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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.

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.

Tech Stack