Data Governance and Management in Business Intelligence (BI)
This extensive program examines the foundational concepts and methodologies associated with data governance and management in the context of Business Intelligence (BI).
– Attendees will investigate
Certificate :
After Completion
Start Date :
10-Jan-2025
Duration :
30 Days
Course fee :
$150
COURSE DESCRIPTION:
– This extensive program examines the foundational concepts and methodologies associated with data governance and management in the context of Business Intelligence (BI).
– Attendees will investigate essential elements that uphold data integrity, security, and accessibility, which are vital for the successful execution of BI initiatives.
– The syllabus encompasses a range of subjects, including data quality management, metadata management, data catalogs, classification, security measures, access control, privacy management, and master data management (MDM) tailored for BI applications.
– Participants will gain insights into best practices that facilitate the effective utilization of data, ensuring that it meets organizational standards and regulatory requirements.
– The course aims to equip individuals with the necessary skills to implement robust data governance frameworks that enhance decision-making processes and drive business success through informed data usage.
CERTIFICATION:
Upon successful completion of the course, participants will receive a Certificate in Data Governance and Management for Business Intelligence, validating their expertise in managing and governing data within BI frameworks.
LEARNING OUTCOMES:
By the conclusion of the course, participants will possess the skills to:
– Grasp the Essentials of Data Governance Frameworks: Acquire a thorough understanding of the core principles and elements that constitute data governance within the realm of business intelligence (BI).
– Execute Data Quality Management Practices: Implement methodologies aimed at guaranteeing the precision, consistency, and dependability of data within BI infrastructures.
– Optimize Metadata Management: Employ effective metadata management strategies to improve the discoverability and usability of data resources.
– Harness the Power of Data Catalogs: Utilize data catalogs to systematically organize and oversee data assets, enhancing their accessibility and management.
– Enforce Data Classification and Security Protocols: Establish robust data classification and security frameworks to safeguard sensitive information and ensure compliance with relevant regulations.
Course Curriculum
- Overview of data governance principles
- Importance of data governance in BI
- Techniques for ensuring data accuracy and consistency
- Data cleansing and validation methods
- Role of metadata in BI
- Tools and practices for effective metadata management
- Implementing data catalogs for asset management
- Data classification strategies
- Data protection measures
- Access control frameworks
- Privacy laws and regulations
- Compliance strategies
- MDM concepts and methodologies
- Implementing MDM in BI environments
- Understanding data-related regulations
- Ensuring compliance in BI operations
Training Features
Interactive Lectures
Engaging sessions led by industry experts.
Project-Based Curriculum
Practical tasks to apply theoretical knowledge.
Case Studies
Analysis of real-world BI data governance challenges.
Discussion Forums
Collaborative platforms for peer interaction and knowledge sharing.
Assessments
Quizzes and assignments to evaluate understanding.
Certification
A globally recognized certificate upon completing the course.
