MASTER DATA MANAGEMENT AND DATA GOVERNANCE, 2/E

Author: Alex Berson,Larry Dubov

Publisher: McGraw Hill Professional

ISBN: 0071744592

Category: Computers

Page: 512

View: 5404

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
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Enterprise Master Data Management

An SOA Approach to Managing Core Information

Author: Allen Dreibelbis,Eberhard Hechler,Ivan Milman,Martin Oberhofer,Paul van Run,Dan Wolfson

Publisher: Pearson Education

ISBN: 0132704277

Category: Computers

Page: 656

View: 9975

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 technical reference for practitioners: architects, technical analysts, consultants, solution designers, and senior IT decisionmakers. Written by the IBM® data management innovators who are pioneering MDM, this book systematically introduces MDM’s key concepts and technical themes, explains its business case, and illuminates how it interrelates with and enables SOA. Drawing on their experience with cutting-edge projects, the authors introduce MDM patterns, blueprints, solutions, and best practices published nowhere else—everything you need to establish a consistent, manageable set of master data, and use it for competitive advantage. Coverage includes How MDM and SOA complement each other Using the MDM Reference Architecture to position and design MDM solutions within an enterprise Assessing the value and risks to master data and applying the right security controls Using PIM-MDM and CDI-MDM Solution Blueprints to address industry-specific information management challenges Explaining MDM patterns as enablers to accelerate consistent MDM deployments Incorporating MDM solutions into existing IT landscapes via MDM Integration Blueprints Leveraging master data as an enterprise asset—bringing people, processes, and technology together with MDM and data governance Best practices in MDM deployment, including data warehouse and SAP integration
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Enterprise Data Governance

Reference and Master Data Management Semantic Modeling

Author: Pierre Bonnet

Publisher: John Wiley & Sons

ISBN: 1118622537

Category: Computers

Page: 320

View: 6254

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, but will invariably turn towards their IT department in search of the answers. However, the majority of IT systems that have been developed within businesses are overly complex, badly adapted, and in many cases obsolete; these systems have often become a source of data or process fragility for the business. It is in this context that the management of ‘reference and master data’ or Master Data Management (MDM) and semantic modeling can intervene in order to straighten out the management of data in a forward-looking and sustainable manner. This book shows how company executives and IT managers can take these new challenges, as well as the advantages of using reference and master data management, into account in answering questions such as: Which data governance functions are available? How can IT be better aligned with business regulations? What is the return on investment? How can we assess intangible IT assets and data? What are the principles of semantic modeling? What is the MDM technical architecture? In these ways they will be better able to deliver on their responsibilities to their organizations, and position them for growth and robust data management and integrity in the future.
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Managing Data in Motion

Data Integration Best Practice Techniques and Technologies

Author: April Reeve

Publisher: Newnes

ISBN: 0123977916

Category: Computers

Page: 204

View: 2313

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"
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Microsoft SQL Server 2012 Master Data Services 2/E

Author: Tyler Graham

Publisher: McGraw Hill Professional

ISBN: 0071797866

Category: Computers

Page: 416

View: 8022

Deploy and Maintain an Integrated MDS Architecture Harness your master data and grow revenue while reducing administrative costs. Thoroughly revised to cover the latest MDS features, Microsoft SQL Server 2012 Master Data Services, Second Edition shows how to implement and manage a centralized, customer-focused MDS framework. See how to accurately model business processes, load and cleanse data, enforce business rules, eliminate redundancies, and publish data to external systems. Security, SOA and Web services, and legacy data integration are also covered in this practical guide. Install Microsoft SQL Server 2012 Master Data Services Build custom MDS models and entityspecific staging tables Load and cleanse data from disparate sources Logically group assets into collections and hierarchies Ensure integrity using versioning and business rules Configure security at functional, object, and attribute levels Extend functionality with SOA and Web services Facilitate collaboration using the MDS Excel Add-In Export data to subscribing systems through SQL views
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Business Metadata: Capturing Enterprise Knowledge

