Master Data Management In Practice

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Master Data Management in Practice

Author : Dalton Cervo
Publisher : John Wiley & Sons
ISBN 13 : 0470910550
Total Pages : 278 pages
Book Rating : 4.4/5 (79 download)

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Book Synopsis Master Data Management in Practice by : Dalton Cervo

Download or read book Master Data Management in Practice written by Dalton Cervo and published by John Wiley & Sons. This book was released on 2011-07-05 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Multi-Domain Master Data Management

Author : Mark Allen
Publisher : Morgan Kaufmann
ISBN 13 : 0128011475
Total Pages : 244 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Multi-Domain Master Data Management by : Mark Allen

Download or read book Multi-Domain Master Data Management written by Mark Allen and published by Morgan Kaufmann. This book was released on 2015-03-21 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Dalton Cervo
Publisher : John Wiley & Sons
ISBN 13 : 111808568X
Total Pages : 272 pages
Book Rating : 4.1/5 (18 download)

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Book Synopsis Master Data Management in Practice by : Dalton Cervo

Download or read book Master Data Management in Practice written by Dalton Cervo and published by John Wiley & Sons. This book was released on 2011-05-25 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : David Loshin
Publisher : Morgan Kaufmann
ISBN 13 : 0080921213
Total Pages : 301 pages
Book Rating : 4.0/5 (89 download)

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Book Synopsis Master Data Management by : David Loshin

Download or read book Master Data Management written by David Loshin and published by Morgan Kaufmann. This book was released on 2010-07-28 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 and executing an MDM project that leads to measurable improvements in business productivity and effectiveness. Presents a comprehensive roadmap that you can adapt to any MDM project Emphasizes the critical goal of maintaining and improving data quality Provides guidelines for determining which data to “master. Examines special issues relating to master data metadata Considers a range of MDM architectural styles Covers the synchronization of master data across the application infrastructure

MASTER DATA MANAGEMENT AND DATA GOVERNANCE, 2/E

Author : Alex Berson
Publisher : McGraw Hill Professional
ISBN 13 : 0071744592
Total Pages : 537 pages
Book Rating : 4.0/5 (717 download)

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Book Synopsis MASTER DATA MANAGEMENT AND DATA GOVERNANCE, 2/E by : Alex Berson

Download or read book MASTER DATA MANAGEMENT AND DATA GOVERNANCE, 2/E written by Alex Berson and published by McGraw Hill Professional. This book was released on 2010-12-06 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Managing Data in Motion

Author : April Reeve
Publisher : Newnes
ISBN 13 : 0123977916
Total Pages : 203 pages
Book Rating : 4.1/5 (239 download)

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Book Synopsis Managing Data in Motion by : April Reeve

Download or read book Managing Data in Motion written by April Reeve and published by Newnes. This book was released on 2013-02-26 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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"

DAMA-DMBOK

Author : Dama International
Publisher :
ISBN 13 : 9781634622349
Total Pages : 628 pages
Book Rating : 4.6/5 (223 download)

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Book Synopsis DAMA-DMBOK by : Dama International

Download or read book DAMA-DMBOK written by Dama International and published by . This book was released on 2017 with total page 628 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 a framework to manage their data and mature their information infrastructure, based on these principles: Data is an asset with unique properties; The value of data can be and should be expressed in economic terms; Managing data means managing the quality of data; It takes metadata to manage data; It takes planning to manage data; Data management is cross-functional and requires a range of skills and expertise; Data management requires an enterprise perspective; Data management must account for a range of perspectives; Data management is data lifecycle management; Different types of data have different lifecycle requirements; Managing data includes managing risks associated with data; Data management requirements must drive information technology decisions; Effective data management requires leadership commitment.

