DATA MANAGEMENT vs DATA GOVERNANCE- A REALISTIC COMPARISON

vs

DATA MANAGEMENT

DATA GOVERNANCE

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We are moving slowly into an era where big data is the starting point, not the end. - Peral Zhu, Innovative Global Leader, and Author

DATA MANAGEMENT Data management is all about the technical implementation of data processes and is tasked with data collection, storage, retrieval, and analysis.

Integration Deﬁnition

Warehousing

Architecture

Governance

DATA MANAGEMENT

Database system

Transformation

Master Data & Metadata Management 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. © Copyright 2024. United States Data Science Institute. All Rights Reserved

GOALS IDENTIFIED DATA MANAGEMENT

DATA GOVERNANCE

Optimizes data storage and retrieval

Establishes accountability for data management

Improves operational efﬁciency

Compliance and risk management

Supports decision-making with accurate data

Ampliﬁes data worth and trust

DATA GOVERNANCE Data governance targets strategic oversight of data; while performing tasks such as establishing policies, standards, and procedures. Reference & Master Data Management

Metadata Management

Data Security

Database Management

Data Architecture

DATA GOVERNANCE

Data Quality Management

Document, Record & Content Management

Data Warehousing & Business Intelligence Source: Acceldata

Core Facets: 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. © Copyright 2024. United States Data Science Institute. All Rights Reserved

THE TWO-WAY BOND COMPLEMENTS Data management executes the strategies deﬁned by data governance.

BENEFITS OF STRONG DATA MANAGEMENT AND GOVERNANCE

Improved Decision Making

Operational Efﬁciency

Higher Customer Satisfaction

Reduced Risk of Data Breaches

Better Regulatory Compliance

While data management is about the technical aspects of handling data, data governance is about the strategic framework that ensures data is used effectively and responsibly.

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DATA MANAGEMENT vs DATA GOVERNANCE- A REALISTIC COMPARISON

Published on Oct 25, 2024

Mamta Mohapatra

Data governance puts all the policies and procedures in place, and data management executes all these pieces to compile and use the data for decision-making. Enterprise data management enables the execution and enforcement of policies and processes that data governance creates. While there are some similarities between data management and data governance, primarily that they are both important to the organization and structure of how data is used in your organization—the magic is in their differences and how they work together. It is key to understand that governance is part of the overall management of data. Data governance without execution is just documentation. Read on to explore the insightful differentials!