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Data Governance and Management in Business

In the contemporary landscape characterized by extensive data proliferation, the establishment of effective data governance and management practices.

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Certificate :

After Completion

Start Date :

10-Jan-2025

Duration :

30 Days

Course fee :

$150

COURSE DESCRIPTION:

– In the contemporary landscape characterized by extensive data proliferation, the establishment of effective data governance and management practices is essential for maintaining data integrity, security, and adherence to regulatory standards.
– This course provides participants with the necessary expertise and competencies to develop and implement comprehensive data governance frameworks, ensuring the efficient management of organizational data.
– Participants will explore best practices related to data stewardship, compliance with regulations, and the alignment of data strategies with overarching business goals.
– Designed for both data professionals and business executives, this course aims to empower individuals to leverage data as a valuable strategic resource.
– By the end of the course, attendees will be equipped to transform data into a significant asset that drives informed decision-making and enhances organizational performance.

CERTIFICATION:

  1. Participants who complete the course will receive a Certificate in Data Governance and Management, recognizing their ability to implement and oversee data governance programs and practices.

LEARNING OUTCOMES:

By the conclusion of the course, participants will possess the skills to:

– Comprehend the fundamental concepts of data governance and its significance within the business context.
– Design and execute comprehensive data governance frameworks tailored to organizational needs.
– Define and assign specific roles and responsibilities for data stewardship to ensure accountability.
– Implement policies and procedures aimed at maintaining high standards of data quality.
– Ensure that data governance practices are in compliance with relevant regulatory standards, such as GDPR and HIPAA.
– Effectively oversee the management of metadata, data lineage, and data catalogs to enhance data usability.
– Formulate robust strategies to safeguard enterprise data security and uphold privacy standards.
– Continuously monitor and assess the effectiveness of data governance initiatives to drive improvements.

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Course Curriculum

Introduction to Data Governance
  1. What is data governance? Importance in modern businesses
  2. The relationship between data governance and data management
  3. Key components of a data governance framework: People, processes, and technology
  4. Data governance maturity models
Developing a Data Governance Framework
  1. Identifying business objectives and aligning them with data governance goals
  2. Building a data governance structure: Committees, roles, and responsibilities
  3. Establishing data policies, standards, and guidelines
  4. Practical tools for data governance implementation
Data Stewardship
  1. Role of a data steward in an organization
  2. Assigning and managing data ownership
  3. Best practices for managing data stewardship programs
  4. Case studies: Successful data stewardship in action
Data Quality Management
  1. Dimensions of data quality: Accuracy, completeness, consistency, and timeliness
  2. Tools and techniques for data quality assessment
  3. Implementing data profiling and cleansing processes
  4. Monitoring and maintaining data quality over time
Regulatory Compliance and Data Privacy
  1. Overview of global data regulations: GDPR, CCPA, HIPAA, and others
  2. Steps to ensure compliance with regulatory requirements
  3. Data privacy management: Policies, anonymization, and encryption
  4. Auditing and reporting for compliance
Metadata Management and Data Lineage
  1. What is metadata? Types and importance
  2. Creating and managing a data catalog
  3. Data lineage: Tracking data flows and transformations
  4. Tools for metadata management (e.g., Collibra, Alation)
Case Studies and Capstone Project
  1. Real-world examples of data governance success and failure
  2. Capstone project:
    • Develop a data governance framework for a hypothetical organization
    • Address data quality, compliance, and stewardship issues
    • Present a comprehensive governance strategy

Training Features

Video Tutorials

In-depth lectures covering theoretical and practical aspects of data governance.

Interactive Exercises

Real-world projects designed to build a strong portfolio.

Downloadable Resources

Governance templates, compliance checklists, and data quality tools.

Live Q&A Sessions

Weekly discussions with industry experts for guidance and insights.

Capstone Project

Apply course concepts to design a complete data governance strategy.

Certification

A globally recognized certificate upon completing the course.

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