Smarter Modeling of IBM InfoSphere Master Data Management Solutions

Author : Jan-Bernd Bracht
Publisher : IBM Redbooks
ISBN 13 : 0738436801
Total Pages : 596 pages
Book Rating : 4.7/5 (384 download)

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Book Synopsis Smarter Modeling of IBM InfoSphere Master Data Management Solutions by : Jan-Bernd Bracht

Download or read book Smarter Modeling of IBM InfoSphere Master Data Management Solutions written by Jan-Bernd Bracht and published by IBM Redbooks. This book was released on 2012-08-09 with total page 596 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Enterprise Master Data Management

Author : Allen Dreibelbis
Publisher : Pearson Education
ISBN 13 : 0132704277
Total Pages : 833 pages
Book Rating : 4.1/5 (327 download)

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Book Synopsis Enterprise Master Data Management by : Allen Dreibelbis

Download or read book Enterprise Master Data Management written by Allen Dreibelbis and published by Pearson Education. This book was released on 2008-06-05 with total page 833 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Data Management at Scale

Author : Piethein Strengholt
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492054739
Total Pages : 404 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Data Management at Scale by : Piethein Strengholt

Download or read book Data Management at Scale written by Piethein Strengholt and published by "O'Reilly Media, Inc.". This book was released on 2020-07-29 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Data Management for Researchers

Author : Kristin Briney
Publisher : Pelagic Publishing Ltd
ISBN 13 : 178427013X
Total Pages : 312 pages
Book Rating : 4.7/5 (842 download)

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Book Synopsis Data Management for Researchers by : Kristin Briney

Download or read book Data Management for Researchers written by Kristin Briney and published by Pelagic Publishing Ltd. This book was released on 2015-09-01 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive guide to everything scientists need to know about data management, this book is essential for researchers who need to learn how to organize, document and take care of their own data. Researchers in all disciplines are faced with the challenge of managing the growing amounts of digital data that are the foundation of their research. Kristin Briney offers practical advice and clearly explains policies and principles, in an accessible and in-depth text that will allow researchers to understand and achieve the goal of better research data management. Data Management for Researchers includes sections on: * The data problem – an introduction to the growing importance and challenges of using digital data in research. Covers both the inherent problems with managing digital information, as well as how the research landscape is changing to give more value to research datasets and code. * The data lifecycle – a framework for data’s place within the research process and how data’s role is changing. Greater emphasis on data sharing and data reuse will not only change the way we conduct research but also how we manage research data. * Planning for data management – covers the many aspects of data management and how to put them together in a data management plan. This section also includes sample data management plans. * Documenting your data – an often overlooked part of the data management process, but one that is critical to good management; data without documentation are frequently unusable. * Organizing your data – explains how to keep your data in order using organizational systems and file naming conventions. This section also covers using a database to organize and analyze content. * Improving data analysis – covers managing information through the analysis process. This section starts by comparing the management of raw and analyzed data and then describes ways to make analysis easier, such as spreadsheet best practices. It also examines practices for research code, including version control systems. * Managing secure and private data – many researchers are dealing with data that require extra security. This section outlines what data falls into this category and some of the policies that apply, before addressing the best practices for keeping data secure. * Short-term storage – deals with the practical matters of storage and backup and covers the many options available. This section also goes through the best practices to insure that data are not lost. * Preserving and archiving your data – digital data can have a long life if properly cared for. This section covers managing data in the long term including choosing good file formats and media, as well as determining who will manage the data after the end of the project. * Sharing/publishing your data – addresses how to make data sharing across research groups easier, as well as how and why to publicly share data. This section covers intellectual property and licenses for datasets, before ending with the altmetrics that measure the impact of publicly shared data. * Reusing data – as more data are shared, it becomes possible to use outside data in your research. This chapter discusses strategies for finding datasets and lays out how to cite data once you have found it. This book is designed for active scientific researchers but it is useful for anyone who wants to get more from their data: academics, educators, professionals or anyone who teaches data management, sharing and preservation. "An excellent practical treatise on the art and practice of data management, this book is essential to any researcher, regardless of subject or discipline." —Robert Buntrock, Chemical Information Bulletin

Master Data Management and Customer Data Integration for a Global Enterprise

Author : Alex Berson
Publisher : McGraw Hill Professional
ISBN 13 : 0071510893
Total Pages : 434 pages
Book Rating : 4.0/5 (715 download)

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Book Synopsis Master Data Management and Customer Data Integration for a Global Enterprise by : Alex Berson

