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Multi Domain Master Data Management

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Multi Domain Master Data Management

Multi Domain Master Data Management Book
Author : Mark Allen,Dalton Cervo
Publisher : Morgan Kaufmann Publishers
Release : 2015-03-25
ISBN : 9780128008355
Language : En, Es, Fr & De

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Book Description :

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 Book
Author : Mark Allen,Dalton Cervo
Publisher : Morgan Kaufmann
Release : 2015-03-21
ISBN : 0128011475
Language : En, Es, Fr & De

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Book Description :

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.

Master Data Management in Practice

Master Data Management in Practice Book
Author : Dalton Cervo,Mark Allen
Publisher : John Wiley & Sons
Release : 2011-05-25
ISBN : 111808568X
Language : En, Es, Fr & De

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Book Description :

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.

MASTER DATA MANAGEMENT AND DATA GOVERNANCE 2 E

MASTER DATA MANAGEMENT AND DATA GOVERNANCE  2 E Book
Author : Alex Berson,Larry Dubov
Publisher : McGraw Hill Professional
Release : 2010-12-06
ISBN : 0071744592
Language : En, Es, Fr & De

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Book Description :

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

Building 360 Degree Information Applications

Building 360 Degree Information Applications Book
Author : Whei-Jen Chen,Bruce Adams,Colin Dean,Soma Shekar Naganna,Uday K Nandam,Edward Thorne,IBM Redbooks
Publisher : IBM Redbooks
Release : 2014-10-01
ISBN : 0738439924
Language : En, Es, Fr & De

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Book Description :

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 Probabilistic Matching Engine for InfoSphere BigInsightsTM (PME for BigInsights). It gives you an overview, describes the architecture, and presents use cases that you can use to accomplish the following tasks: Understand the core capabilities of Watson Explorer, InfoSphere MDM, and PME for BigInsights. Realize the full potential of Watson Explorer applications. Describe the integration and value of the combination of Watson Explorer and InfoSphere MDM. Build a 360-degree information application. Learn by example by following hands-on lab scenarios. /ul>

Master Data Management in Practice

Master Data Management in Practice Book
Author : Dalton Cervo,Mark Allen
Publisher : John Wiley & Sons
Release : 2011-07-05
ISBN : 0470910550
Language : En, Es, Fr & De

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Book Description :

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.

Smarter Modeling of IBM InfoSphere Master Data Management Solutions

Smarter Modeling of IBM InfoSphere Master Data Management Solutions Book
Author : Jan-Bernd Bracht,Joerg Rehr,Markus Siebert,Rouven Thimm,IBM Redbooks
Publisher : IBM Redbooks
Release : 2012-08-09
ISBN : 0738436801
Language : En, Es, Fr & De

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Book Description :

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 an organization. IBM InfoSphere Master Data Management Server creates trusted views of master data that can improve applications and business processes. You can use it to gain control over business information by managing and maintaining a complete and accurate view of master data. You also can use InfoSphere MDM Server to extract maximum value from master data by centralizing multiple data domains. InfoSphere MDM Server provides a comprehensive set of prebuilt business services that support a full range of master data management functionality.

Managing Data in Motion

Managing Data in Motion Book
Author : April Reeve
Publisher : Newnes
Release : 2013-02-26
ISBN : 0123977916
Language : En, Es, Fr & De

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Book Description :

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 hundreds to thousands computer systems that have been built, purchased, and acquired over time. The data from these various systems needs to be integrated for reporting and analysis, shared for business transaction processing, and converted from one format to another when old systems are replaced and new systems are acquired. The management of the "data in motion" in organizations is rapidly becoming one of the biggest concerns for business and IT management. Data warehousing and conversion, real-time data integration, and cloud and "big data" applications are just a few of the challenges facing organizations and businesses today. Managing Data in Motion tackles these and other topics in a style easily understood by business and IT managers as well as programmers and architects. Presents a vendor-neutral overview of the different technologies and techniques for moving data between computer systems including the emerging solutions for unstructured as well as structured data types Explains, in non-technical terms, the architecture and components required to perform data integration Describes how to reduce the complexity of managing system interfaces and enable a scalable data architecture that can handle the dimensions of "Big Data"

