Data Governance and Quality PDF

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Jinver C. Loquinario, Kyla D. Guela, Ronel A. Jazareno, John Patrick M. Gleabo

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data governance data quality data integrity data stewardship

Summary

This presentation discusses data governance and quality, focusing on data integrity, stewardship, and regulatory compliance. It details the importance of data integrity throughout the data lifecycle and introduces different types of data integrity. It also covers the role of data stewardship in managing data assets and regulatory compliance with relevant laws and regulations.

Full Transcript

Data Governance And Quality GROUP 2 SUBTOPIC: DATA INTEGRITY DATA STEWARDSHIP REGULATORY COMPLIANCE INTRODUCTION Overview Organizations depend more and more on massive amounts of data in today's data-driven environment in order to promote innovation, make str...

Data Governance And Quality GROUP 2 SUBTOPIC: DATA INTEGRITY DATA STEWARDSHIP REGULATORY COMPLIANCE INTRODUCTION Overview Organizations depend more and more on massive amounts of data in today's data-driven environment in order to promote innovation, make strategic decisions, and increase operational effectiveness. Effective quality control and data governance are therefore now essential for guaranteeing that the data being utilized is reliable, safe, and complies with applicable laws. In order to uphold strict standards of data quality, this research explores three important subtopics: Data Integrity, Data Stewardship, and Regulatory Compliance. DATA INTEGRITY Integrity of Data the reliability, completeness, and accuracy of data across the course of its lifecycle are referred to as data integrity. Data integrity is maintained throughout its lifecycle, from the moment of creation to its final archiving or deletion, using a set of procedures, guidelines, and standards. Reputational harm, financial losses, and poor decision-making can arise from incomplete insights derived from poor data integrity. The main types of DATA INTEGRITY Physical Integrity Protects data during storage, retrieval and management from physical issues. Entity Integrity Ensures each row in a database table is uniquely identifiable. Referential Integrity Ensures consistency across data relationships in databases. Domain Integrity Ensures data entries fall within defined valid values and conditions. User-defined Integrity Unique rules defined by users to meet specific business requirements. DATA STEWARDSHIP Data stewardship is a collection of functions that ensure all data assets of an organization are accessible, usable, safe, and trusted. It involves managing and overseeing all aspects of the data lifecycle from creation, collection, preparation, and usage to data storage and deletion. The role of data stewardship is to provide customers with high-quality data that can be easily accessed consistently. Why is Data Stewardship important? A data steward manages and coordinates every aspect that affects the quality and validity of data. This task becomes particularly important when dealing with mission-critical or sensitive customer data that needs to be protected from falling into the wrong hands. As the importance of data as an asset continues to increase exponentially, organizations are under mounting pressure to ensure data safety, security, consistency, and quality. Data stewards bring authority and accountability to the table and take ownership of organizational data. Employees cannot log in and retrieve data without permission from the data steward. Data stewardship is a position of trust wherein both technical teams and business professionals in a company must have the utmost trust in their data steward. They are the link between data professionals and the users of the data. Stewardship ensures that the data has a clear owner or owners who are responsible for keeping it in good working order. This usually involves establishing a set of policies, procedures and best practices around how the data is stored and used so that it remains as accurate as possible over time. REGULATORY COMPLIANCE Regulatory compliance is an organization's adherence to laws, regulations, guidelines and specifications relevant to its business processes. Violations of regulatory compliance often result in legal punishment, including federal fines. Examples of regulatory compliance laws and regulations include the Payment Card Industry Data Security Standard (PCI DSS), Health Insurance Portability and Accountability Act (HIPAA), Federal Information Security Management Act (FISMA), Sarbanes-Oxley Act (SOX), EU's General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). THANK YOU! JINVER C. LOQUINARIO K Y L A D. G U E L A RONEL A. JAZARENO J O H N PA T R I C K M. G L E A B O

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