Subject category:
Production and Operations Management
Published by:
Darden Business Publishing
Version: 31 January 2023
Length: 6 pages
Data source: Published sources
Share a link:
https://casecent.re/p/188950
Write a review
|
No reviews for this item
This product has not been used yet
Abstract
As companies increasingly rely on data and analytics to make decisions and improve their operations, it becomes clear that data quality can be a major issue. The insights gleaned from data analytics are useful only if the data is of high quality. This note summarizes some common issues that can result in low-quality data and explores the crucial task of data engineering. This note is taught at Darden in the second-year elective, 'Digital Operations'. It would also be suitable in a course or module covering data analytics.
Industry:
About
Abstract
As companies increasingly rely on data and analytics to make decisions and improve their operations, it becomes clear that data quality can be a major issue. The insights gleaned from data analytics are useful only if the data is of high quality. This note summarizes some common issues that can result in low-quality data and explores the crucial task of data engineering. This note is taught at Darden in the second-year elective, 'Digital Operations'. It would also be suitable in a course or module covering data analytics.
Settings
Industry: