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Data Stewardship In Action


Data Stewardship In Action
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Data Stewardship In Action


Data Stewardship In Action
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Author : Pui Shing Lee
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-02-16

Data Stewardship In Action written by Pui Shing Lee and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-16 with Computers categories.


Take your organization's data maturity to the next level by operationalizing data governance Key Features Develop the mindset and skills essential for successful data stewardship Apply practical advice and industry best practices, spanning data governance, quality management, and compliance, to enhance data stewardship Follow a step-by-step program to develop a data operating model and implement data stewardship effectively Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionIn the competitive data-centric world, mastering data stewardship is not just a requirement—it's the key to organizational success. Unlock strategic excellence with Data Stewardship in Action, your guide to exploring the intricacies of data stewardship and its implementation for maximum efficiency. From business strategy to data strategy, and then to data stewardship, this book shows you how to strategically deploy your workforce, processes, and technology for efficient data processing. You’ll gain mastery over the fundamentals of data stewardship, from understanding the different roles and responsibilities to implementing best practices for data governance. You’ll elevate your data management skills by exploring the technologies and tools for effective data handling. As you progress through the chapters, you’ll realize that this book not only helps you develop the foundational skills to become a successful data steward but also introduces innovative approaches, including leveraging AI and GPT, for enhanced data stewardship. By the end of this book, you’ll be able to build a robust data governance framework by developing policies and procedures, establishing a dedicated data governance team, and creating a data governance roadmap that ensures your organization thrives in the dynamic landscape of data management.What you will learn Enhance your job prospects by understanding the data stewardship field, roles, and responsibilities Discover how to develop a data strategy and translate it into a functional data operating model Develop an effective and efficient data stewardship program Gain practical experience of establishing a data stewardship initiative Implement purposeful governance with measurable ROI Prioritize data use cases with the value and effort matrix Who this book is for This book is for professionals working in the field of data management, including business analysts, data scientists, and data engineers looking to gain a deeper understanding of the data steward role. Senior executives who want to (re)establish the data governance body in their organizations will find this resource invaluable. While accessible to both beginners and professionals, basic knowledge of data management concepts, such as data modeling, data warehousing, and data quality, is a must to get started.



Data Stewardship


Data Stewardship
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Author : David Plotkin
language : en
Publisher: Academic Press
Release Date : 2020-11-06

Data Stewardship written by David Plotkin and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-06 with Computers categories.


Data stewards in any organization are the backbone of a successful data governance implementation because they do the work to make data trusted, dependable, and high quality. Since the publication of the first edition, there have been critical new developments in the field, such as integrating Data Stewardship into project management, handling Data Stewardship in large international companies, handling "big data" and Data Lakes, and a pivot in the overall thinking around the best way to align data stewardship to the data-moving from business/organizational function to data domain. Furthermore, the role of process in data stewardship is now recognized as key and needed to be covered.Data Stewardship, Second Edition provides clear and concise practical advice on implementing and running data stewardship, including guidelines on how to organize based on organizational/company structure, business functions, and data ownership. The book shows data managers how to gain support for a stewardship effort, maintain that support over the long-term, and measure the success of the data stewardship effort. It includes detailed lists of responsibilities for each type of data steward and strategies to help the Data Governance Program Office work effectively with the data stewards.



Data Stewardship


Data Stewardship
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Author : David Plotkin
language : en
Publisher: Academic Press
Release Date : 2020-10-31

Data Stewardship written by David Plotkin and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-31 with Computers categories.


Data stewards in any organization are the backbone of a successful data governance implementation because they do the work to make data trusted, dependable, and high quality. Since the publication of the first edition, there have been critical new developments in the field, such as integrating Data Stewardship into project management, handling Data Stewardship in large international companies, handling "big data" and Data Lakes, and a pivot in the overall thinking around the best way to align data stewardship to the data—moving from business/organizational function to data domain. Furthermore, the role of process in data stewardship is now recognized as key and needed to be covered.Data Stewardship, Second Edition provides clear and concise practical advice on implementing and running data stewardship, including guidelines on how to organize based on organizational/company structure, business functions, and data ownership. The book shows data managers how to gain support for a stewardship effort, maintain that support over the long-term, and measure the success of the data stewardship effort. It includes detailed lists of responsibilities for each type of data steward and strategies to help the Data Governance Program Office work effectively with the data stewards. - Includes an enhanced section on data governance/stewardship structure for companies that do business internationally, including the structure of business terms to account for country differences - Outlines the advantages and disadvantages of "data domains," details on suggested data domains and data domain structures, as well as data governance by data domains - Integrates data governance into Project methodology, defining roles on a project, adding Data Governance tasks to the Work Breakdown Structure, as well as advantages of working closely with the Project management Office - Covers the data stewardship involved in implementing national and international data privacy regulations



Data Stewardship For Open Science


Data Stewardship For Open Science
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Author : Barend Mons
language : en
Publisher: CRC Press
Release Date : 2021-06-30

Data Stewardship For Open Science written by Barend Mons and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-30 with Business enterprises categories.


