Data Governance for Business Intelligence Systems Training Course: Ensuring Data Quality, Compliance, and Trust in Analytics

Introduction

In the era of data-driven decision-making, organizations are increasingly relying on Business Intelligence (BI) systems to gain actionable insights. Effective data governance ensures that BI systems deliver accurate, consistent, and secure information across the organization. This course provides a comprehensive understanding of data governance frameworks, policies, and best practices tailored specifically for BI environments, enabling professionals to manage data as a strategic asset and drive informed business outcomes.

As organizations accumulate massive volumes of data, maintaining data quality, compliance, and usability becomes critical. This training equips participants with practical tools and strategies to implement robust governance structures, ensure data integrity, and optimize BI performance. Attendees will learn how to align data governance initiatives with organizational goals, mitigate risks, and enhance decision-making processes through reliable, well-managed data assets.

Duration: 10 days

Target Audience

  • Business Intelligence professionals
  • Data analysts and data scientists
  • IT managers and system administrators
  • Data governance officers
  • Business managers and decision-makers
  • Compliance and risk management professionals
  • Project managers involved in BI implementations
  • Enterprise architects
  • Database administrators
  • Consultants in data management and analytics

Objectives

  1. Understand the principles and importance of data governance in BI systems
  2. Develop effective data governance frameworks and policies
  3. Ensure data quality, consistency, and integrity across BI platforms
  4. Align data governance with organizational strategy and compliance requirements
  5. Learn best practices for data stewardship and ownership
  6. Implement metadata management for better data visibility
  7. Understand regulatory and legal requirements impacting BI data
  8. Integrate data governance with BI tools and technologies
  9. Mitigate risks related to data security and privacy
  10. Establish ongoing monitoring, auditing, and improvement processes for data governance

Course Modules

  1. Foundations of Data Governance
  • Introduction to data governance concepts
  • Importance of data governance in BI
  • Key components of a governance framework
  • Roles and responsibilities in data governance
  • Establishing governance policies and standards
  1. Data Governance Frameworks and Models
  • Popular data governance frameworks
  • Designing a governance model for BI systems
  • Assessing organizational readiness
  • Framework adaptation for business needs
  • Implementation challenges and solutions
  1. Data Quality Management
  • Defining data quality dimensions
  • Data profiling and cleansing techniques
  • Measuring and monitoring data quality
  • Tools for data quality management
  • Addressing common data quality issues
  1. Metadata Management
  • Importance of metadata in BI systems
  • Metadata types and standards
  • Metadata repositories and catalogs
  • Tools for metadata management
  • Best practices for metadata governance
  1. Data Stewardship and Ownership
  • Defining roles of data stewards
  • Responsibilities and accountability
  • Collaborative stewardship approaches
  • Data ownership models
  • Monitoring and reporting stewardship activities
  1. Data Security and Privacy
  • Key principles of data security in BI
  • Privacy regulations and compliance
  • Risk assessment and mitigation strategies
  • Implementing security controls
  • Monitoring and auditing access and usage
  1. Regulatory and Compliance Requirements
  • Understanding regulatory frameworks
  • Compliance in data governance
  • Data retention and archival policies
  • Audit readiness and reporting
  • Managing cross-border data issues
  1. Integration with BI Systems
  • Linking governance with BI architecture
  • Ensuring data consistency across platforms
  • Data integration best practices
  • Managing ETL processes under governance
  • Leveraging BI tools for governance enforcement
  1. Master Data Management (MDM)
  • Principles of MDM in BI
  • Identifying master data domains
  • Data consolidation and harmonization
  • MDM tools and technologies
  • Governance considerations in MDM implementation
  1. Data Governance Policies and Procedures
  • Developing governance policies
  • Documenting procedures and standards
  • Policy enforcement mechanisms
  • Communicating policies organization-wide
  • Continuous review and updates
  1. Data Governance Metrics and KPIs
  • Defining success measures for governance
  • Key performance indicators for data quality
  • Monitoring and reporting metrics
  • Benchmarking and continuous improvement
  • Dashboarding for governance performance
  1. Data Lifecycle Management
  • Understanding the data lifecycle
  • Data creation, storage, and usage
  • Archiving and purging strategies
  • Ensuring compliance throughout lifecycle
  • Lifecycle automation and tools
  1. Change Management in Data Governance
  • Importance of change management
  • Strategies for organizational adoption
  • Training and awareness programs
  • Handling resistance and challenges
  • Sustaining governance initiatives
  1. Data Governance Tools and Technologies
  • Overview of governance tools
  • Selecting appropriate solutions
  • Tool integration with BI systems
  • Automating governance processes
  • Evaluating ROI and effectiveness
  1. Practical Implementation and Case Studies
  • Real-world examples of governance success
  • Lessons learned from governance failures
  • Hands-on exercises and simulations
  • Developing a governance roadmap
  • Planning for continuous improvement

CERTIFICATION

  • Upon successful completion of this training, participants will be issued with Macskills Training and Development Institute Certificate

TRAINING VENUE

  • Training will be held at Macskills Training Centre. We also tailor make the training upon request at different locations across the world.

AIRPORT PICK UP AND ACCOMMODATION

  • Airport Pick Up is provided by the institute. Accommodation is arranged upon request

TERMS OF PAYMENT

Payment should be made to Macskills Development Institute bank account before the start of the training and receipts sent to info@macskillsdevelopment.com

For More Details call: +254-114-087-180

 

 

Data Governance For Business Intelligence Systems Training Course: Ensuring Data Quality, Compliance, And Trust In Analytics in Georgia
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