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关键词：
Data Quality: Empowering Businesses with Analytics and Ai
书目信息
ISBN：
9781394165254
本馆索书号：
中图分类号：
TP3
中文译名：
数据质量：用分析与人工智能赋能企业
作者：
Prashanth Southekal
编者：
语种：
英语
出版信息
出版社：
Wiley
出版地：
出版年：
2023
版本：
1
版本类型：
原版
丛书题名：
卷期：
文献信息
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前言：
摘要：
Quality data is the key for business enterprises to offer improved performance in operations, compliance, and decision making. According to McKinsey, data driven organizations provide EBITDA increases between 15 to 25% than peers. However, to be a data driven organization, data quality is very important. But most companies are plagued with poor data quality. A HBR study found that just 3% of the data in a business enterprise meets quality standards. According to Gartner, 27% of data in the worlds top companies is flawed--so companies are looking for practical guidance to improve data quality. This book examines the four-phase DARS approach (Define-Assess-Realize-Sustain) for companies to manage high quality data in organizations. This approach provides a combination of strategy and tactical elements to deliver the greatest value from data to the business. It is a playbook that offers prescriptive recommendations based on proven best practices to realize and sustain data quality.
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