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
- Introduction to Data Governance
- Key Components of Data Management
- Maturity Levels of Data and Analytics Function
- 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.
On September 16, the international IT community, Global CIO, opened applications for the annual “Project of the Year” contest, where IT leaders from around the globe showcase their best IT projects.
In today's era of digitalisation, businesses in all sectors are facing new challenges. Competition is intensifying, customers are becoming more demanding and technology is evolving at breakneck speed. To remain competitive, businesses need to change. And one of the key steps along the way may be migrating to the cloud.
The right choice of a business partner is one of the main tasks of any business. The quality of goods or services that the company receives, as well as its reputation, depend on the reliability of the supplier. To make the process transparent and convenient, scoring models for assessing reliability come to the rescue.
Summer is coming to an end, but life in the analytics field is bustling. New vendor announcements, promising projects, and the pervasive penetration of AI into all areas of our lives are paving the way for the upcoming business season.