Master Data Management And Data Governance 2 E

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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

Master Data Management And Data Governance 2 E 2nd Edition

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Author : Alex Berson
language : en
Publisher:
Release Date : 2010

Master Data Management And Data Governance 2 E 2nd Edition written by Alex Berson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with 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.

Master Data Management

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Author :
language : en
Publisher: Binayaka Mishra
Release Date : 2017-06-30

Master Data Management written by and has been published by Binayaka Mishra this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-30 with Computers categories.

" In 1941, a new term was added to the Oxford English Dictionary: Information Explosion (Press, 2013). The term explains the growth in information content seen seven decades ago, beginning with Fremont Rider; a university librarian who in 1944 estimated that information in university libraries would double in size every sixteen years. Nearly seventy year later, Bounie and Gilled, produced a report called “International Production and Dissemination of Information”, and concluded that the world in 2008 produced 14.7 exabytes of new information; three times the amount of information produced just five years earlier (Press, 2013). This rapid growth in information content has generated a greater need for organizations to evaluate how key organizational content is managed to achieve strategic goals and to remain competitive in today’s business environment. "

Master Data Management In Practice

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Author : Dalton Cervo
language : en
Publisher: John Wiley & Sons
Release Date : 2011-07-05

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 2011-07-05 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.

Handbook Of Financial Data And Risk Information Ii

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Author : Margarita S. Brose
language : en
Publisher: Cambridge University Press
Release Date : 2014-01-09

Handbook Of Financial Data And Risk Information Ii written by Margarita S. Brose and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-09 with Business & Economics categories.

A comprehensive resource for understanding the issues involved in collecting, measuring and managing data in the financial services industry.

Data Governance Devsecops And Advancements In Modern Software

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Author : Elbaghazaoui, Bahaa Eddine
language : en
Publisher: IGI Global
Release Date : 2025-04-24

Data Governance Devsecops And Advancements In Modern Software written by Elbaghazaoui, Bahaa Eddine and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-24 with Computers categories.

In today’s digital landscape, data governance, DevSecOps, and advancements in modern software development have become critical in secure and efficient technology ecosystems. As organizations rely on large amounts of data and sophisticated software systems to drive innovation and business success, the need for improved frameworks to manage, protect, and optimize this data increases. Data governance ensures data is accurate, secure, and compliant with regulations, while DevSecOps, an integrated approach to development, security, and operations, empowers teams to build, test, and utilize software with security embedded through its lifecycle. Along with the latest advancements in modern software technologies, these concepts form the foundation for building resilient, secure, and scalable applications. The intersection of these practices shapes the future of how software is developed, deployed, and governed, and further research may provide both opportunities and challenges for connection. Data Governance, DevSecOps, and Advancements in Modern Software explores the integration of key technologies and methodologies that define the modern digital landscape, with a focus on DataOps, DevSecOps, data governance, and software architecture. It provides a comprehensive guide to managing data workflows and enhancing operational efficiency while embedding security at every stage of the development lifecycle. This book covers topics such as data science, artificial intelligence, and resilient systems, and is a useful resource for data scientists, engineers, software developers, business owners, researchers, and academicians.

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.

Big Data For Big Decisions

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Author : Krishna Pera
language : en
Publisher: CRC Press
Release Date : 2022-12-30

Big Data For Big Decisions written by Krishna Pera and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-30 with Business & Economics categories.

