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The Data Governance and Compliance Strategies in Zurich is a comprehensive training course that prepares professionals to align data management with regulatory standards

Zurich

Fees: 11900
From: 29-12-2025
To: 09-01-2026

Zurich

Fees: 11900
From: 20-04-2026
To: 01-05-2026

Data Governance and Compliance Strategies

Course Overview

As organizations generate and rely on vast amounts of data, effective governance and compliance strategies have become essential to safeguard information assets, ensure accountability, and comply with complex regulations. Weak or absent governance exposes businesses to risks, penalties, and reputational damage.

This course provides executives and professionals with the knowledge to build robust governance frameworks, implement data policies, and manage compliance with international standards. Participants will gain practical tools for data quality, security, accountability, and risk management.

At EuroQuest International Training, the course blends governance models, regulatory insights, and hands-on case studies, equipping participants with both strategic and operational expertise.

Key Benefits of Attending

  • Learn to design effective data governance frameworks

  • Strengthen compliance with global regulations (GDPR, HIPAA, etc.)

  • Improve data quality, security, and accountability

  • Integrate governance with business and IT strategies

  • Build resilience against data-related risks

Why Attend

This course empowers professionals to transform data into a trusted business asset while ensuring compliance with international legal and ethical standards.

Course Methodology

  • Expert-led lectures and governance frameworks

  • Practical workshops on policy and data stewardship

  • Case studies on regulatory compliance failures and successes

  • Interactive group exercises on data risk scenarios

  • Hands-on development of governance strategies

Course Objectives

By the end of this ten-day training course, participants will be able to:

  • Define the principles of data governance and compliance

  • Develop policies for data ownership, stewardship, and accountability

  • Apply regulatory frameworks such as GDPR, HIPAA, and ISO standards

  • Align governance with IT, business, and risk management functions

  • Ensure data quality, accuracy, and consistency across systems

  • Implement data classification and access controls

  • Establish reporting, monitoring, and auditing practices

  • Manage risks related to data breaches and misuse

  • Embed ethics and transparency in data-driven strategies

  • Communicate governance priorities to executives and regulators

  • Build maturity models for continuous improvement

  • Drive organizational culture toward responsible data use

Target Audience

  • Chief data officers and data governance leaders

  • Risk and compliance managers

  • IT and data security professionals

  • Legal and regulatory officers

  • Business leaders overseeing data-driven strategies

Target Competencies

  • Data governance framework design

  • Regulatory compliance management

  • Data quality and stewardship

  • Risk and security management

  • Ethical and transparent data use

  • Organizational change leadership

  • Strategic data management

Course Outline

Unit 1: Introduction to Data Governance and Compliance

  • Defining governance and compliance principles

  • Business value of governance frameworks

  • Key challenges in regulatory alignment

  • Case studies of governance failures

Unit 2: Data Governance Frameworks and Models

  • Centralized vs federated governance

  • Roles and responsibilities in governance

  • Maturity models for governance structures

  • Industry frameworks and benchmarks

Unit 3: Regulatory Environment for Data Compliance

  • GDPR, HIPAA, CCPA, and international laws

  • Industry-specific compliance requirements

  • Cross-border data transfer regulations

  • Regulatory enforcement case studies

Unit 4: Data Quality and Integrity

  • Defining data quality standards

  • Tools for profiling, cleansing, and validation

  • Ensuring accuracy, consistency, and timeliness

  • Monitoring data lifecycle quality

Unit 5: Data Ownership and Stewardship

  • Assigning accountability across stakeholders

  • Roles of data owners and stewards

  • Creating stewardship policies

  • Building a data-centric culture

Unit 6: Data Classification and Access Control

  • Data classification frameworks

  • Implementing least-privilege access

  • Identity and access management integration

  • Protecting sensitive data assets

Unit 7: Data Security and Privacy in Governance

  • Security controls and encryption strategies

  • Privacy-by-design in data processing

  • Preventing breaches and unauthorized use

  • Security compliance case studies

Unit 8: Risk Management in Data Governance

  • Identifying and assessing data risks

  • Integrating with enterprise risk management

  • Mitigating compliance-related risks

  • Business continuity and resilience

Unit 9: Monitoring, Reporting, and Auditing

  • Compliance monitoring systems

  • Internal and external auditing practices

  • Building regulatory reports and dashboards

  • Measuring governance effectiveness

Unit 10: Ethical and Responsible Data Use

  • AI and data ethics in governance

  • Transparency and accountability frameworks

  • Avoiding bias in data-driven systems

  • Building public and stakeholder trust

Unit 11: Organizational Change for Governance Adoption

  • Embedding governance into business processes

  • Driving cultural change and executive buy-in

  • Employee awareness and training initiatives

  • Overcoming barriers to adoption

Unit 12: Capstone Governance and Compliance Project

  • Designing an organizational governance framework

  • Group policy drafting exercise

  • Compliance scenario simulation

  • Action plan for long-term governance maturity

Closing Call to Action

Join this ten-day training course to master data governance and compliance strategies, enabling your organization to protect information, meet regulations, and ensure business resilience.

Data Governance and Compliance Strategies

The Data Governance and Compliance Strategies Training Courses in Zurich provide professionals with a comprehensive framework for managing data responsibly, securely, and in alignment with global regulatory expectations. Designed for data managers, compliance officers, IT leaders, and business strategists, these programs focus on building robust governance structures that ensure data integrity, transparency, and accountability across the organization.

Participants gain a deep understanding of data governance principles, including data quality management, metadata frameworks, access control, lifecycle management, and stewardship roles. The courses emphasize how clear governance policies and standardized processes support accurate reporting, operational efficiency, and consistent data usage. Through case studies and applied exercises, attendees learn to establish governance models, define data ownership responsibilities, and build systems that support both business needs and risk mitigation.

These data governance and compliance programs in Zurich also address the broader regulatory environment, helping participants understand how to align internal practices with international compliance standards and emerging expectations for secure and ethical data usage. The curriculum covers topics such as audit readiness, policy development, data protection strategies, and compliance monitoring. Participants explore how analytics, automation, and documentation tools enhance governance and ensure ongoing adherence to regulatory requirements.

Attending these training courses in Zurich offers professionals a valuable opportunity to engage with experts in governance, data management, and organizational compliance. Zurich’s strong global position in finance, technology, and regulatory leadership enriches the learning experience, providing exposure to best practices and forward-looking governance trends. By completing this specialization, participants will be equipped to design and implement sound data governance structures, strengthen compliance capabilities, and support trustworthy, well-managed data environments that elevate organizational performance and resilience in a rapidly evolving digital landscape.