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| forrester master data management: Master Data Management David Loshin, 2010-07-28 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 |
| forrester master data management: Data Governance Dimitrios Sargiotis, |
| forrester master data management: Enterprise Master Data Management Allen Dreibelbis, Eberhard Hechler, Ivan Milman, Martin Oberhofer, Paul van Run, Dan Wolfson, 2008-06-05 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 |
| forrester master data management: SAP Master Data Governance Homiar Kalwachwala, Sandeep Chahal, Santhosh Cheekoti, Antony Isacc, Rajani Khambhampati, Vikas Lodha, Syama Srinivasan, David Quirk, 2019 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 |
| forrester master data management: Business Process Management Richard Hull, Jan Mendling, Stefan Tai, 2010-08-25 The BPM Conference series has established itself as the premier forum for - searchersintheareaofbusinessprocessmanagementandprocess-awareinfor- tion systems. It has a record of attracting contributions of innovative research of the highest quality related to all aspects of business process management, including theory, frameworks, methods, techniques, architectures, systems, and empirical ?ndings. BPM 2010 was the 8th conference of the series. It took place September 14- 16, 2010 on the campus of Stevens Institute of Technology in Hoboken, New Jersey, USA—with a great view of Manhattan, New York. This volume c- tains 21 contributed research papers that were selected from 151 submissions. The thorough reviewing process (each paper was reviewed by three to ?ve P- gram Committee members followed in most cases by in-depth discussions) was extremely competitive with an acceptance rate of 14%. In addition to the c- tributed papers, these proceedings contain three short papers about the invited keynote talks. In conjunction with the main conference, nine international workshops took place the day before the conference. These workshops fostered the exchange of fresh ideas and experiences between active BPM researchers, and stimulated discussions on new and emerging issues in line with the conference topics. The proceedings with the papers of all workshops will be published in a separate volume of Springer’s Lecture Notes in Business Information Processing series. Beyond that, the conference also included a doctoral consortium, an industry program, ?reside chats, tutorials, panels, and demonstrations. |
| forrester master data management: Data Governance and Data Management Rupa Mahanti, 2021-09-08 This book delves into the concept of data as a critical enterprise asset needed for informed decision making, compliance, regulatory reporting and insights into trends, behaviors, performance and patterns. With good data being key to staying ahead in a competitive market, enterprises capture and store exponential volumes of data. Considering the business impact of data, there needs to be adequate management around it to derive the best value. Data governance is one of the core data management related functions. However, it is often overlooked, misunderstood or confused with other terminologies and data management functions. Given the pervasiveness of data and the importance of data, this book provides comprehensive understanding of the business drivers for data governance and benefits of data governance, the interactions of data governance function with other data management functions and various components and aspects of data governance that can be facilitated by technology and tools, the distinction between data management tools and data governance tools, the readiness checks to perform before exploring the market to purchase a data governance tool, the different aspects that must be considered when comparing and selecting the appropriate data governance technologies and tools from large number of options available in the marketplace and the different market players that provide tools for supporting data governance. This book combines the data and data governance knowledge that the author has gained over years of working in different industrial and research programs and projects associated with data, processes and technologies with unique perspectives gained through interviews with thought leaders and data experts. This book is highly beneficial for IT students, academicians, information management and business professionals and researchers to enhance their knowledge and get guidance on implementing data governance in their own data initiatives. |
| forrester master data management: Modern Data Strategy Mike Fleckenstein, Lorraine Fellows, 2018-02-12 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. |
| forrester master data management: Health Informatics Meets EHealth D. Hayn, G. Schreier, 2017-05-12 Ineffective discharge management can jeopardize the successful completion of hospital treatment; but a well managed transition from hospital care to care at home depends on the efficient exchange of information with out-patient healthcare providers and professionals. This is just one way in which ICT can support healthcare and provide tools which help health professions to identify and communicate relevant data. Such tools will be increasingly important in future healthcare systems, and indeed a Europe-wide ICT infrastructure for information and data exchange may do much to revolutionize the quality of healthcare. It is therefore essential that infrastructures build on well-established standards such as Integrating the Healthcare Enterprise (IHE), even if this initially takes longer to implement. This book