Author: W.H. Inmon,Bonnie O'Neil,Lowell Fryman

Publisher: Morgan Kaufmann

ISBN: 9780080552200

Category: Computers

Page: 312

View: 3640

Business Metadata: Capturing Enterprise Knowledge is the first book that helps businesses capture corporate (human) knowledge and unstructured data, and offer solutions for codifying it for use in IT and management. Written by Bill Inmon, one of the fathers of the data warehouse and well-known author, the book is filled with war stories, examples, and cases from current projects. It includes a complete metadata acquisition methodology and project plan to guide readers every step of the way, and sample unstructured metadata for use in self-testing and developing skills. This book is recommended for IT professionals, including those in consulting, working on systems that will deliver better knowledge management capability. This includes people in these positions: data architects, data analysts, SOA architects, metadata analysts, repository (metadata data warehouse) managers as well as vendors that have a metadata component as part of their systems or tools. First book that helps businesses capture corporate (human) knowledge and unstructured data, and offer solutions for codifying it for use in IT and management Written by Bill Inmon, one of the fathers of the data warehouse and well-known author, and filled with war stories, examples, and cases from current projects Very practical, includes a complete metadata acquisition methodology and project plan to guide readers every step of the way Includes sample unstructured metadata for use in self-testing and developing skills
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Smarter Modeling of IBM InfoSphere Master Data Management Solutions

Author: Jan-Bernd Bracht,Joerg Rehr,Markus Siebert,Rouven Thimm,IBM Redbooks

Publisher: IBM Redbooks

ISBN: 0738436801

Category: Computers

Page: 596

View: 9944

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.
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Corporate Data Quality

Prerequisite for Successful Business Models

Author: Boris Otto,Hubert Österle

Publisher: epubli

ISBN: 3737575932

Category: Business & Economics

Page: N.A

View: 6108

Data is the foundation of the digital economy. Industry 4.0 and digital services are producing so far unknown quantities of data and make new business models possible. Under these circumstances, data quality has become the critical factor for success. This book presents a holistic approach for data quality management and presents ten case studies about this issue. It is intended for practitioners dealing with data quality management and data governance as well as for scientists. The book was written at the Competence Center Corporate Data Quality (CC CDQ) in close cooperation between researchers from the University of St. Gallen and Fraunhofer IML as well as many representatives from more than 20 major corporations. Chapter 1 introduces the role of data in the digitization of business and society and describes the most important business drivers for data quality. It presents the Framework for Corporate Data Quality Management and introduces essential terms and concepts. Chapter 2 presents practical, successful examples of the management of the quality of master data based on ten cases studies that were conducted by the CC CDQ. The case studies cover every aspect of the Framework for Corporate Data Quality Management. Chapter 3 describes selected tools for master data quality management. The three tools have been distinguished through their broad applicability (method for DQM strategy development and DQM maturity assessment) and their high level of innovation (Corporate Data League). Chapter 4 summarizes the essential factors for the successful management of the master data quality and provides a checklist of immediate measures that should be addressed immediately after the start of a data quality management project. This guarantees a quick start into the topic and provides initial recommendations for actions to be taken by project and line managers. Please also check out the book's homepage at http://www.cdq-book.org/
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Architecture and Patterns for IT Service Management, Resource Planning, and Governance: Making Shoes for the Cobbler's Children

Author: Charles T. Betz

Publisher: Elsevier

ISBN: 008048834X

Category: Computers

Page: 424

View: 2364

Architecture and Patterns for IT Service Management, Resource Planning, and Governance: Making Shoes for the Cobbler's Children provides an independent examination of developments in Enterprise Resource Planning for Information. Major companies, research firms, and vendors are offering Enterprise Resource Planning for Information Technology, which they label as ERP for IT, IT Resource Planning and related terms. This book presents on-the-ground coverage of enabling IT governance in architectural detail, which can be used to define a strategy for immediate execution. It fills the gap between high-level guidance on IT governance and detailed discussions about specific vendor technologies. It provides a unique value chain approach to integrating the COBIT, ITIL, and CMM frameworks into a coherent, unified whole. It presents a field-tested, detailed conceptual information model with definitions and usage scenarios, mapped to both process and system architectures. This book is recommended for practitioners and managers engaged in IT support in large companies, particularly those who are information architects, enterprise architects, senior software engineers, program/project managers, and IT managers/directors.
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Data Analytics and Management in Data Intensive Domains

