Enterprise Data Management a Clear and Concise Reference

Enterprise Data Management a Clear and Concise Reference
Author: Gerardus Blokdyk
Publisher: 5starcooks
Total Pages: 128
Release: 2018-02-27
Genre:
ISBN: 9780655156819
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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.

Enterprise Data Planning a Clear and Concise Reference

Enterprise Data Planning a Clear and Concise Reference
Author: Gerardus Blokdyk
Publisher: 5starcooks
Total Pages: 126
Release: 2018-02-27
Genre:
ISBN: 9780655154259
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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.

Data Management: a gentle introduction

Data Management: a gentle introduction
Author: Bas van Gils
Publisher: Van Haren
Total Pages: 301
Release: 2020-03-03
Genre: Architecture
ISBN: 9401805520
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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.

Enterprise Data Governance

Enterprise Data Governance
Author: Pierre Bonnet
Publisher: John Wiley & Sons
Total Pages: 264
Release: 2013-03-04
Genre: Computers
ISBN: 1118622537
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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.

MASTER DATA MANAGEMENT AND DATA GOVERNANCE, 2/E

MASTER DATA MANAGEMENT AND DATA GOVERNANCE, 2/E
Author: Alex Berson
Publisher: McGraw Hill Professional
Total Pages: 537
Release: 2010-12-06
Genre: Computers
ISBN: 0071744592
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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 Stewardship

Data Stewardship
Author: David Plotkin
Publisher: Newnes
Total Pages: 251
Release: 2013-09-16
Genre: Computers
ISBN: 0124104452
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Data stewards in business and IT are the backbone of a successful data governance implementation because they do the work to make a company’s data trusted, dependable, and high quality. Data Stewardship explains everything you need to know to successfully implement the stewardship portion of data governance, including how to organize, train, and work with data stewards, get high-quality business definitions and other metadata, and perform the day-to-day tasks using a minimum of the steward’s time and effort. David Plotkin has loaded this book with practical advice on stewardship so you can get right to work, have early successes, and measure and communicate those successes, gaining more support for this critical effort. Provides clear and concise practical advice on implementing and running data stewardship, including guidelines on how to organize based on company structure, business functions, and data ownership Shows how to gain support for your stewardship effort, maintain that support over the long-term, and measure the success of the data stewardship effort and report back to management 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

Enterprise Knowledge Management

Enterprise Knowledge Management
Author: David Loshin
Publisher: Morgan Kaufmann
Total Pages: 516
Release: 2001
Genre: Business & Economics
ISBN: 9780124558403
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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.

Data Management for Analytics a Clear and Concise Reference

Data Management for Analytics a Clear and Concise Reference
Author: Gerardus Blokdyk
Publisher: 5starcooks
Total Pages: 288
Release: 2018-09-23
Genre:
ISBN: 9780655416746
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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.