Master Data A Complete Guide 2019 Edition

Master Data A Complete Guide   2019 Edition Book
Author : Gerardus Blokdyk
Publisher : 5starcooks
Release : 2019-06-27
ISBN : 9780655806042
Language : En, Es, Fr & De

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Book Description :

Are there multiple MDM solutions, in multiple domains, that are not integrated with each other? How is aggregated data validated for relevance and accuracy? Is there a significant savings in archival space when master data management processes are implemented? Are there different classes of users that will have different reporting requirements and capabilities? Why do you need Master Data Management? This powerful Master Data self-assessment will make you the trusted Master Data domain leader by revealing just what you need to know to be fluent and ready for any Master Data challenge. How do I reduce the effort in the Master Data work to be done to get problems solved? How can I ensure that plans of action include every Master Data task and that every Master Data outcome is in place? How will I save time investigating strategic and tactical options and ensuring Master Data costs are low? How can I deliver tailored Master Data 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 Master Data essentials are covered, from every angle: the Master Data self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Master Data outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Master Data 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 Master Data are maximized with professional results. Your purchase includes access details to the Master Data 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 - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Master Data Checklists - Project management checklists and templates to assist with implementation 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.

Modern Data Strategy

Modern Data Strategy Book
Author : Mike Fleckenstein,Lorraine Fellows
Publisher : Springer
Release : 2018-03-13
ISBN : 3319689932
Language : En, Es, Fr & De

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Book Description :

This book contains practical steps business users can take to implement data management in a number of ways, including data governance, data architecture, master data management, business intelligence, and others. It defines data strategy, and covers chapters that illustrate how to align a data strategy with the business strategy, a discussion on valuing data as an asset, the evolution of data management, and who should oversee a data strategy. This provides the user with a good understanding of what a data strategy is and its limits. Critical to a data strategy is the incorporation of one or more data management domains. Chapters on key data management domains—data governance, data architecture, master data management and analytics, offer the user a practical approach to data management execution within a data strategy. The intent is to enable the user to identify how execution on one or more data management domains can help solve business issues. This book is intended for business users who work with data, who need to manage one or more aspects of the organization’s data, and who want to foster an integrated approach for how enterprise data is managed. This book is also an excellent reference for students studying computer science and business management or simply for someone who has been tasked with starting or improving existing data management.

Big Data Imperatives

Big Data Imperatives Book
Author : Soumendra Mohanty,Madhu Jagadeesh,Harsha Srivatsa
Publisher : Apress
Release : 2013-08-23
ISBN : 1430248734
Language : En, Es, Fr & De

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Book Description :

Big Data Imperatives, focuses on resolving the key questions on everyone’s mind: Which data matters? Do you have enough data volume to justify the usage? How you want to process this amount of data? How long do you really need to keep it active for your analysis, marketing, and BI applications? Big data is emerging from the realm of one-off projects to mainstream business adoption; however, the real value of big data is not in the overwhelming size of it, but more in its effective use. This book addresses the following big data characteristics: Very large, distributed aggregations of loosely structured data – often incomplete and inaccessible Petabytes/Exabytes of data Millions/billions of people providing/contributing to the context behind the data Flat schema's with few complex interrelationships Involves time-stamped events Made up of incomplete data Includes connections between data elements that must be probabilistically inferred Big Data Imperatives explains 'what big data can do'. It can batch process millions and billions of records both unstructured and structured much faster and cheaper. Big data analytics provide a platform to merge all analysis which enables data analysis to be more accurate, well-rounded, reliable and focused on a specific business capability. Big Data Imperatives describes the complementary nature of traditional data warehouses and big-data analytics platforms and how they feed each other. This book aims to bring the big data and analytics realms together with a greater focus on architectures that leverage the scale and power of big data and the ability to integrate and apply analytics principles to data which earlier was not accessible. This book can also be used as a handbook for practitioners; helping them on methodology,technical architecture, analytics techniques and best practices. At the same time, this book intends to hold the interest of those new to big data and analytics by giving them a deep insight into the realm of big data.

