Iveren M. Leghemo

Continuous Data Quality Improvement in Enterprise Data Governance: A Model for Best Practices and Implementation

Iveren M. Leghemo, Osinachi Deborah Segun-Falade, Chinekwu Somtochukwu Odionu & Chima Azubuike · Journal of Engineering Research and Reports · 2025

Continuous Data Quality Improvement (CDQI) is essential for maintaining the integrity, accuracy, and reliability of enterprise data. In today's data-driven organizations, ensuring high-quality data across various systems and departments is critical for decision-making, operationa...

Open access Research Article 10.9734/jerr/2025/v27i21391

Data Governance for Emerging Technologies: A Conceptual Framework for Managing Blockchain, IoT, and AI

Iveren M. Leghemo, Chima Azubuike, Osinachi Deborah Segun-Falade & Chinekwu Somtochukwu Odionu · Journal of Engineering Research and Reports · 2025

As emerging technologies such as Blockchain, the Internet of Things (IoT), and Artificial Intelligence (AI) continue to reshape industries, the need for robust data governance frameworks has become increasingly critical. These technologies introduce unique challenges, including d...

Open access Research Article 10.9734/jerr/2025/v27i11385