Data Quality and Organizational Sustainability in a Dynamic Globalized Economy

Author(s): KENNETH. C. Adiele (PhD), OMUNAKWE, Priscilla Obunwo and AMACHREE Ibim (PhD).

Abstract:
The collection, representation, and effective use of organizational data are important to a firm because these activities facilitates the increasingly important analysis needed for business operations and business analytics. Poor data quality can be a major cause for damages or losses of organizational processes and sustainability. The many tasks that individuals perform within an organization are linked and normally require access to shared data. However, in such a connected setting, the differences among individuals in terms of their preferences for data attributes such as timeliness, accuracy, and others, can cause data quality problems which may potentially and negatively influence organizational sustainability. Data quality is a major issue in today’s world. Many organizations have remained uncompetitive due to the nature of the data contained within their databases. Some organizations are failing as a result of inaccurate, modified, or incorrect data that is contained with organizational records. Still others are losing customers and clients, and yet others are the subject of malicious lawsuits based upon inaccurate decisions and subsequent actions derived from inexact, modified, or missing data. This paper has elaborately discussed the concept of data quality and its influence on organizational sustainability with its proxies as institutional, financial and moral sustainability. Based on the findings obtained from the review of literature, the authors concluded that data quality significantly influence organizational sustainability and recommended that Nigeria organizations should regularly insist on data quality management and innovation in other to evolve successful decisions that can improve their business sustainability.

Keywords: Data Quality, Institutional, Financial, and Moral Organizational Sustainability

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