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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 organizationu2014the magic is in their differences and how they work together. It is key to understand that governance is part of the overall man
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vs DATA MANAGEMENT DATA GOVERNANCE A REALISTIC COMPARISON © Copyright 2024. United States Data Science Institute. All Rights Reserved “ Innovative Global Leader, and Author We are moving slowly into an era where the starting point, big data not the is end. - Peral Zhu, © Copyright 2024. United States Data Science Institute. All Rights Reserved 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 Governance Architecture 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 © Copyright 2024. United States Data Science Institute. All Rights Reserved 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 Document, Record & Content Management Data Quality 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. INTERDEPENDENCE Effective data governance requires strong data management practices, and vice versa. © Copyright 2024. United States Data Science Institute. All Rights Reserved BENEFITS OF STRONG DATA MANAGEMENT AND GOVERNANCE Higher Customer Satisfaction Improved Decision Making Operational Efficiency Reduced Risk of Data Breaches Better Regulatory Compliance © Copyright 2024. United States Data Science Institute. All Rights Reserved data management While data governance is about the strategic framework that ensures data is used effectively and responsibly. is about the technical aspects of handling data, MASTER CORE DATA MANAGEMENT NUANCES WITH TOP USDSI CERTIFICATIONS ® © Copyright 2024. United States Data Science Institute. All Rights Reserved