XVIII International Conference, DAMDID/RCDL 2016, Ershovo, Moscow, Russia, October 11 -14, 2016, Revised Selected Papers

Author: Leonid Kalinichenko,Sergei O. Kuznetsov,Yannis Manolopoulos

Publisher: Springer

ISBN: 3319571354

Category: Computers

Page: 281

View: 8115

This book constitutes the refereed proceedings of the 28th International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2016, held in Ershovo, Moscow, Russia, in October 2016. The 16 revised full papers presented together with one invited talk and two keynote papers were carefully reviewed and selected from 57 submissions. The papers are organized in topical sections on semantic modeling in data intensive domains; knowledge and learning management; text mining; data infrastructures in astrophysics; data analysis; research infrastructures; position paper.
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Information Systems Reengineering for Modern Business Systems: ERP, Supply Chain and E-Commerce Management Solutions

ERP, Supply Chain and E-Commerce Management Solutions

Author: Valverde, Raul

Publisher: IGI Global

ISBN: 1466601566

Category: Business & Economics

Page: 299

View: 6927

Businesses must constantly adapt to a dynamically changing environment that requires choosing an adaptive and dynamic information architecture that has the flexibility to support both changes in the business environment and changes in technology. In general, information systems reengineering has the objective of extracting the contents, data structures, and flow of data and process contained within existing legacy systems in order to reconstitute them into a new form for subsequent implementation. Information Systems Reengineering for Modern Business Systems: ERP, Supply Chain and E-Commerce Management Solutions covers different techniques that could be used in industry in order to reengineer business processes and legacy systems into more flexible systems capable of supporting modern trends such as Enterprise Resource Planning (ERP), supply chain management systems and e-commerce. This reference book also covers other issues related to the reengineering of legacy systems, which include risk management and obsolescence management of requirements.
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An Introduction to Enterprise Architecture

Third Edition

Author: Scott A. Bernard

Publisher: AuthorHouse

ISBN: 9781477258019

Category: Business & Economics

Page: 340

View: 4457

An Introduction to Enterprise Architecture is the culmination of several decades of experience that I have gained through work initially as an information technology manager and then as a consultant to executives in the public and private sectors. I wrote this book for three major reasons: (1) to help move business and technology planning from a systems and process-level view to a more strategy-driven enterprise-level view, (2) to promote and explain the emerging profession of EA, and (3) to provide the first textbook on the subject of EA, which is suitable for graduate and undergraduate levels of study. To date, other books on EA have been practitioner books not specifically oriented toward a student who may be learning the subject with little to no previous exposure. Therefore, this book contains references to related academic research and industry best practices, as well as my own observations about potential future practices and the direction of this emerging profession.
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From Active Data Management to Event-Based Systems and More

Papers in Honor of Alejandro Buchmann on the Occasion of His 60th Birthday

Author: Kai Sachs,Ilia Petrov,Pablo Guerrero

Publisher: Springer

ISBN: 3642172261

Category: Computers

Page: 337

View: 8185

Data management has evolved over the years from being strictly associated with database systems, through active databases, to become a topic that has grown beyond the scope of a single field encompassing a large range of subjects, such as distributed systems, event-driven systems, and peer-to-peer and streaming systems. The present collection of works, which sheds light on various facets of data management, is dedicated to Prof. Alejandro Buchmann on the occasion of his 60th birthday. His scientific path looks back on more than thirty years of successful academic life and high-impact research. With this book we celebrate Prof. Buchmann's vision and achievements.
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Active Knowledge Modeling of Enterprises