presents the proceedings of the annual Health Informatics meets eHealth conference, held in Vienna, Austria, in May 2017. The special topic chosen for eHealth2017 is Digital Insight – Information-Driven Health & Care, and the conference addressed the increasingly international focus of eHealth and the importance of cross-border health ICT. The papers presented here cover many eHealth topics, from maternity records to rehabilitation and from staff training to information exchange. Future ICT systems will inevitably involve machine learning and predictive analytics in order to provide actionable information to health professionals and support preventive healthcare concepts, and this book provides an insight into current research in health informatics and eHealth, addressing many issues central to the future of health and care. The book will be of interest to all healthcare researchers and practitioners. |
| forrester master data management: Data Governance and Compliance Rupa Mahanti, 2021-04-27 This book sets the stage of the evolution of corporate governance, laws and regulations, other forms of governance, and the interaction between data governance and other corporate governance sub-disciplines. Given the continuously evolving and complex regulatory landscape and the growing number of laws and regulations, compliance is a widely discussed issue in the field of data. This book considers the cost of non-compliance bringing in examples from different industries of instances in which companies failed to comply with rules, regulations, and other legal obligations, and goes on to explain how data governance helps in avoiding such pitfalls. The first in a three-volume series on data governance, this book does not assume any prior or specialist knowledge in data governance and will be highly beneficial for IT, management and law students, academics, information management and business professionals, and researchers to enhance their knowledge and get guidance in managing their own data governance projects from a governance and compliance perspective. |
| forrester master data management: CIO , 2008-01-15 |
| forrester master data management: Knowledge is Power in Four Dimensions: Models to Forecast Future Paradigm Bahman Zohuri, Farhang Mossavar Rahmani, Farahnaz Behgounia, 2022-07-14 Knowledge is Power in Four Dimensions: Models to Forecast Future Paradigms, Forecasting Energy for Tomorrow's World with Mathematical Modeling and Python Programming Driven Artificial Intelligence delivers knowledge on key infrastructure topics in both AI technology and energy. Sections lay the groundwork for tomorrow's computing functionality, starting with how to build a Business Resilience System (BRS), data warehousing, data management, and fuzzy logic. Subsequent chapters dive into the impact of energy on economic development and the environment and mathematical modeling, including energy forecasting and engineering statistics. Energy examples are included for application and learning opportunities. A final section deliver the most advanced content on artificial intelligence with the integration of machine learning and deep learning as a tool to forecast and make energy predictions. The reference covers many introductory programming tools, such as Python, Scikit, TensorFlow and Kera. - Helps users gain fundamental knowledge in technology infrastructure, including AI, machine learning and fuzzy logic - Compartmentalizes data knowledge into near-term and long-term forecasting models, with examples involving both renewable and non-renewable energy outcomes - Advances climate resiliency and helps readers build a business resiliency system for assets |
| forrester master data management: The Adapters Sean Worker, 2021-03-24 The Adapters is a multi-book and audiograph series written around podcast-style interviews with an impressive collection of GGTs – Gutsy Genius Thinkers. These are the men and women vibrantly engaged in one of the hottest business sectors in the world: Travel, Tourism, and Hospitality and the ecosystem that supports them. While sharing their stories and insights on entrepreneurship and the management skills they are continuously developing to inspire success in themselves, their organizations and their teams, The Adapters adds interpretations, identifies trends and patterns, brings historical context and provides Tips and Takeaways for the progression of the reader. There are even Scribble Zones to capture responses, reactions and that next brilliant idea as you read. Travel, Tourism and Hospitality are fundamental to how the 4th Age of Change will shape our future. With The Adapters, spend some time with the Gutsy Genius Thinkers in the space as they speak to the real issues trending right now. Cultivate your curiosity and unleash the Gutsy Genius Thinker in you. |
| forrester master data management: Market Intelligence Fouad Sabry, 2024-01-24 What is Market Intelligence Market intelligence (MI) refers to the process of collecting and analyzing information that is pertinent to a company's market, including trends, monitoring of competitors, and monitoring of customers. It is a subtype of competitive intelligence (CI), which refers to the data and information that is gathered by businesses in order to provide continual insight into market trends such as the values and preferences of customers and competitors. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Market intelligence Chapter 2: Customer relationship management Chapter 3: Supply chain management Chapter 4: Business intelligence Chapter 5: Strategic management Chapter 6: Marketing management Chapter 7: Competitive advantage Chapter 8: SWOT analysis Chapter 9: Marketing strategy Chapter 10: Business performance management Chapter 11: Marketing communications Chapter 12: Customer service Chapter 13: Business analyst Chapter 14: Competitive intelligence Chapter 15: Segmenting-targeting-positioning Chapter 16: Strategic communication Chapter 17: Market research Chapter 18: Market environment Chapter 19: Customer experience Chapter 20: Social media measurement Chapter 21: Market orientation (II) Answering the public top questions about market intelligence. (III) Real world examples for the usage of market intelligence in many fields. Who this book is for Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Market Intelligence. |
