MASTER DATA MANAGEMENT IN PRACTICE

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Master Data Management In Practice

Author : Dalton Cervo
ISBN : 9781118085684
Genre : Business & Economics
File Size : 34.60 MB
Format : PDF, Kindle
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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.
Category: Business & Economics

Multi Domain Master Data Management

Author : Mark Allen
ISBN : 9780128011478
Genre : Computers
File Size : 73.26 MB
Format : PDF, ePub, Docs
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Multi-Domain Master Data Management delivers practical guidance and specific instruction to help guide planners and practitioners through the challenges of a multi-domain master data management (MDM) implementation. 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.
Category: Computers

Enterprise Information Management In Practice

Author : Saumya Chaki
ISBN : 9781484212189
Genre : Computers
File Size : 56.49 MB
Format : PDF, ePub, Docs
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Learn how to form and execute an enterprise information strategy: topics include data governance strategy, data architecture strategy, information security strategy, big data strategy, and cloud strategy. Manage information like a pro, to achieve much better financial results for the enterprise, more efficient processes, and multiple advantages over competitors. As you’ll discover in Enterprise Information Management in Practice, EIM deals with both structured data (e.g. sales data and customer data) as well as unstructured data (like customer satisfaction forms, emails, documents, social network sentiments, and so forth). With the deluge of information that enterprises face given their global operations and complex business models, as well as the advent of big data technology, it is not surprising that making sense of the large piles of data is of paramount importance. Enterprises must therefore put much greater emphasis on managing and monetizing both structured and unstructured data. As Saumya Chaki—an information management expert and consultant with IBM—explains in Enterprise Information Management in Practice, it is now more important than ever before to have an enterprise information strategy that covers the entire life cycle of information and its consumption while providing security controls. With Fortune 100 consultant Saumya Chaki as your guide, Enterprise Information Management in Practice covers each of these and the other pillars of EIM in depth, which provide readers with a comprehensive view of the building blocks for EIM. Enterprises today deal with complex business environments where information demands take place in real time, are complex, and often serve as the differentiator among competitors. The effective management of information is thus crucial in managing enterprises. EIM has evolved as a specialized discipline in the business intelligence and enterprise data warehousing space to address the complex needs of information processing and delivery—and to ensure the enterprise is making the most of its information assets.
Category: Computers

Master Data Management Mdm

Author : Gerard Blokdyk
ISBN : 1978261608
Genre :
File Size : 61.13 MB
Format : PDF
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What prevents me from making the changes I know will make me a more effective Master Data Management MDM leader? How do we Improve Master Data Management MDM service perception, and satisfaction? How will the Master Data Management MDM team and the organization measure complete success of Master Data Management MDM? How does the organization define, manage, and improve its Master Data Management MDM processes? Has the direction changed at all during the course of Master Data Management MDM? If so, when did it change and why? Defining, designing, creating, and implementing a process to solve a business challenge or meet a business objective is the most valuable role... In EVERY company, organization and department. Unless you are talking a one-time, single-use project within a business, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' For more than twenty years, The Art of Service's Self-Assessments empower people who can do just that - whether their title is marketer, entrepreneur, manager, salesperson, consultant, business process manager, executive assistant, IT Manager, CxO etc... - they are the people who rule the future. They are people who watch the process as it happens, and ask the right questions to make the process work better. This book is for managers, advisors, consultants, specialists, professionals and anyone interested in Master Data Management MDM assessment. All the tools you need to an in-depth Master Data Management MDM Self-Assessment. Featuring new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Master Data Management MDM improvements can be made. In using the questions you will be better able to: - diagnose Master Data Management MDM projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Master Data Management MDM and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Master Data Management MDM Scorecard, you will develop a clear picture of which Master Data Management MDM areas need attention. Included with your purchase of the book is the Master Data Management MDM Self-Assessment downloadable resource, which contains all questions and Self-Assessment areas of this book in a ready to use Excel dashboard, including the self-assessment, graphic insights, and project planning automation - all with examples to get you started with the assessment right away. Access instructions can be found in the book. You are free to use the Self-Assessment contents in your presentations and materials for customers without asking us - we are here to help.
Category:

