Data Quality Through Business Rules

V. Chanana, A. Koronios
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引用次数: 3

Abstract

Good quality data is a valuable asset for any enterprise in this information age. Though volumes of data have grown, their utility for decision making has been meagre. This is a result of poor quality data that enterprises generally possess. Data generation process goes through a number of stages from capture through exchange, integration, migration to storage and data can get corrupted at any stage. Information systems/business applications built with business rules embedded in the code are inadequate to overcome data quality problems. This paper presents a framework that enables enterprise develop business applications that externalize centralized business logic through business rules. Decoupling business rules from the application provides a number of benefits to enterprises including enhanced data quality conforming to defined rules and agility in responding to the ever changing demands of the business environment.
通过业务规则实现数据质量
在这个信息时代,高质量的数据对任何企业来说都是宝贵的资产。尽管数据量增长了,但它们对决策的效用却很少。这是企业通常拥有的数据质量较差的结果。数据生成过程经历了从捕获到交换、集成、迁移到存储的许多阶段,数据在任何阶段都可能损坏。使用代码中嵌入的业务规则构建的信息系统/业务应用程序不足以克服数据质量问题。本文提供了一个框架,使企业能够开发通过业务规则外部化集中式业务逻辑的业务应用程序。将业务规则与应用程序解耦为企业提供了许多好处,包括增强符合已定义规则的数据质量,以及响应业务环境不断变化的需求的灵活性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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