Enterprise Data Governance
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Enterprise Data At Huawei
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Author : Yun Ma
language : en
Publisher: Springer Nature
Release Date : 2021-11-22
Enterprise Data At Huawei written by Yun Ma and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-22 with Business & Economics categories.
This book systematically introduces the data governance and digital transformation at Huawei, from the perspectives of technology, process, management, and so on. Huawei is a large global enterprise engaging in multiple types of business in over 170 countries and regions. Its differentiated operation is supported by an enterprise data foundation and corresponding data governance methods. With valuable experience, methodology, standards, solutions, and case studies on data governance and digital transformation, enterprise data at Huawei is ideal for readers to learn and apply, as well as to get an idea of the digital transformation journey at Huawei. This book is organized into four parts and ten chapters. Based on the understanding of “the cognitive world of machines,” the book proposes the prospects for the future of data governance, as well as the imaginations about AI-based governance, data sovereignty, and building a data ecosystem.
Enterprise Data Governance A Complete Guide
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Author : Gerardus Blokdyk
language : en
Publisher: 5starcooks
Release Date : 2018-08-05
Enterprise Data Governance A Complete Guide written by Gerardus Blokdyk and has been published by 5starcooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-05 with categories.
Why should we adopt a Enterprise Data Governance framework? Do we all define Enterprise Data Governance in the same way? Are we Assessing Enterprise Data Governance and Risk? Does Enterprise Data Governance analysis show the relationships among important Enterprise Data Governance factors? Is Enterprise Data Governance currently on schedule according to the plan? This extraordinary Enterprise Data Governance self-assessment will make you the assured Enterprise Data Governance domain master by revealing just what you need to know to be fluent and ready for any Enterprise Data Governance challenge. How do I reduce the effort in the Enterprise Data Governance work to be done to get problems solved? How can I ensure that plans of action include every Enterprise Data Governance task and that every Enterprise Data Governance outcome is in place? How will I save time investigating strategic and tactical options and ensuring Enterprise Data Governance costs are low? How can I deliver tailored Enterprise Data Governance advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Enterprise Data Governance essentials are covered, from every angle: the Enterprise Data Governance self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Enterprise Data Governance outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Enterprise Data Governance practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Enterprise Data Governance are maximized with professional results. Your purchase includes access details to the Enterprise Data Governance self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard, and... - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation ...plus an extra, special, resource that helps you with project managing. INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.
Enterprise Data Governance A Complete Guide 2020 Edition
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Author : Gerardus Blokdyk
language : en
Publisher:
Release Date :
Enterprise Data Governance A Complete Guide 2020 Edition written by Gerardus Blokdyk and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Data Governance Tools
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Author : Sunil Soares
language : en
Publisher: MC Press
Release Date : 2015-02
Data Governance Tools written by Sunil Soares and has been published by MC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-02 with Database management categories.
Data governance programs often start off using programs such as Microsoft Excel and Microsoft SharePoint to document and share data governance artifacts. But these tools often lack critical functionality. Meanwhile, vendors have matured their data governance offerings to the extent that today's organizations need to consider tools as a critical component of their data governance programs. In this book, data governance expert Sunil Soares reviews the Enterprise Data Management (EDM) reference architecture and discusses key data governance tasks that can be automated by tools for business glossa.
Enterprise Data Governance
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Author : Pierre Bonnet
language : en
Publisher: John Wiley & Sons
Release Date : 2013-03-04
Enterprise Data Governance written by Pierre Bonnet and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-04 with Computers categories.
In an increasingly digital economy, mastering the quality of data is an increasingly vital yet still, in most organizations, a considerable task. The necessity of better governance and reinforcement of international rules and regulatory or oversight structures (Sarbanes Oxley, Basel II, Solvency II, IAS-IFRS, etc.) imposes on enterprises the need for greater transparency and better traceability of their data. All the stakeholders in a company have a role to play and great benefit to derive from the overall goals here, but will invariably turn towards their IT department in search of the answers. However, the majority of IT systems that have been developed within businesses are overly complex, badly adapted, and in many cases obsolete; these systems have often become a source of data or process fragility for the business. It is in this context that the management of ‘reference and master data’ or Master Data Management (MDM) and semantic modeling can intervene in order to straighten out the management of data in a forward-looking and sustainable manner. This book shows how company executives and IT managers can take these new challenges, as well as the advantages of using reference and master data management, into account in answering questions such as: Which data governance functions are available? How can IT be better aligned with business regulations? What is the return on investment? How can we assess intangible IT assets and data? What are the principles of semantic modeling? What is the MDM technical architecture? In these ways they will be better able to deliver on their responsibilities to their organizations, and position them for growth and robust data management and integrity in the future.