Author: Frank Lillehagen,John Krogstie

Publisher: Springer Science & Business Media

ISBN: 3540794166

Category: Computers

Page: 436

View: 3081

Enterprise Modeling has been defined as the art of externalizing enterprise knowledge, i.e., representing the core knowledge of the enterprise. Although useful in product design and systems development, for modeling and model-based approaches to have a more profound effect, a shift in modeling approaches and methodologies is necessary. Modeling should become as natural as drawing, sketching and scribbling, and should provide powerful services for capturing work-centric, work-supporting and generative knowledge, for preserving context and ensuring reuse. A solution is the application of Active Knowledge Modeling (AKM). The AKM technology is about discovering, externalizing, expressing, representing, sharing, exploring, configuring, activating, growing and managing enterprise knowledge. An AKM solution is about exploiting the Web as a knowledge engineering medium, and developing knowledge-model-based families of platforms, model-configured workplaces and services. This book was written by the inventors of AKM arising out of their cooperation with both scientists and industrial practitioners over a long period of time, and the authors give examples, directions, methods and services to enable new ways of working, exploiting the AKM approach to enable effective c-business, enterprise design and development, and lifecycle management. Industry managers and design engineers will become aware of the manifold possibilities of, and added values in, IT-supported distributed design processes, and researchers for collaborative design environments will find lots of stimulation and many examples for future developments.
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Application Integration

EAI B2B BPM and SOA

Author: N.A

Publisher: John Wiley & Sons

ISBN: 0470610255

Category: Business & Economics

Page: 256

View: 7623

Application integration assembles methods and tools for organizing exchanges between applications, and intra- and inter-enterprise business processes. A strategic tool for enterprises, it introduces genuine reactivity into information systems facing business changes, and as a result, provides a significant edge in optimizing costs. This book analyzes various aspects of application integration, providing a guide to the alphabet soup behind EAI, A2A, B2B, BAM, BPM, ESB and SOA. It addresses the problems of choosing between the application integration solutions and deploying them successfully. It supplies guidelines for avoiding common errors, exploring the differences between received wisdom and the facts on the ground. The overview of IT urbanization will help introduce English-speaking audiences to a powerful approach to information system flexibility developed in France. A key chapter approaches the analysis and interoperation of service levels in integration projects, while the discussion on deployment methodologies and ROI calculation anchors the theory in the real world. Application Integration: EAI, B2B, BPM and SOA relies on concrete examples and genuine experiences to demonstrate what works – and what doesn’t – in this challenging, topical and important IT domain.
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The DAMA Dictionary of Data Management

Author: Susan Earley

Publisher: Technics Publications Llc

ISBN: 9781935504122

Category: Computers

Page: 254

View: 1932

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 Management • Data Warehousing & Business Intelligence • Document, Record & Content Management • Finance & Accounting • Geospatial Data • Knowledge Management • Marketing & Customer Relationship Management • Meta Data Management • Multi-dimensional & OLAP • Normalization • Object-Orientation • Parallel Database Processing • Planning • Process Management • Project Management • Reference & Master Data Management • Semantic Modeling • Software Development • Standards Organizations • Structured Query Language (SQL) • XML Development
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ERP

The Dynamics of Supply Chain and Process Management

Author: Avraham Shtub,Reuven Karni

Publisher: Springer Science & Business Media

ISBN: 9780387745268

Category: Business & Economics

Page: 281

View: 852

ERP: The Dynamics of Supply Chain and Process Management is a complete updating and expansion of Avraham Shtub’s award-winning 1999 text Enterprise Resource Planning (ERP): The Dynamics of Operations Management. New chapters, written together with his co-author Reuven Karni, cover enterprise process modeling; design of business processes; a complete revision of the original chapter on the integrated order-fulfillment process using ERP; business process management; business process improvement; and a new appendix on simulating process life cycles: using serious games as teaching aids. MERPTM is designed to facilitate the teaching of integrated operations of a business organization with a focus on corporate performance management. It reflects a fully live environment and allows students to participate in a virtual organization made real and dynamic as minute-by-minute business events and conditions unfold. This book is ideal for use in academic and executive programs aimed at teaching students how integrated systems work. It is suitable as a textbook for the basic MBA Operations Management course or as a text for courses on ERP systems and the development of business processes. In an industrial engineering program it could serve to give students their first, and perhaps only, introduction to business issues like market demand and supplier relationships. "I used Avy Shtub’s award-winning 1999 book on ERP and the accompanying Operations Trainer software in several leading MBA programs in the United States and Europe. Most of the courses were delivered in traditional classroom settings but some of them were offered fully online. The current revision and second edition of the book, co-written with Reuven Karni, adds new materials with an emphasis on services and business processes, provides excellent, detailed examples, and revises old ones of the previous edition. The book is nicely complemented and enhanced by the addition of a unique, dynamic, online simulation package MERPTM that represents a major upgrade to the old, PC-based Operations Trainer. In my reading, the book’s first main theme, Integrated Production and Order Management (IPOM), is a different, and perhaps more valid, take on the many issues associated with Supply Chain Management. The authors touch on all facets and issues of Operations and Supply Chain Management and provide a theory-based and sound, practice-proven approach to the problems present in any organization. The second main theme covers the design and improvement of enterprise and business processes, touching on facets and issues relating to process-based enterprise management. I would highly recommend the book and the accompanying software to any instructor teaching Operations/Supply Chain Management, Business Process Management or Industrial Engineering." -- Gyula Vastag (Corvinus University of Budapest, Hungary)
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Enterprise Architecture at Work