Requirements for an Mdm Solution

Requirements for an Mdm Solution Book
Author : Vicki McCracken
Publisher : Createspace Independent Publishing Platform
Release : 2016-11-09
ISBN : 9781533555175
Language : En, Es, Fr & De

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Book Description :

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 as a roadmap for how to approach requirements for an MDM solution. The guide begins with a brief overview of Master Data Management. The guide then steps through the requirements activities and work products for each Solution Development Lifecycle phase. The requirements work products are described, along with an example of each work product. Below is a summary of the phases and primary work products produced: - Alignment: where the Business Requirements, including solution Features are defined - Solution Scoping: where the Solution Requirements, including Information Requirements, Business Rules, and Epics (Functions), are defined - Functional Requirements: where a given Epic (Function) is elaborated on, including inputs, outputs, data updates, business rules, an activity diagram, and associated User Stories - User Stories: where Acceptance Criteria is defined Keys to success are identified for the various phases. In addition, for Solution Scoping, there is a section which focuses on how to approach, plan, and track Solution Scoping. Finally, there is an overview of Change Management and Traceability. The Guide contains 44 illustrations, 32 of which are examples of work products. It includes many visual work products, which help to ensure a consistent understanding of the solution. The guide assumes some familiarity with requirements gathering techniques and work products; it does not focus on techniques. The guide demonstrates how to structure the various requirements activities, to successfully gather and document requirements for an MDM solution. The guide also does not focus on formulating an MDM Business Case, MDM Architecture, or technical system requirements. The guide is intended to assist requirements analysts in formulating an approach for how to gather and document requirements for a Master Data Management solution.

Navigating the Labyrinth

Navigating the Labyrinth Book
Author : Laura Sebastian-Coleman
Publisher : Technics Publications
Release : 2018-05-09
ISBN : 1634623770
Language : En, Es, Fr & De

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Book Description :

An Executive Guide to Data Management

Master Data Management Data Governance

Master Data Management   Data Governance Book
Author : Berson,Alex
Publisher : Tata McGraw-Hill Education
Release : 2021-10-22
ISBN : 9780071077323
Language : En, Es, Fr & De

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Book Description :

Download Master Data Management Data Governance book written by Berson,Alex, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Self Service Data Analytics and Governance for Managers

Self Service Data Analytics and Governance for Managers Book
Author : Nathan E. Myers,Gregory Kogan
Publisher : John Wiley & Sons
Release : 2021-05-12
ISBN : 111977330X
Language : En, Es, Fr & De

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Book Description :

Project governance, investment governance, and risk governance precepts are woven together in Self-Service Data Analytics and Governance for Managers, equipping managers to structure the inevitable chaos that can result as end-users take matters into their own hands Motivated by the promise of control and efficiency benefits, the widespread adoption of data analytics tools has created a new fast-moving environment of digital transformation in the finance, accounting, and operations world, where entire functions spend their days processing in spreadsheets. With the decentralization of application development as users perform their own analysis on data sets and automate spreadsheet processing without the involvement of IT, governance must be revisited to maintain process control in the new environment. In this book, emergent technologies that have given rise to data analytics and which form the evolving backdrop for digital transformation are introduced and explained, and prominent data analytics tools and capabilities will be demonstrated based on real world scenarios. The authors will provide a much-needed process discovery methodology describing how to survey the processing landscape to identify opportunities to deploy these capabilities. Perhaps most importantly, the authors will digest the mature existing data governance, IT governance, and model governance frameworks, but demonstrate that they do not comprehensively cover the full suite of data analytics builds, leaving a considerable governance gap. This book is meant to fill the gap and provide the reader with a fit-for-purpose and actionable governance framework to protect the value created by analytics deployment at scale. Project governance, investment governance, and risk governance precepts will be woven together to equip managers to structure the inevitable chaos that can result as end-users take matters into their own hands.