Handbook Of Data Quality

Author : Shazia Sadiq
ISBN : 9783642362576
Genre : Computers
File Size : 77.64 MB
Format : PDF, ePub, Mobi
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The issue of data quality is as old as data itself. However, the proliferation of diverse, large-scale and often publically available data on the Web has increased the risk of poor data quality and misleading data interpretations. On the other hand, data is now exposed at a much more strategic level e.g. through business intelligence systems, increasing manifold the stakes involved for individuals, corporations as well as government agencies. There, the lack of knowledge about data accuracy, currency or completeness can have erroneous and even catastrophic results. With these changes, traditional approaches to data management in general, and data quality control specifically, are challenged. There is an evident need to incorporate data quality considerations into the whole data cycle, encompassing managerial/governance as well as technical aspects. Data quality experts from research and industry agree that a unified framework for data quality management should bring together organizational, architectural and computational approaches. Accordingly, Sadiq structured this handbook in four parts: Part I is on organizational solutions, i.e. the development of data quality objectives for the organization, and the development of strategies to establish roles, processes, policies, and standards required to manage and ensure data quality. Part II, on architectural solutions, covers the technology landscape required to deploy developed data quality management processes, standards and policies. Part III, on computational solutions, presents effective and efficient tools and techniques related to record linkage, lineage and provenance, data uncertainty, and advanced integrity constraints. Finally, Part IV is devoted to case studies of successful data quality initiatives that highlight the various aspects of data quality in action. The individual chapters present both an overview of the respective topic in terms of historical research and/or practice and state of the art, as well as specific techniques, methodologies and frameworks developed by the individual contributors. Researchers and students of computer science, information systems, or business management as well as data professionals and practitioners will benefit most from this handbook by not only focusing on the various sections relevant to their research area or particular practical work, but by also studying chapters that they may initially consider not to be directly relevant to them, as there they will learn about new perspectives and approaches.
Category: Computers

Microsoft Sql Server 2008 R2 Master Data Services

Author : Tyler Graham
ISBN : 9780071756242
Genre : Computers
File Size : 79.35 MB
Format : PDF, Docs
Download : 460
Read : 334

Best Practices for Deploying and Managing Master Data Services (MDS) Effectively manage master data and drive better decision making across your enterprise with detailed instruction from two MDS experts. Microsoft SQL Server 2008 R2 Master Data Services Implementation & Administration shows you how to use MDS to centralize the management of key data within your organization. Find out how to build an MDS model, establish hierarchies, govern data access, and enforce business rules. Legacy system integration and security are also covered. Real-world programming examples illustrate the material presented in this comprehensive guide. Create a process-agnostic solution for managing your business domains Learn how to take advantage of the data modeling capabilities of MDS Manage hierarchies and consolidations across your organization Import data by using SQL Server Integration Services and T-SQL statements Ensure data accuracy and completeness by using business rules and versioning Employ role-based security at functional, object, and attribute levels Design export views and publish data to subscribing systems Use Web services to progrmmatically interact with your implementation
Category: Computers

Master Data Management For Customer Data Second Edition

Author : Gerardus Blokdyk
ISBN : 0655504389
Genre :
File Size : 70.46 MB
Format : PDF, ePub, Mobi
Download : 727
Read : 1173

How do you identify specific Master Data Management for Customer Data investment opportunities and emerging trends? For your Master Data Management for Customer Data project, identify and describe the business environment, is there more than one layer to the business environment? What are the key elements of your Master Data Management for Customer Data performance improvement system, including your evaluation, organizational learning, and innovation processes? How can you negotiate Master Data Management for Customer Data successfully with a stubborn boss, an irate client, or a deceitful coworker? Do you combine technical expertise with business knowledge and Master Data Management for Customer Data Key topics include lifecycles, development approaches, requirements and how to make a business case? Defining, designing, creating, and implementing a process to solve a challenge or meet an objective is the most valuable role... In EVERY group, company, organization and department. Unless you are talking a one-time, single-use project, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Master Data Management for Customer Data investments work better. This Master Data Management for Customer Data All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Master Data Management for Customer Data Self-Assessment. Featuring 668 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Master Data Management for Customer Data improvements can be made. In using the questions you will be better able to: - diagnose Master Data Management for Customer Data projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Master Data Management for Customer Data and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Master Data Management for Customer Data Scorecard, you will develop a clear picture of which Master Data Management for Customer Data areas need attention. Your purchase includes access details to the Master Data Management for Customer Data self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. 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, and... - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation ...plus an extra, special, resource that helps you with project managing. 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.
Category:

Microsoft Sql Server 2012 Master Data Services 2 E

Author : Tyler Graham
ISBN : 9780071797863
Genre : Computers
File Size : 54.40 MB
Format : PDF, Mobi
Download : 338
Read : 853

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
Category: Computers

Handbook Of Research On Green Ict Technology Business And Social Perspectives

Author : Unhelkar, B.
ISBN : 9781616928353
Genre : Business & Economics
File Size : 49.39 MB
Format : PDF, ePub
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"This handbook coalesces worldwide investigations, thoughts, and practices in the area of Green ICT, covering the technical advances, methodological innovations, and social changes that result in enhancements and improvements in business strategies, social policies, and technical implementations"--Provided by publisher.
Category: Business & Economics