Multi Domain Master Data Management

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  • Publisher : Morgan Kaufmann Publishers
  • Release : 25 March 2015
  • ISBN : 0128008350
  • Page : 244 pages
  • Rating : 4.5/5 from 103 voters

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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. 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.

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Multi-Domain Master Data Management

Multi-Domain Master Data Management
  • Author : Mark Allen,Dalton Cervo
  • Publisher : Morgan Kaufmann Publishers
  • Release Date : 2015-03-25
  • ISBN : 0128008350
GET THIS BOOKMulti-Domain Master Data Management

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. 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.

Multi-Domain Master Data Management

Multi-Domain Master Data Management
  • Author : Mark Allen,Dalton Cervo
  • Publisher : Morgan Kaufmann
  • Release Date : 2015-03-21
  • ISBN : 9780128011478
GET THIS BOOKMulti-Domain Master Data Management

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

Enterprise Master Data Management (Paperback)

Enterprise Master Data Management (Paperback)
  • Author : Allen Dreibelbis,Eberhard Hechler,Ivan Milman,Paul Van Run,Martin Oberhofer,Dan Wolfson
  • Publisher : IBM Press
  • Release Date : 2018-02-11
  • ISBN : 013485750X
GET THIS BOOKEnterprise Master Data Management (Paperback)

The Only Complete Technical Primer for MDM Planners, Architects, and Implementers Companies moving toward flexible SOA architectures often face difficult information management and integration challenges. The master data they rely on is often stored and managed in ways that are redundant, inconsistent, inaccessible, non-standardized, and poorly governed. Using Master Data Management (MDM), organizations can regain control of their master data, improve corresponding business processes, and maximize its value in SOA environments. Enterprise Master Data Management provides an authoritative, vendor-independent MDM

Master Data Management in Practice

Master Data Management in Practice
  • Author : Dalton Cervo,Mark Allen
  • Publisher : John Wiley & Sons
  • Release Date : 2011-07-05
  • ISBN : 9780470910559
GET THIS BOOKMaster Data Management in Practice

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,

Smarter Modeling of IBM InfoSphere Master Data Management Solutions

Smarter Modeling of IBM InfoSphere Master Data Management Solutions
  • Author : Jan-Bernd Bracht,Joerg Rehr,Markus Siebert,Rouven Thimm,IBM Redbooks
  • Publisher : IBM Redbooks
  • Release Date : 2012-08-09
  • ISBN : 9780738436807
GET THIS BOOKSmarter Modeling of IBM InfoSphere Master Data Management Solutions

This IBM® Redbooks® publication presents a development approach for master data management projects, and in particular, those projects based on IBM InfoSphere® MDM Server. The target audience for this book includes Enterprise Architects, Information, Integration and Solution Architects and Designers, Developers, and Product Managers. Master data management combines a set of processes and tools that defines and manages the non-transactional data entities of an organization. Master data management can provide processes for collecting, consolidating, persisting, and distributing this data throughout

Requirements for an Mdm Solution

Requirements for an Mdm Solution
  • Author : Vicki McCracken
  • Publisher : Createspace Independent Publishing Platform
  • Release Date : 2016-11-09
  • ISBN : 1533555176
GET THIS BOOKRequirements for an Mdm Solution

Working on Requirements for a Master Data Management solution and looking for thoughts on how to approach the requirements? The focus of this guide is to highlight a proven approach for requirements gathering and documentation for Master Data Management solutions. Requirements gathering and documentation activities are similar, regardless of the type of project. What differs is the approach, the emphasis of specific activities, and the content of work products. MDM projects do not come along often; this guide can serve

MASTER DATA MANAGEMENT AND DATA GOVERNANCE, 2/E

MASTER DATA MANAGEMENT AND DATA GOVERNANCE, 2/E
  • Author : Alex Berson,Larry Dubov
  • Publisher : McGraw Hill Professional
  • Release Date : 2010-12-06
  • ISBN : 9780071744591
GET THIS BOOKMASTER DATA MANAGEMENT AND DATA GOVERNANCE, 2/E

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

The Practitioner's Guide to Data Quality Improvement

The Practitioner's Guide to Data Quality Improvement
  • Author : David Loshin
  • Publisher : Elsevier
  • Release Date : 2010-11-22
  • ISBN : 0080920349
GET THIS BOOKThe Practitioner's Guide to Data Quality Improvement

