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

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

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

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

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

Enterprise Master Data Management

Enterprise Master Data Management
  • Author : Allen Dreibelbis,Eberhard Hechler,Ivan Milman,Martin Oberhofer,Paul van Run,Dan Wolfson
  • Publisher : Pearson Education
  • Release Date : 2008-06-05
  • ISBN : 9780132704274
GET THIS BOOKEnterprise Master Data Management

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

Building 360-Degree Information Applications

Building 360-Degree Information Applications
  • Author : Whei-Jen Chen,Bruce Adams,Colin Dean,Soma Shekar Naganna,Uday K Nandam,Edward Thorne,IBM Redbooks
  • Publisher : IBM Redbooks
  • Release Date : 2014-10-01
  • ISBN : 9780738439921
GET THIS BOOKBuilding 360-Degree Information Applications

Today's businesses, applications, social media, and online transactions generate more data than ever before. This data can be explored and analyzed to provide tremendous business value. IBM® WatsonTM Explorer and IBM InfoSphere® Master Data Management (InfoSphere MDM) enable organizations to simultaneously explore and derive insights from enterprise data that was traditionally stored in "silos" in enterprise applications, different data repositories, and in different data formats. This IBM Redbooks® publication provides information about Watson Explorer 9.0, InfoSphere MDM, and IBM InfoSphere MDM

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

Data Mesh

Data Mesh
  • Author : Zhamak Dehghani
  • Publisher : "O'Reilly Media, Inc."
  • Release Date : 2022-03-08
  • ISBN : 9781492092346
GET THIS BOOKData Mesh

We're at an inflection point in data, where our data management solutions no longer match the complexity of organizations, the proliferation of data sources, and the scope of our aspirations to get value from data with AI and analytics. In this practical book, author Zhamak Dehghani introduces data mesh, a decentralized sociotechnical paradigm drawn from modern distributed architecture that provides a new approach to sourcing, sharing, accessing, and managing analytical data at scale. Dehghani guides practitioners, architects, technical leaders, and

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

Managing Data in Motion

Managing Data in Motion
  • Author : April Reeve
  • Publisher : Newnes
  • Release Date : 2013-02-26
  • ISBN : 9780123977915
GET THIS BOOKManaging Data in Motion

Managing Data in Motion describes techniques that have been developed for significantly reducing the complexity of managing system interfaces and enabling scalable architectures. Author April Reeve brings over two decades of experience to present a vendor-neutral approach to moving data between computing environments and systems. Readers will learn the techniques, technologies, and best practices for managing the passage of data between computer systems and integrating disparate data together in an enterprise environment. The average enterprise's computing environment is comprised of

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

Entity Information Life Cycle for Big Data

Entity Information Life Cycle for Big Data
  • Author : John R. Talburt,Yinle Zhou
  • Publisher : Morgan Kaufmann
  • Release Date : 2015-04-20
  • ISBN : 9780128006658
GET THIS BOOKEntity Information Life Cycle for Big Data

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