| forrester master data management: Evaluation of Novel Approaches to Software Engineering Leszek A. Maciaszek, Pericles Loucopoulos, 2011-11-29 This book contains a collection of thoroughly refereed papers presented at the 5th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2010, held in Athens, Greece, in July 2010. The 19 revised and extended full papers were carefully selected from 70 submissions. They cover a wide range of topics, such as quality and metrics; service and Web engineering; process engineering; patterns, reuse and open source; process improvement; aspect-oriented engineering; and requirements engineering. |
| forrester master data management: AI and the Future of Banking Tony Boobier, 2020-04-09 An industry-specific guide to the applications of Advanced Analytics and AI to the banking industry Artificial Intelligence (AI) technologies help organisations to get smarter and more effective over time – ultimately responding to, learning from and interacting with human voices. It is predicted that by 2025, half of all businesses will be using these intelligent, self-learning systems. Across its entire breadth and depth, the banking industry is at the forefront of investigating Advanced Analytics and AI technology for use in a broad range of applications, such as customer analytics and providing wealth advice for clients. AI and the Future of Banking provides new and established banking industry professionals with the essential information on the implications of data and analytics on their roles, responsibilities and personal career development. Unlike existing books on the subject which tend to be overly technical and complex, this accessible, reader-friendly guide is designed to be easily understood by any banking professional with limited or no IT background. Chapters focus on practical guidance on the use of analytics to improve operational effectiveness, customer retention and finance and risk management. Theory and published case studies are clearly explained, whilst considerations such as operating costs, regulation and market saturation are discussed in real-world context. Written by a recognised expert in AI and Advanced Analytics, this book: Explores the numerous applications for Advanced Analytics and AI in various areas of banking and finance Offers advice on the most effective ways to integrate AI into existing bank ecosystems Suggests alternative and complementary visions for the future of banking, addressing issues like branch transformation, new models of universal banking and ‘debranding’ Explains the concept of ‘Open Banking,’ which securely shares information without needing to reveal passwords Addresses the development of leadership relative to AI adoption in the banking industry AI and the Future of Banking is an informative and up-to-date resource for bank executives and managers, new entrants to the banking industry, financial technology and financial services practitioners and students in postgraduate finance and banking courses. |
| forrester master data management: The Change Champion's Field Guide Louis Carter, Roland L. Sullivan, Marshall Goldsmith, Dave Ulrich, Norm Smallwood, 2013-07-22 Nearly a decade later, leading change pioneers in the field have realigned to bring you the second edition of the Change Champion's Fieldguide. This thoroughly revised and updated edition of the Change Champion's Field Guide is filled with the information, tools, and strategies needed to implement a best practice change or leadership development initiative where everyone wins. In forty-five chapters, the guide's contributors, widely acknowledged as the change champions and leaders in the fields of organizational change and leadership development, explore the competencies and practices that define an effective change leader. Change Champions such as Harrison Owen, Edgar Schein, Marv Weisbord, Sandra Janoff, Mary Eggers, William Rothwell, Dave Ulrich, Marshall Goldsmith, Judith Katz, Peter Koestenbaum, Dick Axelrod, David Cooperrider, and scores of others provide their sage advice, practical applications, and examples of change methods that work. Change Champion's Field Guide examines the topic of leadership and change within four main topics including: Key elements of leading successful and results-driven change Tools, models, instruments, and strategies for leading change Critical success and failure factors Trends and research on innovation, change, and leadership Guidelines on how to design, implement, and evaluate change and leadership initiatives Fresh case studies that highlight leading companies who are implementing successful change in innovative and inspired ways. |
| forrester master data management: Process Automation Strategy in Services, Manufacturing and Construction Bharati Mohapatra, Sanjana Mohapatra, Sanjay Mohapatra, 2023-02-20 Appealing to business researchers, academics and practitioners, Process Automation Strategy in Services, Manufacturing and Construction brings to life the current trends in process automation and considers what the future holds. |