Beyond Big Data

Beyond Big Data Book
Author : Martin Oberhofer,Eberhard Hechler,Ivan Milman,Scott Schumacher,Dan Wolfson
Publisher : IBM Press
Release : 2014-10-17
ISBN : 0133509818
Language : En, Es, Fr & De

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Book Description :

Drive Powerful Business Value by Extending MDM to Social, Mobile, Local, and Transactional Data Enterprises have long relied on Master Data Management (MDM) to improve customer-related processes. But MDM was designed primarily for structured data. Today, crucial information is increasingly captured in unstructured, transactional, and social formats: from tweets and Facebook posts to call center transcripts. Even with tools like Hadoop, extracting usable insight is difficult—often, because it’s so difficult to integrate new and legacy data sources. In Beyond Big Data, five of IBM’s leading data management experts introduce powerful new ways to integrate social, mobile, location, and traditional data. Drawing on pioneering experience with IBM’s enterprise customers, they show how Social MDM can help you deepen relationships, improve prospect targeting, and fully engage customers through mobile channels. Business leaders and practitioners will discover powerful new ways to combine social and master data to improve performance and uncover new opportunities. Architects and other technical leaders will find a complete reference architecture, in-depth coverage of relevant technologies and use cases, and domain-specific best practices for their own projects. Coverage Includes How Social MDM extends fundamental MDM concepts and techniques Architecting Social MDM: components, functions, layers, and interactions Identifying high value relationships: person to product and person to organization Mapping Social MDM architecture to specific products and technologies Using Social MDM to create more compelling customer experiences Accelerating your transition to highly-targeted, contextual marketing Incorporating mobile data to improve employee productivity Avoiding privacy and ethical pitfalls throughout your ecosystem Previewing Semantic MDM and other emerging trends

T Bytes Digital Customer Experience

T Bytes Digital Customer Experience Book
Author : ITShades.com
Publisher : EGBG Services LLC
Release : 2020-10-30
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

This document brings together a set of latest data points and publicly available information relevant for Digital Customer Experience Technology. We are very excited to share this content and believe that readers will benefit from this periodic publication immensely.

Oceanographic and Marine Cross Domain Data Management for Sustainable Development

Oceanographic and Marine Cross Domain Data Management for Sustainable Development Book
Author : Diviacco, Paolo,Leadbetter, Adam,Glaves, Helen
Publisher : IGI Global
Release : 2016-09-23
ISBN : 1522507019
Language : En, Es, Fr & De

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Book Description :

As human activity makes a greater impact on the environment, sustainability becomes an increasingly imperative goal. With the assistance of current technological innovations, environmental systems can be better preserved. Oceanographic and Marine Cross-Domain Data Management for Sustainable Development is a pivotal resource for the latest research on the collection of environmental data for sustainability initiatives and the associate challenges with this data acquisition. Highlighting various technological, scientific, semantic, and semiotic perspectives, this book is ideally designed for researchers, technology developers, practitioners, students, and professionals in the field of environmental science and technology.

Data Management at Scale

Data Management at Scale Book
Author : Piethein Strengholt
Publisher : O'Reilly Media
Release : 2020-07-29
ISBN : 1492054755
Language : En, Es, Fr & De

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Book Description :

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 compliance and governance staff will learn how to build a modern scalable data landscape using the Scaled Architecture, which you can introduce incrementally without a large upfront investment. Author Piethein Strengholt provides blueprints, principles, observations, best practices, and patterns to get you up to speed. Examine data management trends, including technological developments, regulatory requirements, and privacy concerns Go deep into the Scaled Architecture and learn how the pieces fit together Explore data governance and data security, master data management, self-service data marketplaces, and the importance of metadata