Data Strategy And The Enterprise Data Executive
DOWNLOAD eBooks
Download Data Strategy And The Enterprise Data Executive PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Data Strategy And The Enterprise Data Executive book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Data Strategy And The Enterprise Data Executive
DOWNLOAD eBooks
Author : Peter Aiken
language : en
Publisher: Technics Publications
Release Date : 2017
Data Strategy And The Enterprise Data Executive written by Peter Aiken and has been published by Technics Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Big data categories.
Master a proven approach to create, implement, and sustain a data strategy. Pervasive, data is a unique organizational resource, and this distinction warrants its own strategy. Data, representing your single non-depletable, non-degradable, durable strategic asset, is likely also your most poorly leveraged and underutilized organizational asset. Lack of talent, barriers in organizational thinking, and seven specific data sins prevent most organizations from benefiting fully from their data asset investments. Solving these prerequisites will allow your organization to: Improve your organization’s data; Improve the way your people use data; and Improve the way your people use data to achieve your organizational strategy. This method better focuses data and thinking in direct support of strategic objectives. After eliminating necessary prerequisites, organizations can develop a disciplined and repeatable means of improving their data, literacy, standards, and controls using data governance practices. Once in place, the process (based on the theory of constraints) becomes a variant of lather, rinse, and repeat. Several complementary concepts covered include: An overview of data strategy prerequisites; A repeatable process for identifying and removing data constraints; Why data strategy is necessary for effective data governance; Balancing operational results with capability development; An objective definition of data-centric thinking; and Ways to monetize these efforts.
Data Strategy And The Enterprise Data Executive
DOWNLOAD eBooks
Author : Peter Aiken
language : en
Publisher:
Release Date : 2017
Data Strategy And The Enterprise Data Executive written by Peter Aiken and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Business & Economics categories.
Master a proven approach to create, implement, and sustain a data strategy.
Data Strategy And The Enterprise Data Executive
DOWNLOAD eBooks
Author : Todd Harbour
language : en
Publisher:
Release Date : 2017
Data Strategy And The Enterprise Data Executive written by Todd Harbour and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Big data categories.
Master a proven approach to create, implement, and sustain a data strategy. Pervasive, data is a unique organizational resource, and this distinction warrants its own strategy. Data, representing your single non-depletable, non-degradable, durable strategic asset, is likely also your most poorly leveraged and underutilized organizational asset. Lack of talent, barriers in organizational thinking, and seven specific data sins prevent most organizations from benefiting fully from their data asset investments. Solving these prerequisites will allow your organization to: Improve your organization's data; Improve the way your people use data; and Improve the way your people use data to achieve your organizational strategy. This method better focuses data and thinking in direct support of strategic objectives. After eliminating necessary prerequisites, organizations can develop a disciplined and repeatable means of improving their data, literacy, standards, and controls using data governance practices. Once in place, the process (based on the theory of constraints) becomes a variant of lather, rinse, and repeat. Several complementary concepts covered include: An overview of data strategy prerequisites; A repeatable process for identifying and removing data constraints; Why data strategy is necessary for effective data governance; Balancing operational results with capability development; An objective definition of data-centric thinking; and Ways to monetize these efforts.
Modern Data Strategy
DOWNLOAD eBooks
Author : Mike Fleckenstein
language : en
Publisher: Springer
Release Date : 2018-02-12
Modern Data Strategy written by Mike Fleckenstein and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-12 with Computers categories.
This book contains practical steps business users can take to implement data management in a number of ways, including data governance, data architecture, master data management, business intelligence, and others. It defines data strategy, and covers chapters that illustrate how to align a data strategy with the business strategy, a discussion on valuing data as an asset, the evolution of data management, and who should oversee a data strategy. This provides the user with a good understanding of what a data strategy is and its limits. Critical to a data strategy is the incorporation of one or more data management domains. Chapters on key data management domains—data governance, data architecture, master data management and analytics, offer the user a practical approach to data management execution within a data strategy. The intent is to enable the user to identify how execution on one or more data management domains can help solve business issues. This book is intended for business users who work with data, who need to manage one or more aspects of the organization’s data, and who want to foster an integrated approach for how enterprise data is managed. This book is also an excellent reference for students studying computer science and business management or simply for someone who has been tasked with starting or improving existing data management.