The Practitioner's Guide to Data Quality Improvement offers a comprehensive look at data quality for business and IT, encompassing people, process, and technology. It shares the fundamentals for understanding the impacts of poor data quality, and guides practitioners and managers alike in socializing, gaining sponsorship for, planning, and establishing a data quality program. It demonstrates how to institute and run a data quality program, from first thoughts and justifications to maintenance and ongoing metrics. It includes an in-depth look at

Multi-Domain Master Data Management: Advanced MDM and Data Governance in Practice

Multi-Domain Master Data Management: Advanced MDM and Data Governance in Practice
  • Author : Anonim
  • Publisher : Unknown
  • Release Date : 2022-10-05
  • ISBN : OCLC:972068925
GET THIS BOOKMulti-Domain Master Data Management: Advanced MDM and Data Governance in Practice

Master Data Management

Master Data Management
  • Author : David Loshin
  • Publisher : Morgan Kaufmann
  • Release Date : 2010-07-28
  • ISBN : 0080921213
GET THIS BOOKMaster Data Management

The key to a successful MDM initiative isn’t technology or methods, it’s people: the stakeholders in the organization and their complex ownership of the data that the initiative will affect. Master Data Management equips you with a deeply practical, business-focused way of thinking about MDM—an understanding that will greatly enhance your ability to communicate with stakeholders and win their support. Moreover, it will help you deserve their support: you’ll master all the details involved in planning

Data Stewardship

Data Stewardship
  • Author : David Plotkin
  • Publisher : Newnes
  • Release Date : 2013-09-16
  • ISBN : 9780124104457
GET THIS BOOKData Stewardship

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.

DAMA-DMBOK

DAMA-DMBOK
  • Author : Dama International
  • Publisher : Unknown
  • Release Date : 2017
  • ISBN : 1634622340
GET THIS BOOKDAMA-DMBOK

Defining a set of guiding principles for data management and describing how these principles can be applied within data management functional areas; Providing a functional framework for the implementation of enterprise data management practices; including widely adopted practices, methods and techniques, functions, roles, deliverables and metrics; Establishing a common vocabulary for data management concepts and serving as the basis for best practices for data management professionals. DAMA-DMBOK2 provides data management and IT professionals, executives, knowledge workers, educators, and researchers with

Master Data Management and Customer Data Integration for a Global Enterprise

Master Data Management and Customer Data Integration for a Global Enterprise
  • Author : Alex Berson,Larry Dubov
  • Publisher : McGraw Hill Professional
  • Release Date : 2007-05-22
  • ISBN : 9780071510899
GET THIS BOOKMaster Data Management and Customer Data Integration for a Global Enterprise

Transform your business into a customer-centric enterprise Gain a complete and timely understanding of your customers using MDM-CDI and the real-world information contained in this comprehensive volume. Master Data Management and Customer Data Integration for a Global Enterprise explains how to grow revenue, reduce administrative costs, and improve client retention by adopting a customer-focused business framework. Learn to build and use customer hubs and associated technologies, secure and protect confidential corporate and customer information, provide personalized services, and set up

Data Management at Scale

Data Management at Scale
  • Author : Piethein Strengholt
  • Publisher : "O'Reilly Media, Inc."
  • Release Date : 2020-07-29
  • ISBN : 9781492054733
GET THIS BOOKData Management at Scale

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

Master Data Management for SaaS Applications

Master Data Management for SaaS Applications
  • Author : Whei-Jen Chen,Bhavani Eshwar,Ramya Rajendiran,Shettigar Srinivas,Manjunath B Subramanian,Bharathi Venkatasubramanian,IBM Redbooks
  • Publisher : IBM Redbooks
  • Release Date : 2014-10-19
  • ISBN : 9780738440040
GET THIS BOOKMaster Data Management for SaaS Applications

Enterprises today understand the value of employing a master data management (MDM) solution for managing and governing mission critical information assets. chief data officers and chief information officers drive MDM initiatives with IBM® InfoSphere® Master Data Management to improve business results and operational efficiencies, which can help to lower costs and to reduce the risk of using untrusted master information in business process. Cloud computing introduces new considerations where enterprise IT architectures are extended beyond the corporate networks into the