This book makes readers aware of the need, complexity, and challenges associated with open science, modern science communication, and data stewardship.



Designing And Operating A Data Reservoir


Designing And Operating A Data Reservoir
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Author : Mandy Chessell
language : en
Publisher: IBM Redbooks
Release Date : 2015-05-26

Designing And Operating A Data Reservoir written by Mandy Chessell and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-05-26 with Computers categories.


Together, big data and analytics have tremendous potential to improve the way we use precious resources, to provide more personalized services, and to protect ourselves from unexpected and ill-intentioned activities. To fully use big data and analytics, an organization needs a system of insight. This is an ecosystem where individuals can locate and access data, and build visualizations and new analytical models that can be deployed into the IT systems to improve the operations of the organization. The data that is most valuable for analytics is also valuable in its own right and typically contains personal and private information about key people in the organization such as customers, employees, and suppliers. Although universal access to data is desirable, safeguards are necessary to protect people's privacy, prevent data leakage, and detect suspicious activity. The data reservoir is a reference architecture that balances the desire for easy access to data with information governance and security. The data reservoir reference architecture describes the technical capabilities necessary for a system of insight, while being independent of specific technologies. Being technology independent is important, because most organizations already have investments in data platforms that they want to incorporate in their solution. In addition, technology is continually improving, and the choice of technology is often dictated by the volume, variety, and velocity of the data being managed. A system of insight needs more than technology to succeed. The data reservoir reference architecture includes description of governance and management processes and definitions to ensure the human and business systems around the technology support a collaborative, self-service, and safe environment for data use. The data reservoir reference architecture was first introduced in Governing and Managing Big Data for Analytics and Decision Makers, REDP-5120, which is available at: http://www.redbooks.ibm.com/redpieces/abstracts/redp5120.html. This IBM® Redbooks publication, Designing and Operating a Data Reservoir, builds on that material to provide more detail on the capabilities and internal workings of a data reservoir.



Master Data Management In Practice


Master Data Management In Practice
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Author : Dalton Cervo
language : en
Publisher: John Wiley & Sons
Release Date : 2011-05-25

Master Data Management In Practice written by Dalton Cervo 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 2011-05-25 with Business & Economics categories.


In this book, authors Dalton Cervo and Mark Allen show you how to implement Master Data Management (MDM) within your business model to create a more quality controlled approach. Focusing on techniques that can improve data quality management, lower data maintenance costs, reduce corporate and compliance risks, and drive increased efficiency in customer data management practices, the book will guide you in successfully managing and maintaining your customer master data. You'll find the expert guidance you need, complete with tables, graphs, and charts, in planning, implementing, and managing MDM.



Data Management Strategy At Microsoft


Data Management Strategy At Microsoft
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Author : Aleksejs Plotnikovs
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-07-19

Data Management Strategy At Microsoft written by Aleksejs Plotnikovs and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-19 with Computers categories.


Leverage your data as a business asset, from readiness to actionable insights, and drive exceptional performance Key Features Learn strategies to create a data-driven culture and align data initiatives with business goals Navigate the ever-evolving business landscape with a modern data platform and unique Data IP Surpass competitors by harnessing the true value of data and fostering data literacy in your organization Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionMicrosoft pioneered data innovation and investment ahead of many in the industry, setting a remarkable standard for data maturity. Written by a data leader with over 15 years of experience following Microsoft’s data journey, this book delves into every crucial aspect of this journey, including change management, aligning with business needs, enhancing data value, and cultivating a data-driven culture. This book emphasizes that success in a data-driven enterprise goes beyond relying solely on modern technology and highlights the importance of prioritizing genuine business needs to propel necessary modernizations through change management practices. You’ll see how data-driven innovation does not solely reside within central IT engineering teams but also among the data's business owners who rely on data daily for their operational needs. This guide empower these professionals with clean, easily discoverable, and business-ready data, marking a significant breakthrough in how data is perceived and utilized throughout an enterprise. You’ll also discover advanced techniques to nurture the value of data as unique intellectual property, and differentiate your organization with the power of data. Its storytelling approach and summary of essential insights at the end of each chapter make this book invaluable for business and data leaders to advocate for crucial data investments.What you will learn Develop a data-driven roadmap to achieve significant and quantifiable business goals Discover the ties between data management and change management Explore the data maturity curve with essential technology investments Build, safeguard, and amplify your organization's unique Data Intellectual Property Equip business leaders with trustworthy and high value data for informed decision-making Unleash the value of data management and data governance to uplift your data investments Who this book is for This book is for data leaders, CDOs, CDAOs, data practitioners, data stewards, and enthusiasts, as well as modern business leaders intrigued by the transformative potential of data. While a technical background isn't essential, a basic understanding of data management and quality concepts will be helpful. The book avoids twisted technical, engineering, or data science aspects, making it accessible and insightful for data engineers and data scientists to gain a wider understanding of enterprise data needs and challenges.



