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About Us
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CONTACT US

Contact Info

684 West College St. Sun City, United States America, 064781.

(+55) 654 - 545 - 1235

info@corpkit.com

Client:

A leading provider of strategic benchmarking, analytics and insights

Project Title

Data Standards & Policies Framework for a Leading Bank in the Middle East

Client

A leading commercial bank in the Middle East with a wide portfolio across retail, corporate, and investment banking services, serving millions of customers across multiple regions

Problem

  • Fragmented Data Definitions: Multiple business units maintained inconsistent data definitions and metadata standards.
  • Lack of Governance Policies: Absence of a centralized data ownership and stewardship model caused quality and compliance issues.
  • Regulatory Compliance Pressure: Regional and international compliance requirements (e.g., BCBS 239, GDPR, CBUAE guidelines) demanded tighter controls.
  • Limited Data Lineage Visibility: No standardized process for data cataloging or tracking data flow across systems.

Solution

  • Leveraging Datacrew.ai’s deep expertise in data governance and policy design, the engagement established a comprehensive Data Standards & Policies Framework aligned with international best practices.
  • The framework included enterprise-wide Data Governance Policies such as Data Quality, Data Retention, and Data Classification & Access, designed to ensure consistency, accuracy, and compliance across all enterprise data assets.
  • It also introduced a centralized metadata and stewardship model that improved data transparency, trust, and accountability across the organization

Value Proposition

  • Enhanced Data Trust & Compliance: Unified standards and governance policies ensured high-quality, consistent, and compliant data across the enterprise.
  • Improved Efficiency & Decision-Making: Streamlined processes and standardized definitions reduced duplication, eliminated errors, and accelerated insight delivery.
  • Future-Ready Data Foundation: A robust governance framework supporting scalability, AI adoption, and long-term business value creation from trusted data assets.