| forrester master data management: Business Intelligence & Data Warehousing Simplified Arshad Khan, 2011-10-15 This book targets business and IT professionals who need an introduction to business intelligence and data warehousing through a simple question/answer format. Organized into 30 odd chapters, each on a different topic, the book contains approximately 500 questions with answers and tips. Topics include evolution and fundamentals, characteristics and process, architecture and objects, metadata, data conversion, ETL, data storage, infrastructure, data access, data marts, implementation approaches, planning, design, Inmon vs. Kimball, multi-dimensionality, OLAP, facts and dimensions, common mistakes and tips, etc. The book can also be used as a supplemental textbook, for various data warehousing/business intelligence courses. |
| forrester master data management: Unstructured Data Analytics Jean Paul Isson, 2018-03-02 Turn unstructured data into valuable business insight Unstructured Data Analytics provides an accessible, non-technical introduction to the analysis of unstructured data. Written by global experts in the analytics space, this book presents unstructured data analysis (UDA) concepts in a practical way, highlighting the broad scope of applications across industries, companies, and business functions. The discussion covers key aspects of UDA implementation, beginning with an explanation of the data and the information it provides, then moving into a holistic framework for implementation. Case studies show how real-world companies are leveraging UDA in security and customer management, and provide clear examples of both traditional business applications and newer, more innovative practices. Roughly 80 percent of today's data is unstructured in the form of emails, chats, social media, audio, and video. These data assets contain a wealth of valuable information that can be used to great advantage, but accessing that data in a meaningful way remains a challenge for many companies. This book provides the baseline knowledge and the practical understanding companies need to put this data to work. Supported by research with several industry leaders and packed with frontline stories from leading organizations such as Google, Amazon, Spotify, LinkedIn, Pfizer Manulife, AXA, Monster Worldwide, Under Armour, the Houston Rockets, DELL, IBM, and SAS Institute, this book provide a framework for building and implementing a successful UDA center of excellence. You will learn: How to increase Customer Acquisition and Customer Retention with UDA The Power of UDA for Fraud Detection and Prevention The Power of UDA in Human Capital Management & Human Resource The Power of UDA in Health Care and Medical Research The Power of UDA in National Security The Power of UDA in Legal Services The Power of UDA for product development The Power of UDA in Sports The future of UDA From small businesses to large multinational organizations, unstructured data provides the opportunity to gain consumer information straight from the source. Data is only as valuable as it is useful, and a robust, effective UDA strategy is the first step toward gaining the full advantage. Unstructured Data Analytics lays this space open for examination, and provides a solid framework for beginning meaningful analysis. |
| forrester master data management: The Universal Mind Xiphias Press, 2016-09-01 “The Universal Mind: The Evolution of Machine Intelligence and Human Psychology” There is the perception of being totally omniscient where one has access to all knowledge having a complete understanding of everything. There is also the perception of being totally “One with the Universe”, One with Nature or the Universal Mind. During this time one is also experiencing the feeling of total love, acceptance and peace. This book examines the relationship of mind as intelligence and consciousness to matter-energy and space-time. The concepts of Universal Mind or Collective Unconsciousness are discussed and related to physical phenomena such as the holographic distribution of information throughout all of space and the universe. From the paintings of Salvador Dalí to Carl Jung’s Archetypes and his Red Book, and how they describe our collective subconscious, to Machine Learning and Whole Genome Sequencing. The Universal Mind explores the collective world consciousness, super-intelligence, machine intelligence and the practical applications in engineering, medicine, law, and politics. 537 Pages. Tags: Philosophy, Computer Science, Collective Consciousness, Artificial Intelligence, Technological Singularity, Analytical Psychology. |
| forrester master data management: Enterprise Cloud Strategy Barry Briggs, Eduardo Kassner, 2016-01-07 How do you start? How should you build a plan for cloud migration for your entire portfolio? How will your organization be affected by these changes? This book, based on real-world cloud experiences by enterprise IT teams, seeks to provide the answers to these questions. Here, you’ll see what makes the cloud so compelling to enterprises; with which applications you should start your cloud journey; how your organization will change, and how skill sets will evolve; how to measure progress; how to think about security, compliance, and business buy-in; and how to exploit the ever-growing feature set that the cloud offers to gain strategic and competitive advantage. |
