Advanced Data Governance Training

DIGTR-2584

Course Code

5 Days

Duration

Upcoming Dates

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Sector Name

Digital Transformation and Innovation

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25 Oct 2026 | 29 Oct 2026

Online, Virtual

$2,150

Limited Seats

04 Jan 2027 | 08 Jan 2027

Dubai, UAE

$4,250

Upcoming

11 Apr 2027 | 15 Apr 2027

Jeddah, KSA

$4,250

Upcoming

23 May 2027 | 27 May 2027

Riyadh, KSA

$4,250

Upcoming

09 Aug 2027 | 13 Aug 2027

Dubai, UAE

$4,250

Upcoming

18 Oct 2027 | 22 Oct 2027

Singapore, Singapore

$4,950

Upcoming

Course Introduction

In today's data-driven organizations, advanced data governance is not just about control; it’s a strategic capability that enables compliance, trust, agility, and value creation from data.

This five-day intensive BOOST training course is designed for experienced data professionals who are seeking to deepen their understanding of enterprise-wide data governance frameworks, policies, and implementation strategies at scale. Participants will engage with real-world case studies, hands-on exercises, and advanced tools to master the complexities of regulatory compliance (such as GDPR, HIPAA, and CCPA), data stewardship, data lineage, metadata management, master data governance, and the operationalization of governance in modern data ecosystems, including AI, big data, and cloud-based environments.

Course Objectives

Design and implement enterprise-level data governance strategies aligned with business objectives and regulatory mandates.
Apply advanced data stewardship practices and define data ownership models across complex organizations.
Establish and operationalize data governance councils, policies, procedures, and KPIs.
Integrate governance frameworks with data privacy, security, quality, and ethics standards.
Employ metadata management, data lineage, and master data governance to ensure traceability and accountability.
Use technology tools for governance automation, including data catalogs, lineage tools, and AI governance platforms.
Address governance challenges in hybrid, cloud, and multi-cloud data architectures.
Govern AI/ML data pipelines, synthetic data, and unstructured data sources effectively.
Measure the success and maturity of data governance programs and develop roadmaps for long-term sustainability.