Data Strategy
DOWNLOAD eBooks
Author : Sid Adelman
language : en
Publisher: Addison-Wesley Professional
Release Date : 2005
Data Strategy written by Sid Adelman and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Computers categories.
Without a data strategy, the people within an organization have no guidelines for making decisions that are absolutely crucial to the success of the IT organization and to the entire organization. The absence of a strategy gives a blank check to those who want to pursue their own agendas, including those who want to try new database management systems, new technologies (often unproven), and new tools. This type of environment provides no hope for success. Data Strategy should result in the development of systems with less risk, higher quality systems, and reusability of assets. This is key to keeping cost and maintenance down, thus running lean and mean. Data Strategy provides a CIO with a rationale to counter arguments for immature technology and data strategies that are inconsistent with existing strategies. This book uses case studies and best practices to give the reader the tools they need to create the best strategy for the organization.
Navigating The Labyrinth
DOWNLOAD eBooks
Author : Laura Sebastian-Coleman
language : en
Publisher: Technics Publications
Release Date : 2018-05-09
Navigating The Labyrinth written by Laura Sebastian-Coleman and has been published by Technics Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-09 with Computers categories.
An Executive Guide to Data Management
Modern Data Strategy
DOWNLOAD eBooks
Author : Mike Fleckenstein
language : en
Publisher: Springer
Release Date : 2018-02-22
Modern Data Strategy written by Mike Fleckenstein and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-22 with Computers categories.
This book contains practical steps business users can take to implement data management in a number of ways, including data governance, data architecture, master data management, business intelligence, and others. It defines data strategy, and covers chapters that illustrate how to align a data strategy with the business strategy, a discussion on valuing data as an asset, the evolution of data management, and who should oversee a data strategy. This provides the user with a good understanding of what a data strategy is and its limits. Critical to a data strategy is the incorporation of one or more data management domains. Chapters on key data management domains—data governance, data architecture, master data management and analytics, offer the user a practical approach to data management execution within a data strategy. The intent is to enable the user to identify how execution on one or more data management domains can help solve business issues. This book is intended for business users who work with data, who need to manage one or more aspects of the organization’s data, and who want to foster an integrated approach for how enterprise data is managed. This book is also an excellent reference for students studying computer science and business management or simply for someone who has been tasked with starting or improving existing data management.
Data As A Service
DOWNLOAD eBooks
Author : Pushpak Sarkar
language : en
Publisher: John Wiley & Sons
Release Date : 2015-07-31
Data As A Service written by Pushpak Sarkar 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 2015-07-31 with Computers categories.
Data as a Service shows how organizations can leverage “data as a service” by providing real-life case studies on the various and innovative architectures and related patterns Comprehensive approach to introducing data as a service in any organization A reusable and flexible SOA based architecture framework Roadmap to introduce ‘big data as a service’ for potential clients Presents a thorough description of each component in the DaaS reference architecture so readers can implement solutions
The Data Asset
DOWNLOAD eBooks
Author : Tony Fisher
language : en
Publisher: John Wiley & Sons
Release Date : 2009-06-22
The Data Asset written by Tony Fisher 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 2009-06-22 with Business & Economics categories.
An indispensable guide that shows companies how to treat data as a strategic asset Organizations set their business strategy and direction based on information that is available to executives. The Data Asset provides guidance for not only building the business case for data quality and data governance, but also for developing methodologies and processes that will enable your organization to better treat its data as a strategic asset. Part of Wiley's SAS Business Series, this book looks at Business Case Building; Maturity Model and Organization Capabilities; 7-Step Programmatic Approach for Success; and Technologies Required for Effective Data Quality and Data Governance and, within these areas, covers Risk mitigation Cost control Revenue optimization Undisciplined and reactive organizations Proactive organizations Analysis, improvement, and control technology Whether you're a business manager or an IT professional, The Data Asset reveals the methodology and technology needed to approach successful data quality and data governance initiatives on an enterprise scale.
Data Governance Success
DOWNLOAD eBooks
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.