Download or read book Enterprise Data Management a Clear and Concise Reference written by Gerardus Blokdyk and published by 5starcooks. This book was released on 2018-02-27 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are accountability and ownership for Enterprise data management clearly defined? How will you know that the Enterprise data management project has been successful? How much does Enterprise data management help? How would one define Enterprise data management leadership? Who are the people involved in developing and implementing Enterprise data management? This powerful Enterprise data management self-assessment will make you the accepted Enterprise data management domain adviser by revealing just what you need to know to be fluent and ready for any Enterprise data management challenge. How do I reduce the effort in the Enterprise data management work to be done to get problems solved? How can I ensure that plans of action include every Enterprise data management task and that every Enterprise data management outcome is in place? How will I save time investigating strategic and tactical options and ensuring Enterprise data management opportunity costs are low? How can I deliver tailored Enterprise data management 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 management essentials are covered, from every angle: the Enterprise data management self-assessment shows succinctly and clearly that what needs to be clarified to organize the business/project activities and processes so that Enterprise data management outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Enterprise data management practitioners. Their mastery, combined with the uncommon elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Enterprise data management are maximized with professional results. Your purchase includes access details to the Enterprise data management self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. Your exclusive instant access details can be found in your book.
Download or read book Enterprise Data Planning A Clear and Concise Reference written by Gerardus Blokdyk and published by . This book was released on with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Enterprise Data Planning a Clear and Concise Reference written by Gerardus Blokdyk and published by 5starcooks. This book was released on 2018-02-27 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt: What business benefits will Enterprise Data Planning goals deliver if achieved? Is there a Enterprise Data Planning Communication plan covering who needs to get what information when? How do we ensure that implementations of Enterprise Data Planning products are done in a way that ensures safety? What is Effective Enterprise Data Planning? Do the Enterprise Data Planning decisions we make today help people and the planet tomorrow? This astounding Enterprise Data Planning self-assessment will make you the assured Enterprise Data Planning domain visionary by revealing just what you need to know to be fluent and ready for any Enterprise Data Planning challenge. How do I reduce the effort in the Enterprise Data Planning work to be done to get problems solved? How can I ensure that plans of action include every Enterprise Data Planning task and that every Enterprise Data Planning outcome is in place? How will I save time investigating strategic and tactical options and ensuring Enterprise Data Planning opportunity costs are low? How can I deliver tailored Enterprise Data Planning 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 Planning essentials are covered, from every angle: the Enterprise Data Planning self-assessment shows succinctly and clearly that what needs to be clarified to organize the business/project activities and processes so that Enterprise Data Planning outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Enterprise Data Planning practitioners. Their mastery, combined with the uncommon elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Enterprise Data Planning are maximized with professional results. Your purchase includes access details to the Enterprise Data Planning self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. Your exclusive instant access details can be found in your book.
Download or read book Data Management a gentle introduction written by Bas van Gils and published by Van Haren. This book was released on 2020-03-03 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: The overall objective of this book is to show that data management is an exciting and valuable capability that is worth time and effort. More specifically it aims to achieve the following goals: 1. To give a “gentle” introduction to the field of DM by explaining and illustrating its core concepts, based on a mix of theory, practical frameworks such as TOGAF, ArchiMate, and DMBOK, as well as results from real-world assignments. 2. To offer guidance on how to build an effective DM capability in an organization.This is illustrated by various use cases, linked to the previously mentioned theoretical exploration as well as the stories of practitioners in the field. The primary target groups are: busy professionals who “are actively involved with managing data”. The book is also aimed at (Bachelor’s/ Master’s) students with an interest in data management. The book is industry-agnostic and should be applicable in different industries such as government, finance, telecommunications etc. Typical roles for which this book is intended: data governance office/ council, data owners, data stewards, people involved with data governance (data governance board), enterprise architects, data architects, process managers, business analysts and IT analysts. The book is divided into three main parts: theory, practice, and closing remarks. Furthermore, the chapters are as short and to the point as possible and also make a clear distinction between the main text and the examples. If the reader is already familiar with the topic of a chapter, he/she can easily skip it and move on to the next.
Download or read book Enterprise Knowledge Management written by David Loshin and published by Morgan Kaufmann. This book was released on 2001 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents a methodology for defining, measuring and improving data quality. It lays out an economic framework for understanding the value of data quality, then outlines data quality rules and domain- and mapping-based approaches to consolidating enterprise knowledge.