Modelling, Communication and Analysis

Author: Marc Lankhorst

Publisher: Springer Science & Business Media

ISBN: 3642296513

Category: Business & Economics

Page: 338

View: 7962

An enterprise architecture tries to describe and control an organisation’s structure, processes, applications, systems and techniques in an integrated way. The unambiguous specification and description of components and their relationships in such an architecture requires a coherent architecture modelling language. Lankhorst and his co‐authors present such an enterprise modelling language that captures the complexity of architectural domains and their relations and allows the construction of integrated enterprise architecture models. They provide architects with concrete instruments that improve their architectural practice. As this is not enough, they additionally present techniques and heuristics for communicating with all relevant stakeholders about these architectures. Since an architecture model is useful not only for providing insight into the current or future situation but can also be used to evaluate the transition from ‘as‐is’ to ‘to‐be’, the authors also describe analysis methods for assessing both the qualitative impact of changes to an architecture and the quantitative aspects of architectures, such as performance and cost issues. The modelling language presented has been proven in practice in many real‐life case studies and has been adopted by The Open Group as an international standard. So this book is an ideal companion for enterprise IT or business architects in industry as well as for computer or management science students studying the field of enterprise architecture.
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Information Governance Principles and Practices for a Big Data Landscape

Author: Chuck Ballard,Cindy Compert,Tom Jesionowski,Ivan Milman,Bill Plants,Barry Rosen,Harald Smith,IBM Redbooks

Publisher: IBM Redbooks

ISBN: 0738439592

Category: Computers

Page: 280

View: 6808

This IBM® Redbooks® publication describes how the IBM Big Data Platform provides the integrated capabilities that are required for the adoption of Information Governance in the big data landscape. As organizations embark on new use cases, such as Big Data Exploration, an enhanced 360 view of customers, or Data Warehouse modernization, and absorb ever growing volumes and variety of data with accelerating velocity, the principles and practices of Information Governance become ever more critical to ensure trust in data and help organizations overcome the inherent risks and achieve the wanted value. The introduction of big data changes the information landscape. Data arrives faster than humans can react to it, and issues can quickly escalate into significant events. The variety of data now poses new privacy and security risks. The high volume of information in all places makes it harder to find where these issues, risks, and even useful information to drive new value and revenue are. Information Governance provides an organization with a framework that can align their wanted outcomes with their strategic management principles, the people who can implement those principles, and the architecture and platform that are needed to support the big data use cases. The IBM Big Data Platform, coupled with a framework for Information Governance, provides an approach to build, manage, and gain significant value from the big data landscape.
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Decision-Making Support Systems: Achievements and Challenges for the New Decade

Achievements and Challenges for the New Decade

Author: Forgionne, Guisseppi A.

Publisher: IGI Global

ISBN: 9781591400806

Category: Computers

Page: 438

View: 2832

Annotation The book presents state-of-the-art knowledge about decision-making support systems (DMSS). Its main goals are to provide a compendium of quality chapters on decision-making support systems that help diffuse scarce knowledge about effective methods and strategies for successfully designing, developing, implementing, and evaluating decision-making support systems, and to create an awareness among readers about the relevance of decision-making support systems in the current complex and dynamic management environment.
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