Going Digital Guide to Data Governance Policy Making

Going Digital Guide to Data Governance Policy Making
Author: OECD
Publisher: OECD Publishing
Total Pages: 70
Release: 2022-12-14
Genre:
ISBN: 9264849955

The ubiquitous collection, use, and sharing of data that power today’s economies challenge existing governance frameworks and policy approaches. Drawing on the extensive research and analysis conducted at the OECD on data governance, on countries’ policies and practices, and the OECD legal instruments in this area, the Going Digital Guide to Data Governance Policy Making supports policy makers in navigating three fundamental policy tensions that characterise efforts to develop, revise, and implement policies for data governance across policy domains in the digital age.

Going Digital to Advance Data Governance for Growth and Well-being

Going Digital to Advance Data Governance for Growth and Well-being
Author: OECD
Publisher: OECD Publishing
Total Pages: 47
Release: 2022-12-14
Genre:
ISBN: 9264649824

Data are generated wherever digital technologies are deployed namely, in almost every part of modern life. Using these data can empower individuals, drive innovation, enable new digital products and improve policy making and public service delivery.

Data Governance: The Definitive Guide

Data Governance: The Definitive Guide
Author: Evren Eryurek
Publisher: "O'Reilly Media, Inc."
Total Pages: 254
Release: 2021-03-08
Genre: Business & Economics
ISBN: 1492063460

As your company moves data to the cloud, you need to consider a comprehensive approach to data governance, along with well-defined and agreed-upon policies to ensure you meet compliance. Data governance incorporates the ways that people, processes, and technology work together to support business efficiency. With this practical guide, chief information, data, and security officers will learn how to effectively implement and scale data governance throughout their organizations. You'll explore how to create a strategy and tooling to support the democratization of data and governance principles. Through good data governance, you can inspire customer trust, enable your organization to extract more value from data, and generate more-competitive offerings and improvements in customer experience. This book shows you how. Enable auditable legal and regulatory compliance with defined and agreed-upon data policies Employ better risk management Establish control and maintain visibility into your company's data assets, providing a competitive advantage Drive top-line revenue and cost savings when developing new products and services Implement your organization's people, processes, and tools to operationalize data trustworthiness.

The DAMA Dictionary of Data Management

The DAMA Dictionary of Data Management
Author: Dama International
Publisher:
Total Pages: 0
Release: 2011
Genre: Business & Economics
ISBN: 9781935504122

A glossary of over 2,000 terms which provides a common data management vocabulary for IT and Business professionals, and is a companion to the DAMA Data Management Body of Knowledge (DAMA-DMBOK). Topics include: Analytics & Data Mining Architecture Artificial Intelligence Business Analysis DAMA & Professional Development Databases & Database Design Database Administration Data Governance & Stewardship Data Management Data Modeling Data Movement & Integration Data Quality Management Data Security Management Data Warehousing & Business Intelligence Document, Record & Content Management Finance & Accounting Geospatial Data Knowledge Management Marketing & Customer Relationship Management Meta-Data Management Multi-dimensional & OLAP Normalization Object-Orientation Parallel Database Processing Planning Process Management Project Management Reference & Master Data Management Semantic Modeling Software Development Standards Organizations Structured Query Language (SQL) XML Development

Non-Invasive Data Governance

Non-Invasive Data Governance
Author: Robert S. Seiner
Publisher: Technics Publications
Total Pages: 147
Release: 2014-09-01
Genre: Computers
ISBN: 1634620453

Data-governance programs focus on authority and accountability for the management of data as a valued organizational asset. Data Governance should not be about command-and-control, yet at times could become invasive or threatening to the work, people and culture of an organization. Non-Invasive Data Governance™ focuses on formalizing existing accountability for the management of data and improving formal communications, protection, and quality efforts through effective stewarding of data resources. Non-Invasive Data Governance will provide you with a complete set of tools to help you deliver a successful data governance program. Learn how: • Steward responsibilities can be identified and recognized, formalized, and engaged according to their existing responsibility rather than being assigned or handed to people as more work. • Governance of information can be applied to existing policies, standard operating procedures, practices, and methodologies, rather than being introduced or emphasized as new processes or methods. • Governance of information can support all data integration, risk management, business intelligence and master data management activities rather than imposing inconsistent rigor to these initiatives. • A practical and non-threatening approach can be applied to governing information and promoting stewardship of data as a cross-organization asset. • Best practices and key concepts of this non-threatening approach can be communicated effectively to leverage strengths and address opportunities to improve.