Download or read book Master Data Management and Customer Data Integration for a Global Enterprise written by Alex Berson and published by McGraw Hill Professional. This book was released on 2007-05-22 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 an effective data governance team. You'll also get full details on regulatory compliance and the latest pre-packaged MDM-CDI software solutions. Design and implement a dynamic MDM-CDI architecture that fits the needs of your business Implement MDM-CDI holistically as an integrated multi-disciplinary set of technologies, services, and processes Improve solution agility and flexibility using SOA and Web services Recognize customers and their relationships with the enterprise across channels and lines of business Ensure compliance with local, state, federal, and international regulations Deploy network, perimeter, platform, application, data, and user-level security Protect against identity and data theft, worm infection, and phishing and pharming scams Create an Enterprise Information Governance Group Perform development, QA, and business acceptance testing and data verification

Master Data Management for SaaS Applications

Author : Whei-Jen Chen
Publisher : IBM Redbooks
ISBN 13 : 0738440043
Total Pages : 148 pages
Book Rating : 4.7/5 (384 download)

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Book Synopsis Master Data Management for SaaS Applications by : Whei-Jen Chen

Download or read book Master Data Management for SaaS Applications written by Whei-Jen Chen and published by IBM Redbooks. This book was released on 2014-10-19 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 cloud. Many enterprises are now adopting turnkey business applications offered as software as a service (SaaS) solutions, such as customer relationship management (CRM), payroll processing, human resource management, and many more. However, in the context of MDM solutions, many organizations perceive risks in having these solutions deployed on the cloud. In some cases, organization are concerned with the legal restrictions of deploying solutions on the cloud, whereas in other cases organizations have policies and strategies in force that limit solution deployment on the cloud. Immaterial of what all the cases might be, industry trends point to a prediction that many "extended enterprises" will keep MDM solutions on premises and will want its integrations with SaaS applications, specifically customer and asset domains. This trend puts a key focus on an important component in the solution construct, that is, the cloud integration middleware and how it fits with hybrid cloud architectures that span on premises and cloud services. As this trend pans out, the on-premises MDM solution integration with SaaS applications will be the key pain point for the "extended enterprise." This IBM Redbooks® publication provides guidance to chief data officers, chief information officers, MDM practitioners, integration architects, and others who are interested in the integration of IBM InfoSphere Master Data Management with SaaS applications. This book lays the background on how mastering and governance needs for SaaS applications is quite similar to what on-premises business applications would need. It draws the perspective for serving the on-premises application and the SaaS application with the same MDM hub. This book describes how IBM WebSphere® Cast Iron® Cloud Integration can serve as the "de-facto" cloud integration middleware to integrate the on-premises InfoSphere Master Data Management systems with any SaaS application by using Saleforce.com integration as an example. This book also covers aspects of handling bulk operations with IBM InfoSphere Information Server. After reading this book, you will have a good understanding about the considerations for on-premises InfoSphere Master Data Management integration with SaaS applications in general and Salesforce.com in particular. The MDM practitioners and integration architects will understand the deployable integrations patterns and, in general, will be able to effectively contribute to delivering strategies that involve building solutions in this area. Additionally, SaaS vendors and customers looking to build or implement SaaS solutions that might require trusted master information will be able to use this compilation to ensure that the right architecture is put together and adhered to as a set of standard integrations patterns with all the core building blocks is essential for the longevity of a solution in this space.

Aligning MDM and BPM for Master Data Governance, Stewardship, and Enterprise Processes

Author : Chuck Ballard
Publisher : IBM Redbooks
ISBN 13 : 0738437743
Total Pages : 212 pages
Book Rating : 4.7/5 (384 download)

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Book Synopsis Aligning MDM and BPM for Master Data Governance, Stewardship, and Enterprise Processes by : Chuck Ballard

