In analytics, nothing matters more than data quality. The practical way to control data quality is to do it at the point where the data is created. Cleaning up data downstream is expensive and not scalable, because data is a byproduct of business processes and operations like marketing, sales, plant operations, and so on. But controlling data quality at the point of creation requires a change in the behaviors of those creating the data and the IT tools they use.
How Chief Data Officers Can Get Their Companies to Collect Clean Data
It’s in everybody’s interest.
February 16, 2017
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New!
HBR Learning
Digital Intelligence Course
Accelerate your career with Harvard ManageMentor®. HBR Learning’s online leadership training helps you hone your skills with courses like Digital Intelligence . Earn badges to share on LinkedIn and your resume. Access more than 40 courses trusted by Fortune 500 companies.
Excel in a world that's being continually transformed by technology.