The document discusses the distinction between data management and data governance, emphasizing that data management focuses on the technical implementation of data processes, while data governance provides a strategic framework for responsible data use. It highlights the importance of data quality, security, and lifecycle management in data management, and outlines the role of policies and oversight in data governance. The document also notes that effective data governance relies on strong data management practices, and they work interdependently to enhance decision-making and compliance.

1. “
DATA MANAGEMENT DATA GOVERNANCE
vs
A REALISTIC COMPARISON
© Copyright 2024. United States Data Science Institute. All Rights Reserved
© Copyright 2024. United States Data Science Institute. All Rights Reserved
We are moving slowly
into an era where is
big data
the not the
starting point, end.
© Copyright 2024. United States Data Science Institute. All Rights Reserved
Data management is all about the technical implementation of data processes
and is tasked with data collection, storage, retrieval, and analysis.
DATA MANAGEMENT
- Peral Zhu,
Innovative Global Leader, and Author
DATA
MANAGEMENT
Governance
Master Data &
Metadata Management
Database system
Architecture
Integration Definition Warehousing
Transformation
Source: Acceldata
Core Facets:
Data Storage
Methods and technologies for data storage (e.g., databases, cloud).
Data Integration
Combining data from different sources for a unified view.
Tools
Databases, data warehouses, data mining tools.
Responsibilities
Data quality, security, and availability.
Data Quality
Ensuring accuracy, completeness, and reliability of data.
Data Security
Protecting data from unauthorized access and breaches.
Data Lifecycle Management
Managing data from creation to deletion.
GOALS IDENTIFIED
© Copyright 2024. United States Data Science Institute. All Rights Reserved
DATA MANAGEMENT DATA GOVERNANCE
Optimizes data storage
and retrieval
Improves operational
efficiency
Supports decision-making
with accurate data
Establishes accountability
for data management
Compliance and risk
management
Amplifies data worth
and trust
© Copyright 2024. United States Data Science Institute. All Rights Reserved
Data governance targets strategic oversight of data; while performing tasks such
as establishing policies, standards, and procedures.
DATA GOVERNANCE
DATA
GOVERNANCE
Data
Architecture
Data Warehousing
& Business Intelligence
Data Quality
Management
Database
Management
Metadata
Management Data Security
Document, Record &
Content Management
Source: Acceldata
Core Facets:
Reference &
Master Data Management
THE TWO-WAY BOND
© Copyright 2024. United States Data Science Institute. All Rights Reserved
While is about the technical aspects of handling data,
data management
data governance is about the strategic framework that ensures data is used
effectively and responsibly.
© Copyright 2024. United States Data Science Institute. All Rights Reserved
© Copyright 2024. United States Data Science Institute. All Rights Reserved
MASTER CORE
DATA MANAGEMENT NUANCES
WITH
®
TOP USDSI
CERTIFICATIONS
BENEFITS OF STRONG
DATA MANAGEMENT AND GOVERNANCE
Improved
Decision
Making
Operational
Efficiency
Higher
Customer
Satisfaction
Reduced
Risk of Data
Breaches
Better
Regulatory
Compliance
Policies & Standards
Rules for data handling and usage.
Roles & Responsibilities
Designating data stewards and custodians.
Tools
Governance frameworks, data catalogs, and data dictionaries.
Responsibilities
Data ownership, stewardship, and compliance.
Compliance
Ensuring adherence to regulations (e.g., GDPR, HIPAA).
Data Stewardship
Managing data assets and quality across the organization.
Monitoring & Auditing
Regular checks to ensure data governance policies are followed.
COMPLEMENTS
Data management executes the strategies defined by
data governance.
INTERDEPENDENCE
Effective data governance requires strong data
management practices, and vice versa.