在电子商务OLX业务中大量数据的利用

Intech Pub Date : 2021-12-05 DOI:10.54895/intech.v2i2.880
Citra Adinda Hartawan
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引用次数: 3

摘要

基本上,网上销售网站的出现对信息技术的发展产生了积极的影响。不少网上市场出售类似的商品和服务。然而,消费者在分类和选择他们将要购买的商品以及在线市场上显示的商品库存时,有许多考虑因素。每个在线市场都必须通过研究消费者使用的账户网站上输入的数据来竞争,以增加销售利润。所使用的研究类型是定量研究。通过利用先进的技术,使用数据挖掘是检索和收集所需数据的有效方法。数据挖掘,通常也称为数据库中的知识发现(KDD),是一种活动,包括收集和使用历史数据来发现大型数据集中的规律、模式或关系。该数据挖掘的输出可用于改进未来的决策。因此,模式识别这个术语现在很少被使用,因为它是数据挖掘的一部分。通过访问网站直接在olx.co.id网站上进行观察,然后通过打印屏幕记录网站,以便能够拍摄网站显示的照片,换句话说,我们可以将一种产品与其他产品进行比较,看看有多少产品。卖完了。在本研究中,研究者还利用OLX电子商务解释了产品订单的流程。电子商务平台还允许企业收集大量的统计数据,包括有多少客户访问他们的网站,他们如何选择或比较替代品,以及每次购买情况的逻辑是什么。
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Pemanfaatan Big Data dalam Bisnis E-commerce OLX
Basically, the emergence of online sales sites is a positive impact on the development of information technology. Not a few online markets selling similar goods and services. However, there are many considerations between consumers in sorting and choosing what goods they will buy as well as the inventory of goods displayed on the online market. Every online marketplace must compete to increase its sales profit by researching the data entered on the account sites used by consumers. The type of research used is quantitative research. By utilizing advances in technology, the use of data mining is an efficient way to retrieve and collect the required data. Data mining, often also called knowledge discovery in database (KDD), is an activity that includes collecting, using historical data to find regularities, patterns, or relationships in large data sets. The output of this data mining can be used to improve decision-making in the future. So the term pattern recognition is now rarely used because it is part of data mining. Observations are carried out directly on the olx.co.id web by visiting the site, then documenting the site by printing a screen to be able to take pictures of the website display in other words we can compare one product with other products and see how many products there are. sold out. In this study, researchers also explain the flow of product orders using OLX e-commerce. E-commerce platforms also allow businesses to gather a wealth of statistics about how many customers come to their website, how they choose or compare alternatives, and what the logic is in each buying situation.
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