Enterprise Data Governance A Complete Guide 2019 Edition
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Author : Gerardus Blokdyk
language : en
Publisher: 5starcooks
Release Date : 2019-06-15
Enterprise Data Governance A Complete Guide 2019 Edition written by Gerardus Blokdyk and has been published by 5starcooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-15 with categories.
How to govern its use and maintenance? What is the value of standardization to MDM? What process should be implemented to review and approve requests for information? How is the broader recognition of the importance of data governance changing things from an implementation and operational standpoint? What is your existing decision-making and oversight process? Defining, designing, creating, and implementing a process to solve a challenge or meet an objective is the most valuable role... In EVERY group, company, organization and department. Unless you are talking a one-time, single-use project, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Enterprise Data Governance investments work better. This Enterprise Data Governance All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Enterprise Data Governance Self-Assessment. Featuring 701 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Enterprise Data Governance improvements can be made. In using the questions you will be better able to: - diagnose Enterprise Data Governance projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Enterprise Data Governance and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Enterprise Data Governance Scorecard, you will develop a clear picture of which Enterprise Data Governance areas need attention. Your purchase includes access details to the Enterprise Data Governance self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Enterprise Data Governance Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.
Master Data Management And Data Governance 2 E
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Author : Alex Berson
language : en
Publisher: McGraw Hill Professional
Release Date : 2010-12-06
Master Data Management And Data Governance 2 E written by Alex Berson and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-12-06 with Computers categories.
The latest techniques for building a customer-focused enterprise environment "The authors have appreciated that MDM is a complex multidimensional area, and have set out to cover each of these dimensions in sufficient detail to provide adequate practical guidance to anyone implementing MDM. While this necessarily makes the book rather long, it means that the authors achieve a comprehensive treatment of MDM that is lacking in previous works." -- Malcolm Chisholm, Ph.D., President, AskGet.com Consulting, Inc. Regain control of your master data and maintain a master-entity-centric enterprise data framework using the detailed information in this authoritative guide. Master Data Management and Data Governance, Second Edition provides up-to-date coverage of the most current architecture and technology views and system development and management methods. Discover how to construct an MDM business case and roadmap, build accurate models, deploy data hubs, and implement layered security policies. Legacy system integration, cross-industry challenges, and regulatory compliance are also covered in this comprehensive volume. Plan and implement enterprise-scale MDM and Data Governance solutions Develop master data model Identify, match, and link master records for various domains through entity resolution Improve efficiency and maximize integration using SOA and Web services Ensure compliance with local, state, federal, and international regulations Handle security using authentication, authorization, roles, entitlements, and encryption Defend against identity theft, data compromise, spyware attack, and worm infection Synchronize components and test data quality and system performance
Data Governance
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Author : John Ladley
language : en
Publisher: Academic Press
Release Date : 2019-11-08
Data Governance written by John Ladley and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-08 with Technology & Engineering categories.
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
The Data Governance Imperative
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Author : Steve Sarsfield
language : en
Publisher: IT Governance Publishing
Release Date : 2009-04-23
The Data Governance Imperative written by Steve Sarsfield and has been published by IT Governance Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-04-23 with Business & Economics categories.
This practical book covers both strategies and tactics around managing a data governance initiative to help make the most of your data.
Data Governance Success
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Author : Rupa Mahanti
language : en
Publisher: Springer Nature
Release Date : 2021-12-13
Data Governance Success written by Rupa Mahanti and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-13 with Business & Economics categories.
While good data is an enterprise asset, bad data is an enterprise liability. Data governance enables you to effectively and proactively manage data assets throughout the enterprise by providing guidance in the form of policies, standards, processes and rules and defining roles and responsibilities outlining who will do what, with respect to data. While implementing data governance is not rocket science, it is not a simple exercise. There is a lot confusion around what data governance is, and a lot of challenges in the implementation of data governance. Data governance is not a project or a one-off exercise but a journey that involves a significant amount of effort, time and investment and cultural change and a number of factors to take into consideration to achieve and sustain data governance success. Data Governance Success: Growing and Sustaining Data Governance is the third and final book in the Data Governance series and discusses the following: • Data governance perceptions and challenges • Key considerations when implementing data governance to achieve and sustain success• Strategy and data governance• Different data governance maturity frameworks• Data governance – people and process elements• Data governance metrics This book shares the combined knowledge related to data and data governance that the author has gained over the years of working in different industrial and research programs and projects associated with data, processes, and technologies and unique perspectives of Thought Leaders and Data Experts through Interviews conducted. This book will be highly beneficial for IT students, academicians, information management and business professionals and researchers to enhance their knowledge to support and succeed in data governance implementations. This book is technology agnostic and contains a balance of concepts and examples and illustrations making it easy for the readers to understand and relate to their own specific data projects.