Download or read book Enterprise Data Governance written by Pierre Bonnet and published by John Wiley & Sons. This book was released on 2013-03-04 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book MASTER DATA MANAGEMENT AND DATA GOVERNANCE 2 E written by Alex Berson and published by McGraw Hill Professional. This book was released on 2010-12-06 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Download or read book Data Stewardship written by David Plotkin and published by Academic Press. This book was released on 2020-10-31 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Download or read book Data Management for Analytics a Clear and Concise Reference written by Gerardus Blokdyk and published by 5starcooks. This book was released on 2018-09-23 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: What are your most important goals for the strategic Data Management for Analytics objectives? Is Data Management for Analytics currently on schedule according to the plan? What vendors make products that address the Data Management for Analytics needs? Who are the Data Management for Analytics improvement team members, including Management Leads and Coaches? Is the Data Management for Analytics scope manageable? This valuable Data Management for Analytics self-assessment will make you the reliable Data Management for Analytics domain adviser by revealing just what you need to know to be fluent and ready for any Data Management for Analytics challenge. How do I reduce the effort in the Data Management for Analytics work to be done to get problems solved? How can I ensure that plans of action include every Data Management for Analytics task and that every Data Management for Analytics outcome is in place? How will I save time investigating strategic and tactical options and ensuring Data Management for Analytics costs are low? How can I deliver tailored Data Management for Analytics 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 Data Management for Analytics essentials are covered, from every angle: the Data Management for Analytics self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Data Management for Analytics outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Data Management for Analytics 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 Data Management for Analytics are maximized with professional results. Your purchase includes access details to the Data Management for Analytics 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.
Download or read book Modern Data Strategy written by Mike Fleckenstein and published by Springer. This book was released on 2018-02-12 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Data administration A Clear and Concise Reference written by Gerardus Blokdyk and published by . This book was released on with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Data Management at Scale written by Piethein Strengholt and published by O'Reilly Media. This book was released on 2020-07-29 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: As data management and integration continue to evolve rapidly, storing all your data in one place, such as a data warehouse, is no longer scalable. In the very near future, data will need to be distributed and available for several technological solutions. With this practical book, you’ll learnhow to migrate your enterprise from a complex and tightly coupled data landscape to a more flexible architecture ready for the modern world of data consumption. Executives, data architects, analytics teams, and compliance and governance staff will learn how to build a modern scalable data landscape using the Scaled Architecture, which you can introduce incrementally without a large upfront investment. Author Piethein Strengholt provides blueprints, principles, observations, best practices, and patterns to get you up to speed. Examine data management trends, including technological developments, regulatory requirements, and privacy concerns Go deep into the Scaled Architecture and learn how the pieces fit together Explore data governance and data security, master data management, self-service data marketplaces, and the importance of metadata
Download or read book Data Administration a Clear and Concise Reference written by Gerardus Blokdyk and published by 5starcooks. This book was released on 2018-04-16 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt: How did the Data administration manager receive input to the development of a Data administration improvement plan and the estimated completion dates/times of each activity? Can we do Data administration without complex (expensive) analysis? What are your current levels and trends in key measures or indicators of Data administration product and process performance that are important to and directly serve your customers? how do these results compare with the performance of your competitors and other organizations with similar offerings? When was the Data administration start date? Who sets the Data administration standards? 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 Data administration investments work better. This Data administration All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Data administration 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 Data administration improvements can be made. In using the questions you will be better able to: - diagnose Data administration 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 Data administration and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Data administration Scorecard, you will develop a clear picture of which Data administration areas need attention. Your purchase includes access details to the Data administration self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. Your exclusive instant access details can be found in your book.
Download or read book Master Data Management and Enterprise Engineering written by M. Naoulo and published by Createspace Indie Pub Platform. This book was released on 2012-07-01 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is in the context of maturity that one needs to read the book - Master Data Management and Enterprise Engineering by Dr. M. Naoulo. The world of technology has several related yet distinct approaches - Martin's and Finklestein's information engineering, Ted Codd's relational technology, Inmon's data warehouse, and others. This book takes these approaches and others and does two important things - it blends them together and it takes the bodies of thought and turns them into an engineering approach. As such this book is another important step in the evolution of computer science. This is a next step in the maturation of computer science. I recommend it to any serious student of computer science or to any serious practitioner. =========== W.H. (Bill) Inmon. May 21, 2012. =========== The book establishes the Fundamentals of design, modeling, architecture, and management of Master, Transactional, and Process Data and the Principles of Enterprise Engineering. The book comprises innovative techniques and elegant approach and design to address: > Master Data Management thru grouping and classifying the Master Data in an innovative way that can be implemented across the Enterprise Data Architecture: Central Data Repository and Business and Enterprise Intelligence (BI & EI) Data Marts. This data classification is based on the questions: Why, How, Who, What, Where and When. > Separating the Master Data, Transactional Data, and Process Data. This separation enables the easiness in dealing with MDM, BI, and EI. The separation approach enormously facilitates the mapping and propagation between the Central Data Repository and the Business and Enterprise Data Marts. >The basics and techniques of the design of the Enterprise Engineering Model. This model supports the Transactional Systems, Business Intelligence, Business Process Management, Enterprise Intelligence, and Enterprise Engineering. > Synchronization and Integration of Master, Transactional, and Process Data across the enterprise: Legacy Systems, Central Data Repository, and Business and Intelligence Data Marts. > Assessing the different Enterprise Data Architectures. The first part encompasses the Enterprise Data Framework and its new Modeling Techniques. The Enterprise Data Framework illustrates and depicts the Data Architecture across the enterprise covering the integration and consolidation of the data of the Legacy Systems in a Central Data Repository and the propagation of this data into the Business and Enterprise Intelligence Data Marts. The Enterprise Engineering Model presents a clear and concise illustration depicting the Operational aspects of the Enterprise and their relations to the Enterprise's needs. It includes: > Master Data representing the main objects of an enterprise, > Transactional Data detailing the results of transactions occurring in an enterprise, and > Process Data capturing the data pertinent to the activities of the functioning of an enterprise. The second part encompasses the Enterprise Engineering Framework, Methodology, Guidelines, Deliverables, and Techniques. It bestows the blueprint of the functioning of enterprises. This part details the basics of Enterprise Engineering and its implementation thru the processing of the Enterprise Engineering Model. It provides the cost data (materiel cost, labor cost, time) reflecting the functioning of the Enterprise and point out the efficiency, performance, strengths, and weaknesses of its operation. Detailed Case Studies are presented supporting the theoretical aspect of Enterprise Engineering. These Case Studies provide clear and practical hands-on exercises reflecting the functioning of the Enterprises and illustrating the implementation of Enterprise Engineering.
