Data Governance: Foundation

Name: Data Governance: Foundation
Rating: 4.7 (2 reviews)

Data Governance: Strategies, Compliance, and Best Practices for the Modern Enterprise

Created byJai Rao Bannigol

Last updated 2/2024

English

What you'll learn

Understand the Core Concepts of Data Governance
Understand the key business drivers behind data governance and articulate its value proposition to stakeholder
Grasp essential concepts that underpin data governance frameworks.
Grasp essential concepts that underpin data governance frameworks
Measure the impact of data governance initiatives using key metrics.
Develop and maintain a business glossary to ensure uniform data understanding across the organization.
Bonus : Current State Assessment Toolkit to evaluate your organization’s data governance maturity.
Bonus : Sample Data Management Policy to provide a template for developing your own policy
Bonus : Roles and Responsibilities outline for Data Stewards and Data Governance team members.
Bonus : 25 Top Interview Questions to prepare for job interviews in the field of data governance.
Bonus : Questions to help you prepare for certification exams.

Course content

6 sections • 32 lectures • 2h 2m total length

Introduction - Data Governance2:46
Unlocking the Potential with Data Governance
Understanding the Role and Reach of Data Governance
Building the Foundation with Data Governance.
Data: The New Oil of Business Innovation.
Cultural Evolution: Embracing Data Management Change.
1.1 Business Drivers7:39
Regulatory Compliance and Data Governance
The Unseen Backbone of Business Initiatives.
Harmonizing Strategy with Data.
Guardians of Data Integrity.
A Never-Ending Path to Data Excellence.
1.2 Goals and Principles3:57
1.3 Essential Concepts1:45
Data Governance - Basics

2.1 Define Data Governance for the Organization2:06
Define Data Governance for the Organization
Data Governance isn't a standalone initiative
It's not just about a single department making decisions in a vacuum
Data Governance to truly make an impact, it must be embraced across the entire enterprise
2.1 Define Data Governance for the Organization
2.2 Perform Readiness Assessment2:02
2.2 Perform Readiness Assessment
2.3 Perform Discovery and Business Alignment3:42
2.3 Perform Discovery and Business Alignment
2.4 Develop Organizational Touch Points6:17
2.4 Develop Organizational Touch Points
2.5 Develop Data Governance Strategy3:49
2.6 Define the DG Operating Framework4:38
2.7 Develop Goals, Principles, and Policies4:20
2.8 Underwrite Data Management Projects4:05
2.9 Engage Change Management4:28
2.10 Engage in Issue Management3:57
2.11 Assess Regulatory Compliance Requirements7:04
2.12 Implement Data Governance4:37
2.13 Sponsor Data Standards and Procedures5:14
2.14 Develop a Business Glossary4:39
2.15 Coordinate with Architecture Groups4:34
2.16 Sponsor Data Asset Valuation4:00
2.17 Embed Data Governance4:50
Embed Data Governance

Data Management Policy1:17
Introduction (Page 2): An initial overview setting the stage for the detailed discussions that follow.
Goals (Page 2): Outlines the primary aims of the document, including both policy and strategic goals.
Policy Goals (Page 2): Specifies the overarching ambitions guiding the policy's development.
Strategic Goals Linked to the Policy (Page 2): Details the strategic intentions associated with the policy, providing a roadmap for its implementation.
Strategic Objectives Linked to the Policy (Page 3): Expands on the strategic goals by defining specific objectives that aim to operationalize the policy's ambitions.
Scope (Page 3): Defines the extent and limitations of the policy, ensuring clarity on its applicability.
Policy Category (Page 3): Identifies the classification of the policy within the broader organizational framework.
Risks (Page 4): Discusses potential challenges and risks associated with the policy and its implementation.
View and Publish Permissions (Page 4): Specifies the permissions required for accessing and disseminating the policy document.
Definitions (Page 4): Provides clear and concise definitions of key terms and concepts used throughout the document, ensuring a common understanding among all stakeholders.
Connections and Policies (Pages 7-8): Explores the relationships and interactions within the framework.
Horizontal and Vertical Connections (Page 7): Examines how different elements of the policy interact across various levels and sectors.
Vertical Connections (Page 7): Details the hierarchical relationships and flows of information.
Horizontal Connections (Page 7): Describes the collaborative and cross-functional interactions.
Policies and Processes (Pages 7-8): Outlines the specific policies and processes that underpin the framework, providing guidance on implementation and adherence.
High-Level Roles and Responsibilities (Page 8): Identifies key stakeholders and their duties within the policy framework, ensuring accountability and efficient governance.
Policy Clauses (Page 11): Articulates the specific provisions of the policy, establishing clear expectations and requirements.
Performance Indicators (Page 13): Sets out the criteria for evaluating the effectiveness and impact of the policy, facilitating ongoing assessment and improvement.
Data Governance Interview Questions & Answers0:01
Data Governance - Current State Assessment0:01

Requirements

No Programming experience required.
Familiarity with business and IT processes within an organization
Interest in learning about the strategic and operational aspects of data governance

Description

This comprehensive Data Governance course is crafted to equip you with the essential knowledge, strategies, and practices necessary to manage, safeguard, and ensure compliance of data across modern enterprises. In today's data-driven landscape, the ability to effectively govern data is not just a skill—it's a critical necessity. This course aims to bridge the gap between theoretical concepts and real-world application, ensuring you're prepared to meet the demands of today's complex data environments.

What You Will Learn:

Foundational Principles: Gain a deep understanding of data governance's core principles, including data quality, data management, and data policy formulation.
Strategic Implementation: Learn how to design and implement a data governance framework that aligns with organizational goals and industry standards.
Compliance and Risk Management: Navigate through the maze of data protection laws (like GDPR and CCPA) and learn risk management strategies to ensure compliance.
Technology and Tools: Get acquainted with the latest tools and technologies that support data governance initiatives, including data catalogs and metadata management solutions.
Best Practices: Study best practices from industry case studies to understand successful data governance strategies.

Who Should Take This Course:

Data Management Professionals seeking to enhance their expertise in data governance.
IT Managers and CIOs looking to implement or improve data governance in their organizations.
Compliance Officers and Legal Professionals aiming to understand data governance in the context of regulatory compliance.
Business Analysts and Decision Makers who rely on data integrity for strategic planning.
Students and Recent Graduates wanting to break into the field of data governance.

By the end of this course, you will possess a comprehensive understanding of data governance and be equipped with the skills needed to implement effective data governance strategies within your organization. Whether you're looking to advance your career, shift to a data-focused role, or ensure that your organization's data is managed securely and efficiently, this course is your first step toward achieving those goals. Join us to transform your understanding of data governance and take your skills to the next level

Who this course is for:

Aspiring data Management/Governance professionals seeking to establish a foothold in the field.
Data stewards and members of data governance frameworks who want to deepen their knowledge.
IT professionals and business analysts looking to understand the impact of data governance on business outcomes.
Compliance officers and regulatory professionals needing to understand data governance in the context of regulatory requirements.
C-Level Executives, Organizational leaders and decision-makers aiming to implement or improve data governance in their operations.
Anyone preparing for data governance certification exams, such as the CDMP (Certified Data Management Professional).

Data Governance: Foundation

What you'll learn

Explore related topics

Course content

Introduction4 lectures • 16min

Data Governance Activities17 lectures • 1hr 14min

3.Tools and Techniques5 lectures • 19min

4.Implementation Guidelines2 lectures • 8min

5.Metrics1 lecture • 3min

Bonus - Material3 lectures • 1min

Requirements

Description

Who this course is for: