Data Governance in telecom company processes

Data governance is a comprehensive framework aimed at ensuring data quality, consistency, security, and accessibility within an organization. It involves assigning accountability through clear roles, maintaining data integrity and transparency, and protecting data from unauthorized access. Kuat Sandalov, Chief Data Officer at Kazakhtelecom tells about how data governance maximizes the value of data for strategic initiatives and decision-making while ensuring sustainability and adaptability to future needs.

Contents

1. Introduction to Data Governance
2. Key Components of Data Management
3. Maturity Levels of Data and Analytics Function
4. Principles and Processes of Data Management

Introduction to Data Governance

Data governance is a system of management that ensures transparency, responsibility, coherence, quality, and security of data inside an organisation. Its core aim is to establish and maintain high standards of data quality, consistency, security, and accessibility. By defining clear roles and responsibilities, data governance assigns accountability for data management tasks to specific individuals or teams, often through the designation of data stewards (as in Kazakhtelecom's case) or custodians. Ultimately, by maximizing the value derived from data, organizations can leverage it effectively for strategic initiatives and gain a competitive advantage.