Download or read book Master Data Management and Enterprise Engineering Color Version written by M. Naoulo and published by . This book was released on 2012-09-06 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is in the context of maturity that one needs to read the book ? Master Data Management and Enterprise Engineering by Dr. M. Naoulo. The world of technology has several related yet distinct approaches ? Martin?s and Finklestein?s information engineering, Ted Codd?s relational technology, Inmon?s data warehouse, and others.This book takes these approaches and others and does two important things ? it blends them together and it takes the bodies of thought and turns them into an engineering approach. As such this book is another important step in the evolution of computer science. This is a next step in the maturation of computer science. I recommend it to any serious student of computer science or to any serious practitioner.=========== W.H. (Bill) Inmon. May 21, 2012. =========== The book establishes the Fundamentals of design, modeling, architecture, and management of Master, Transactional, and Process Data and the Principles of Enterprise Engineering.The book comprises innovative techniques and elegant approach and design to address:> Master Data Management thru grouping and classifying the Master Data in an innovative way that can be implemented across the Enterprise Data Architecture: Central Data Repository and Business and Enterprise Intelligence (BI & EI) Data Marts. This data classification is based on the questions: Why, How, Who, What, Where and When.> Separating the Master Data, Transactional Data, and Process Data. This separation enables the easiness in dealing with MDM, BI, and EI. The separation approach enormously facilitates the mapping and propagation between the Central Data Repository and the Business and Enterprise Data Marts. >The basics and techniques of the design of the Enterprise Engineering Model. This model supports the Transactional Systems, Business Intelligence, Business Process Management, Enterprise Intelligence, and Enterprise Engineering.> Synchronization and Integration of Master, Transactional, and Process Data across the enterprise: Legacy Systems, Central Data Repository, and Business and Intelligence Data Marts.> Assessing the different Enterprise Data Architectures.The first part encompasses the Enterprise Data Framework and its new Modeling Techniques. The Enterprise Data Framework illustrates and depicts the Data Architecture across the enterprise covering the integration and consolidation of the data of the Legacy Systems in a Central Data Repository and the propagation of this data into the Business and Enterprise Intelligence Data Marts. The Enterprise Engineering Model presents a clear and concise illustration depicting the Operational aspects of the Enterprise and their relations to the Enterprise?s needs. It includes:> Master Data representing the main objects of an enterprise,> Transactional Data detailing the results of transactions occurring in an enterprise, and> Process Data capturing the data pertinent to the activities of the functioning of an enterprise.The second part encompasses the Enterprise Engineering Framework, Methodology, Guidelines, Deliverables, and Techniques. It bestows the blueprint of the functioning of enterprises. This part details the basics of Enterprise Engineering and its implementation thru the processing of the Enterprise Engineering Model. It provides the cost data (materiel cost, labor cost, time) reflecting the functioning of the Enterprise and point out the efficiency, performance, strengths, and weaknesses of its operation. Detailed Case Studies are presented supporting the theoretical aspect of Enterprise Engineering. These Case Studies provide clear and practical hands-on exercises reflecting the functioning of the Enterprises and illustrating the implementation of Enterprise Engineering.
Download or read book Principles of Data Management written by Keith Gordon and published by BCS, The Chartered Institute. This book was released on 2007 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: Organisations increasingly view data as a valuable corporate asset and its effective management can be vital to an organisation's success. This professional reference guide covers all the key areas including database development, data quality and corporate data modelling. It is not based on a particular proprietary system; it is business focused, providing the knowledge and techniques required to successfully implement the data management function.
Download or read book Data Governance written by John Ladley and published by Academic Press. This book was released on 2019-11-08 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