Download or read book Aligning MDM and BPM for Master Data Governance, Stewardship, and Enterprise Processes written by Chuck Ballard and published by IBM Redbooks. This book was released on 2013-03-08 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: An enterprise can gain differentiating value by aligning its master data management (MDM) and business process management (BPM) projects. This way, organizations can optimize their business performance through agile processes that empower decision makers with the trusted, single version of information. Many companies deploy MDM strategies as assurances that enterprise master data can be trusted and used in the business processes. IBM® InfoSphere® Master Data Management creates trusted views of data assets and elevates the effectiveness of an organization's most important business processes and applications. This IBM Redbooks® publication provides an overview of MDM and BPM. It examines how you can align them to enable trusted and accurate information to be used by business processes to optimize business performance and bring more agility to data stewardship. It also provides beginning guidance on these patterns and where cross-training efforts might focus. This book is written for MDM or BPM architects and MDM and BPM architects. By reading this book, MDM or BPM architects can understand how to scope joint projects or to provide reasonable estimates of the effort. BPM developers (or MDM developers with BPM training) can learn how to design and build MDM creation and consumption use cases by using the MDM Toolkit for BPM. They can also learn how to import data governance samples and extend them to enable collaborative stewardship of master data.

The Practitioner's Guide to Data Quality Improvement

Author : David Loshin
Publisher : Elsevier
ISBN 13 : 0080920349
Total Pages : 423 pages
Book Rating : 4.0/5 (89 download)

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Book Synopsis The Practitioner's Guide to Data Quality Improvement by : David Loshin

Download or read book The Practitioner's Guide to Data Quality Improvement written by David Loshin and published by Elsevier. This book was released on 2010-11-22 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 the use of data quality tools, including business case templates, and tools for analysis, reporting, and strategic planning. This book is recommended for data management practitioners, including database analysts, information analysts, data administrators, data architects, enterprise architects, data warehouse engineers, and systems analysts, and their managers. Offers a comprehensive look at data quality for business and IT, encompassing people, process, and technology. Shows how to institute and run a data quality program, from first thoughts and justifications to maintenance and ongoing metrics. Includes an in-depth look at the use of data quality tools, including business case templates, and tools for analysis, reporting, and strategic planning.

SAP Master Data Governance

Author : Homiar Kalwachwala
Publisher : SAP PRESS
ISBN 13 : 9781493218356
Total Pages : 772 pages
Book Rating : 4.2/5 (183 download)

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Book Synopsis SAP Master Data Governance by : Homiar Kalwachwala

Download or read book SAP Master Data Governance written by Homiar Kalwachwala and published by SAP PRESS. This book was released on 2019 with total page 772 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ready to improve the handling of your master data? Walk through implementing, configuring, and using SAP Master Data Governance (SAP MDG)! Whether your organization requires custom applications or works with out-of-the-box central governance, consolidation, and mass processing, you'll find detailed instructions for every step. From data, process, and UI modeling to data replication, master your data! Highlights include: 1) Deployment 2) Data modeling 3) Process modeling 4) Data quality 5) Data replication 6) Data migration 7) Consolidation 8) Operations 9) Mass processing 10) Integrations 11) Extensions 12) Analytics

Non-Invasive Data Governance

Author : Robert S. Seiner
Publisher : Technics Publications
ISBN 13 : 1634620453
Total Pages : 147 pages
Book Rating : 4.6/5 (346 download)

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Book Synopsis Non-Invasive Data Governance by : Robert S. Seiner

Download or read book Non-Invasive Data Governance written by Robert S. Seiner and published by Technics Publications. This book was released on 2014-09-01 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data-governance programs focus on authority and accountability for the management of data as a valued organizational asset. Data Governance should not be about command-and-control, yet at times could become invasive or threatening to the work, people and culture of an organization. Non-Invasive Data Governance™ focuses on formalizing existing accountability for the management of data and improving formal communications, protection, and quality efforts through effective stewarding of data resources. Non-Invasive Data Governance will provide you with a complete set of tools to help you deliver a successful data governance program. Learn how: • Steward responsibilities can be identified and recognized, formalized, and engaged according to their existing responsibility rather than being assigned or handed to people as more work. • Governance of information can be applied to existing policies, standard operating procedures, practices, and methodologies, rather than being introduced or emphasized as new processes or methods. • Governance of information can support all data integration, risk management, business intelligence and master data management activities rather than imposing inconsistent rigor to these initiatives. • A practical and non-threatening approach can be applied to governing information and promoting stewardship of data as a cross-organization asset. • Best practices and key concepts of this non-threatening approach can be communicated effectively to leverage strengths and address opportunities to improve.