Building a data-driven organization (DDO) is an enterprise-wide initiative that may consume and lock up resources for the long term. Understandably, any organization considering such an initiative would insist on a roadmap and business case to be prepared and evaluated prior to approval. This book presents a step-by-step methodology in order to create a roadmap and business case, and provides a narration of the constraints and experiences of managers who have attempted the setting up of DDOs. The emphasis is on the big decisions – the key decisions that influence 90% of business outcomes – starting from decision first and reengineering the data to the decisions process-chain and data governance, so as to ensure the right data are available at the right time, every time. Investing in artificial intelligence and data-driven decision making are now being considered a survival necessity for organizations to stay competitive. While every enterprise aspires to become 100% data-driven and every Chief Information Officer (CIO) has a budget, Gartner estimates over 80% of all analytics projects fail to deliver intended value. Most CIOs think a data-driven organization is a distant dream, especially while they are still struggling to explain the value from analytics. They know a few isolated successes, or a one-time leveraging of big data for decision making does not make an organization data-driven. As of now, there is no precise definition for data-driven organization or what qualifies an organization to call itself data-driven. Given the hype in the market for big data, analytics and AI, every CIO has a budget for analytics, but very little clarity on where to begin or how to choose and prioritize the analytics projects. Most end up investing in a visualization platform like Tableau or QlikView, which in essence is an improved version of their BI dashboard that the organization had invested into not too long ago. The most important stakeholders, the decision-makers, are rarely kept in the loop while choosing analytics projects. This book provides a fail-safe methodology for assured success in deriving intended value from investments into analytics. It is a practitioners’ handbook for creating a step-by-step transformational roadmap prioritizing the big data for the big decisions, the 10% of decisions that influence 90% of business outcomes, and delivering material improvements in the quality of decisions, as well as measurable value from analytics investments. The acid test for a data-driven organization is when all the big decisions, especially top-level strategic decisions, are taken based on data and not on the collective gut feeling of the decision makers in the organization.

Entity Information Life Cycle For Big Data

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Author : John R. Talburt
language : en
Publisher: Morgan Kaufmann
Release Date : 2015-04-20

Entity Information Life Cycle For Big Data written by John R. Talburt and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-20 with Computers categories.

Entity Information Life Cycle for Big Data walks you through the ins and outs of managing entity information so you can successfully achieve master data management (MDM) in the era of big data. This book explains big data's impact on MDM and the critical role of entity information management system (EIMS) in successful MDM. Expert authors Dr. John R. Talburt and Dr. Yinle Zhou provide a thorough background in the principles of managing the entity information life cycle and provide practical tips and techniques for implementing an EIMS, strategies for exploiting distributed processing to handle big data for EIMS, and examples from real applications. Additional material on the theory of EIIM and methods for assessing and evaluating EIMS performance also make this book appropriate for use as a textbook in courses on entity and identity management, data management, customer relationship management (CRM), and related topics. - Explains the business value and impact of entity information management system (EIMS) and directly addresses the problem of EIMS design and operation, a critical issue organizations face when implementing MDM systems - Offers practical guidance to help you design and build an EIM system that will successfully handle big data - Details how to measure and evaluate entity integrity in MDM systems and explains the principles and processes that comprise EIM - Provides an understanding of features and functions an EIM system should have that will assist in evaluating commercial EIM systems - Includes chapter review questions, exercises, tips, and free downloads of demonstrations that use the OYSTER open source EIM system - Executable code (Java .jar files), control scripts, and synthetic input data illustrate various aspects of CSRUD life cycle such as identity capture, identity update, and assertions

Digital Technology The World Of Our Own

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Author : Binayaka Mishra
language : en
Publisher: Binayaka Mishra
Release Date : 2022-05-12

Digital Technology The World Of Our Own written by Binayaka Mishra and has been published by Binayaka Mishra this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-12 with Business & Economics categories.

" Digital Transformation often referred as DX or DT . IT modernisation (for example, cloud computing) to digital optimization to the creation of new digital business models are all examples of digital transformation. In general, it refers to the use of digital technology to significantly enhance or create new business processes. So, what exactly is digital transformation for businesses? It is the process of understanding consumer needs and using technology to enhance the end-user experience. End users may be either customers or workers, and many businesses must consider both. In the marketing department, for example, digital transformation may generate more high-quality leads and help firms get closer to their customers while spending less money than traditional analogue marketing tactics.Aside from experimenting with new technology, digital transformation entails rethinking your current approach to common challenges. A transition does not always have a clear finish since it is an evolution. When it comes to the topic "what is digital transformation," the MIT Sloan Management Review, a journal that focuses on management transformations, noted, "Digital transformation is best viewed of as continuing adaptation to a constantly changing environment." This implies that businesses must always seek methods to enhance the end-user experience. This might be accomplished via increasing on-demand training, migrating data to cloud services, using artificial intelligence, and other methods. "