Operationalizing Data Quality through Data Governance - Data Governance: Creating Value from Information Assets - page 65

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Operationalizing Data Quality
through Dat a Governance
Julia Zhang
CONTENTS
A Pharmaceutical Industry Perspective ........................................................65
What Is Data Quality? ......................................................................................65
Importance of Data Quality ........................................................................... 68
Data Governance Drives Data Quality ..........................................................71
Data Standards Enables Automation of Data Quality Control Process ....73
Data Quality Strategy ...................................................................................... 80
Best Practices for Achieving Data Quality in the Pharmaceutical
Industry .............................................................................................................83
Experiences and Lessons Learned ............................................................ 88
Conclusions .......................................................................................................91
References ..........................................................................................................92
A PHARMACEUTICAL INDUSTRY PERSPECTIVE
This chapter focuses the discussion on data quality through the data
governance. It will include the discussion of data quality definition, the
importance of data quality, standards enabled automation of data quality
processes, and strategies of how to improve data quality.
WHAT IS DATA QUALITY?
The definition of data quality has been mentioned in one of the ISO stan-
dards on Quality Management and Quality Assurance as: “The total of
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