据处理系统的概念并不新鲜；自计算机早期以来，它已经显著演变。最初，数据处理是一项劳动密集型任务，需要熟练的操作员手动输入和处理数据。然而，随着技术的进步，我们现在拥有能够自动处理这些过程的复杂系统。例如，现代软件应用程序可以分析大型数据集、生成报告，甚至在不需要持续人类监督的情况下提供洞察。实施自动数据处理系统的主要优点之一是数据处理的速度。在金融、医疗保健和零售等行业，及时获取准确的信息对于决策至关重要。自动化系统可以实时处理交易，使企业能够迅速响应市场变化或客户需求。这种敏捷性对于在当今经济中保持竞争优势至关重要。此外，通过自动化，数据处理的准确性显著提高。人工错误是手动数据输入和处理中的常见问题，可能导致昂贵的错误。自动数据处理系统通过依赖算法和预定义规则一致地处理数据，从而将这些风险降到最低。这种可靠性确保组织可以信任他们用于战略规划和运营决策的信息。自动数据处理系统的另一个重要方面是它们能够处理大量数据。随着大数据的兴起，组织面临来自各种来源的信息洪流，包括社交媒体、客户互动和销售交易。传统的数据处理方法无法跟上这种涌入，使得自动化成为必要。这些系统可以高效地排序、过滤和分析数据，提供手动处理无法获得的有价值的见解。此外，实施自动数据处理系统可以带来显著的成本节约。通过减少对人工劳动的需求和最小化错误，组织可以更有效地分配资源。此外，自动化系统通常需要较少的维护，并且可以全天候运行，进一步增强了其成本效益。尽管有许多好处，但自动数据处理系统也面临挑战。例如，组织必须确保其系统安全，以保护敏感信息免受网络威胁。此外，企业需要投资于培训员工与这些系统协作，因为理解如何有效利用自动化对于最大化其收益至关重要。总之，自动数据处理系统代表了组织处理数据方式的重要进步。其提高速度、准确性和效率的能力使其成为当今数据驱动世界中不可或缺的工具。随着技术的不断发展，我们可以期待这些系统变得更加复杂，进一步改变数据管理的格局。拥抱这一创新将是组织在现代经济中蓬勃发展的关键。