Non Invasive Data Governance


Non Invasive Data Governance
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Author : Robert S. Seiner
language : en
Publisher: Technics Publications
Release Date : 2014-09-01

Non Invasive Data Governance written by Robert S. Seiner and has been published by Technics Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-01 with Computers categories.


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.



Multi Domain Master Data Management


Multi Domain Master Data Management
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Author : Mark Allen
language : en
Publisher: Morgan Kaufmann
Release Date : 2015-03-21

Multi Domain Master Data Management written by Mark Allen and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-03-21 with Computers categories.


Multi-Domain Master Data Management delivers practical guidance and specific instruction to help guide planners and practitioners through the challenges of a multi-domain master data management (MDM) implementation. Authors Mark Allen and Dalton Cervo bring their expertise to you in the only reference you need to help your organization take master data management to the next level by incorporating it across multiple domains. Written in a business friendly style with sufficient program planning guidance, this book covers a comprehensive set of topics and advanced strategies centered on the key MDM disciplines of Data Governance, Data Stewardship, Data Quality Management, Metadata Management, and Data Integration. - Provides a logical order toward planning, implementation, and ongoing management of multi-domain MDM from a program manager and data steward perspective. - Provides detailed guidance, examples and illustrations for MDM practitioners to apply these insights to their strategies, plans, and processes. - Covers advanced MDM strategy and instruction aimed at improving data quality management, lowering data maintenance costs, and reducing corporate risks by applying consistent enterprise-wide practices for the management and control of master data.



Foundations And Applications Of Ai In Data Engineering And Healthcare Analytics


Foundations And Applications Of Ai In Data Engineering And Healthcare Analytics
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Author : Bhumika Shah Dr. Arun Prakash Agarwal
language : en
Publisher: DeepMisti Publication
Release Date : 2025-02-02

Foundations And Applications Of Ai In Data Engineering And Healthcare Analytics written by Bhumika Shah Dr. Arun Prakash Agarwal and has been published by DeepMisti Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-02 with Computers categories.


The advent of artificial intelligence (AI) has ushered in a new era of possibilities, transforming industries and redefining how we solve complex problems. Among its most promising applications, data engineering and healthcare analytics stand out as fields where AI’s potential can revolutionize processes, unlock insights, and enhance outcomes. However, realizing this potential requires a solid understanding of foundational concepts, cutting-edge techniques, and their real- world applications. Foundations and Applications of AI in Data Engineering and Healthcare Analytics bridges the gap between theory and practice, offering readers a comprehensive exploration of AI’s role in these critical domains. This book serves as both an introduction for newcomers and an advanced resource for professionals seeking to deepen their expertise. In the realm of data engineering, AI empowers organizations to manage, process, and analyze vast volumes of data with unprecedented efficiency. From intelligent data pipelines to real-time analytics, this book delves into the tools and techniques that make data actionable and impactful. In healthcare analytics, AI is driving breakthroughs that were once thought impossible—predictive modeling for patient care, personalized medicine, and early disease detection, to name a few. By combining case studies, technical insights, and practical guidelines, this book highlights how AI is shaping a smarter, more responsive healthcare ecosystem. As you embark on this journey, you’ll gain not only the technical knowledge required to implement AI solutions but also the critical perspective needed to navigate ethical considerations, regulatory frameworks, and the human impact of these innovations. Whether you are a data engineer, a healthcare professional, a researcher, or an AI enthusiast, this book offers a roadmap to understanding and leveraging AI to solve real-world challenges in data and healthcare. Welcome to a world where AI meets data and healthcare, unlocking possibilities for a better future. Authors