Transforming Data Governance for Scalable and Reliable Insights

Our client is a leading media and publishing company based in Saudi Arabia. The company focuses on publishing, printing, and distributing a diverse range of digital publications.

Case study | Data Analytics |
2 Min Read

Challenges

The rapid surge in data volume and variety overwhelmed the data team, leading to bottlenecks and delays in delivering insights.

Variations in data definitions and unclear metric calculations created confusion, reducing trust in the accuracy of reports and insights.

The absence of a structured governance model limited SRMG’s ability to extract full value from its data, negatively impacting decision-making and content strategy optimization.

Implementation

Standardized Data & Improved Accessibility: Established clear data standards, ensuring consistency across the organization while making data more accessible.

Collaborative Data Governance: Created cross-functional teams to define data metrics, document processes, and enforce consistency across departments.

Seamless Integration with AWS: Implemented a governance framework that integrates with AWS and the existing data stack for scalability and efficiency.

Data Literacy Initiatives: Launched educational programs and data stewardship initiatives to empower employees and foster a culture of shared responsibility for data governance.

Results

Reduced data processing inefficiencies by 40%, improving report generation speed.

Increased trust in data accuracy, with 90% of stakeholders reporting higher confidence in insights.

Reduced ad-hoc data requests by 60%, allowing the data team to focus on high-value strategic initiatives.

Improved data discovery efficiency, cutting time spent searching for data by 50%.

Enabled 30% faster content strategy execution by leveraging data-driven insights.

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