Master 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, graphs, and charts, in planning, implementing, and managing MDM.

Produk Detail:

  • Author : Dalton Cervo
  • Publisher : John Wiley & Sons
  • Pages : 272 pages
  • ISBN : 0470910550
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKMaster Data Management in Practice

Master Data Management in Practice

Master Data Management in Practice
  • Author : Dalton Cervo,Mark Allen
  • Publisher : John Wiley & Sons
  • Release : 05 July 2011
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,

Master Data Management

Master Data Management
  • Author : David Loshin
  • Publisher : Morgan Kaufmann
  • Release : 28 July 2010
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

Multi-Domain Master Data Management

Multi-Domain Master Data Management
  • Author : Mark Allen,Dalton Cervo
  • Publisher : Morgan Kaufmann
  • Release : 21 March 2015
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 : 11 February 2018
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 AND DATA GOVERNANCE, 2/E

MASTER DATA MANAGEMENT AND DATA GOVERNANCE, 2/E
  • Author : Alex Berson,Larry Dubov
  • Publisher : McGraw Hill Professional
  • Release : 06 December 2010
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

DAMA-DMBOK

DAMA-DMBOK
  • Author : Dama International
  • Publisher : Unknown Publisher
  • Release : 24 May 2022
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

Enterprise Data Governance

Enterprise Data Governance
  • Author : Pierre Bonnet
  • Publisher : John Wiley & Sons
  • Release : 04 March 2013
GET THIS BOOKEnterprise Data Governance

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,

Data Management at Scale

Data Management at Scale
  • Author : Piethein Strengholt
  • Publisher : "O'Reilly Media, Inc."
  • Release : 29 July 2020
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

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 : 09 August 2012
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

A Practical Guide to Managing Reference Data with IBM InfoSphere Master Data Management Reference Data Management Hub

A Practical Guide to Managing Reference Data with IBM InfoSphere Master Data Management Reference Data Management Hub
  • Author : Whei-Jen Chen,John Baldwin,Thomas Dunn,Mike Grasselt,Shabbar Hussain,Dan Mandelstein,Ivan Milman,Erik A O'Neill,Sushain Pandit,Ralph Tamlyn,Fenglian Xu,IBM Redbooks
  • Publisher : IBM Redbooks
  • Release : 06 May 2013
GET THIS BOOKA Practical Guide to Managing Reference Data with IBM InfoSphere Master Data Management Reference Data Management Hub

IBM® InfoSphere® Master Data Management Reference Data Management Hub (InfoSphere MDM Ref DM Hub) is designed as a ready-to-run application that provides the governance, process, security, and audit control for managing reference data as an enterprise standard, resulting in fewer errors, reduced business risk and cost savings. This IBM Redbooks® publication describes where InfoSphere MDM Ref DM Hub fits into information management reference architecture. It explains the end-to-end process of an InfoSphere MDM Ref DM Hub implementation including the considerations

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 : 19 October 2014
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

The DAMA Dictionary of Data Management

The DAMA Dictionary of Data Management
  • Author : Susan Earley
  • Publisher : Technics Publications Llc
  • Release : 24 May 2022
GET THIS BOOKThe DAMA Dictionary of Data Management

A glossary of over 2,000 terms which provides a common data management vocabulary for IT and Business professionals, and is a companion to the DAMA Data Management Body of Knowledge (DAMA-DMBOK). This glossary is a physical book – it also comes in electronic format as a CD-ROM (see ISBN 9781935504115). Topics include: • Analytics & Data Mining • Architecture • Artificial Intelligence • Business Analysis • DAMA & Professional Development • Databases & Database Design • Database Administration • Data Governance & Stewardship • Data Management • Data Modeling • Data Movement & Integration • Data Quality Management • Data Security

The Practitioner's Guide to Data Quality Improvement

The Practitioner's Guide to Data Quality Improvement
  • Author : David Loshin
  • Publisher : Elsevier
  • Release : 22 November 2010
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

Business Intelligence

Business Intelligence
  • Author : David Loshin
  • Publisher : Newnes
  • Release : 27 November 2012
GET THIS BOOKBusiness Intelligence

Business Intelligence: The Savvy Managers Guide, Second Edition, discusses the objectives and practices for designing and deploying a business intelligence (BI) program. It looks at the basics of a BI program, from the value of information and the mechanics of planning for success to data model infrastructure, data preparation, data analysis, integration, knowledge discovery, and the actual use of discovered knowledge. Organized into 21 chapters, this book begins with an overview of the kind of knowledge that can be exposed and