Data Quality and Data Governance in Multinational Organisations

Abstract

As multinational organisations increasingly rely on data-driven decision-making, the accuracy and consistency of data have become critical to operational success. This chapter examines the principles of data quality—defined as the degree to which data meets user requirements and explores its dimensions which are: accuracy, completeness, consistency, and timeliness. Effective data quality management is essential for minimising organisational risk and ensuring regulatory compliance. The chapter further investigates data governance as a strategic framework comprising policies, standards, metrics, and roles that promote consistent data stewardship. Focusing on the Zambian business environment, it argues for the localisation of global governance models to address inefficiencies and compliance challenges. The chapter offers practical recommendations for aligning data governance with Zambia’s institutional realities, contributing to improved decision-making and digital transformation.