DAMA-DMBOK

DAMA-DMBOK
Author: Dama International
Publisher:
Total Pages: 628
Release: 2017
Genre: Database management
ISBN: 9781634622349

Defining a set of guiding principles for data management and describing how these principles can be applied within data management functional areas; Providing a functional framework for the implementation of enterprise data management practices; including widely adopted practices, methods and techniques, functions, roles, deliverables and metrics; Establishing a common vocabulary for data management concepts and serving as the basis for best practices for data management professionals. DAMA-DMBOK2 provides data management and IT professionals, executives, knowledge workers, educators, and researchers with a framework to manage their data and mature their information infrastructure, based on these principles: Data is an asset with unique properties; The value of data can be and should be expressed in economic terms; Managing data means managing the quality of data; It takes metadata to manage data; It takes planning to manage data; Data management is cross-functional and requires a range of skills and expertise; Data management requires an enterprise perspective; Data management must account for a range of perspectives; Data management is data lifecycle management; Different types of data have different lifecycle requirements; Managing data includes managing risks associated with data; Data management requirements must drive information technology decisions; Effective data management requires leadership commitment.

Data Governance

Data Governance
Author: John Ladley
Publisher: Academic Press
Total Pages: 352
Release: 2019-11-08
Genre: Technology & Engineering
ISBN: 0128158328

Managing data continues to grow as a necessity for modern organizations. There are seemingly infinite opportunities for organic growth, reduction of costs, and creation of new products and services. It has become apparent that none of these opportunities can happen smoothly without data governance. The cost of exponential data growth and privacy / security concerns are becoming burdensome. Organizations will encounter unexpected consequences in new sources of risk. The solution to these challenges is also data governance; ensuring balance between risk and opportunity. Data Governance, Second Edition, is for any executive, manager or data professional who needs to understand or implement a data governance program. It is required to ensure consistent, accurate and reliable data across their organization. This book offers an overview of why data governance is needed, how to design, initiate, and execute a program and how to keep the program sustainable. This valuable resource provides comprehensive guidance to beginning professionals, managers or analysts looking to improve their processes, and advanced students in Data Management and related courses. With the provided framework and case studies all professionals in the data governance field will gain key insights into launching successful and money-saving data governance program. - Incorporates industry changes, lessons learned and new approaches - Explores various ways in which data analysts and managers can ensure consistent, accurate and reliable data across their organizations - Includes new case studies which detail real-world situations - Explores all of the capabilities an organization must adopt to become data driven - Provides guidance on various approaches to data governance, to determine whether an organization should be low profile, central controlled, agile, or traditional - Provides guidance on using technology and separating vendor hype from sincere delivery of necessary capabilities - Offers readers insights into how their organizations can improve the value of their data, through data quality, data strategy and data literacy - Provides up to 75% brand-new content compared to the first edition

Governance of Technologies in Industrie 4.0 and Society 5.0

Governance of Technologies in Industrie 4.0 and Society 5.0
Author: Azhar Zia-ur-Rehman
Publisher: AuthorHouse
Total Pages: 265
Release: 2024-05-29
Genre: Business & Economics
ISBN:

This book is the sequel to the author’s previous book titled “Technology Governance – Concepts and Practices” (ISBN 978-1-5246-7815-9) – which was a pioneering book on the subject. Technology governance has during these years become even more important due to the introduction of new technologies and the proliferation of artificial intelligence. This book takes the concept further in the context of the fourth industrial revolution (Industrie 4.0) and Society 5.0. The emerging domain of governance of ethics has been introduced considering concerns in the use of artificial intelligence. New methodologies have been introduced for transformation, technology governance, data governance, and process documentation. These are all based on international standards and are enhancements to accepted methodologies. This book is expected to take the domain of technology governance further towards maturity. Let me express my appreciation for your accomplishment in writing a book on the Fourth Industrial Revolution and Society 5.0 I am confident that the book will contribute to the contemporary debate on how to succeed and sustain in the era of a technological revolution that is fundamentally altering the way we exist, operate, and interact with each other, and is a manifestation of the dedication on your part. Dr. Arif Alvi President of Pakistan