Data governance: data quality

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brief introduction

This article will explain the objectives of data quality management , The root cause of quality problems , Evaluation of data quality , Data quality management process .

One . Why? Why should we do data quality

Data quality management mainly solves 「 How is the data quality , Who can improve , How to improve , How to assess 」 The problem of .

Because the first era of relational database , The main purpose of data governance , To improve the quality of data , Let Report 、 analysis 、 The application is more accurate . today , Although the scope of data governance has expanded a lot , Let's start with data asset management 、 Knowledge map 、 Automated data governance and so on , But improve the quality of the data , Still one of the most important goals of data governance .

Why is data quality so important ？ Because data needs to be able to play its value , The key lies in the quality of its data , High quality data is the foundation of all data applications .

If an organization analyzes business based on poor data 、 To make decisions , It's better to have no data , Because through the wrong data points