大数据质量稽核的监控实施方法

Monitoring Method of Big Data Quality Audit

数据质量的好坏直接关系到信息准确度和业务有效性。只有解决数据质量问题并保证数据资产的科学性,才能有效反映企业运营和市场事实。科学有效的数据能够让企业经营决策可靠精确。大数据时代,数据将会呈爆炸式增长,海量的数据一方面为运营商带来大量信息资产,另一方面无用数据、干扰数据也呈指数级增长。因此,围绕企业大数据的生命周期管理,实现数据的全过程质量监控非常重要。

The quality of data is directly related to the accuracy of information and the effectiveness of business.Only by solving the problem of data quality and ensuring the scientificity of data assets can data effectively reflect the facts of enterprise operation and market.Scientific and effective data can make business decisions reliable and accurate.In the era of big data,data will grow explosively.On the one hand,massive data will bring a lot of information assets to operators.On the other hand,useless data and interference data will also increase exponentially.Therefore,Therefore,it is very important to realize the whole pro-cess quality monitoring of data around the life cycle management of enterprise big data.