| forrester master data management: Quality Experience Telemetry Alka Jarvis, Luis Morales, Johnson Jose, 2018-04-03 Telemetry is an automated way of collecting data at remote sites or locations, and transmitting it to collectors at receiving site for monitoring, analyzing, and driving improvement actions. This book provides the necessary knowledge and information to understand the telemetry infrastructure and associated details. It will enable readers to implement a telemetry program to address customer experience pain and improve customer experience. The authors of this book have all served in different roles and capacities in one of Silicon Valleys premier technology companies. These roles include software engineering, customer assurance, quality management, technology development, and implementation. Their paths intersected in the area of quality management, and they have witnessed first-hand how the latest technology/market transitions around Internet of Things (IoT), digitization, and telemetry are impacting the company they work, as well as the high-tech industry and global economy as a whole. The real-time nature of data and the advent of machine-learning algorithms have set the stage for a new era that the authors call adaptive customer experience. The premise of this concept is that real-time availability of customer experience data opens the door for real-time responses based on machine-learning algorithms. This creates an unprecedented opportunity to change the relationship between customers and the systems they depend on in their digital world. The proliferation of sensors and improvements in data science capabilities are creating an environment where the possibilities for telemetry are limitless. The book provides several examples of use cases and applications that help bring telemetry to life. |
| forrester master data management: Building Effective Value Chains Tom McGuffog, 2016-08-03 The value chain describes the full range of activities that firms and workers do to bring a product from its conception to its end use and beyond. This includes activities such as design, production, marketing, distribution and support to the final consumer. Value chain activities can occur within or between firms, within a single geographical location or spread across wider areas, and can produce goods or services. The overall goal of the value chain is to create value that exceeds the cost of providing a product or service, thus generating a profit margin. The concept of the value chain is at the early stages of a journey and many people still think conventionally. Building Effective Value Chains challenges this notion, helping people to think differently and to pursue the right goal in business. Building Effective Value Chains gives practical, easily understood advice on enhancing the value chain, supported by case studies from the public and private sector that illustrate how the methodology can be applied to different value chains. The book also considers the commercial value of the value chain as well as the academic origins of the value chain. Author Tom McGuffog shares his knowledge and experience from working in Rowntree and Nestle, the UK Procurement Agency, the Defence Logistics Organisation, and NHS Purchasing and Supply. Taking a global perspective, the issues discussed in this book are applicable internationally. Building Effective Value Chains includes executive summaries at the end of each chapter, useful online materials, and a comprehensive list of references. |
| forrester master data management: Information Governance Robert F. Smallwood, 2014-03-28 Proven and emerging strategies for addressing document and records management risk within the framework of information governance principles and best practices Information Governance (IG) is a rapidly emerging super discipline and is now being applied to electronic document and records management, email, social media, cloud computing, mobile computing, and, in fact, the management and output of information organization-wide. IG leverages information technologies to enforce policies, procedures and controls to manage information risk in compliance with legal and litigation demands, external regulatory requirements, and internal governance objectives. Information Governance: Concepts, Strategies, and Best Practices reveals how, and why, to utilize IG and leverage information technologies to control, monitor, and enforce information access and security policies. Written by one of the most recognized and published experts on information governance, including specialization in e-document security and electronic records management Provides big picture guidance on the imperative for information governance and best practice guidance on electronic document and records management Crucial advice and insights for compliance and risk managers, operations managers, corporate counsel, corporate records managers, legal administrators, information technology managers, archivists, knowledge managers, and information governance professionals IG sets the policies that control and manage the use of organizational information, including social media, mobile computing, cloud computing, email, instant messaging, and the use of e-documents and records. This extends to e-discovery planning and preparation. Information Governance: Concepts, Strategies, and Best Practices provides step-by-step guidance for developing information governance strategies and practices to manage risk in the use of electronic business documents and records. |
| forrester master data management: InfoWorld , 2005-11-07 InfoWorld is targeted to Senior IT professionals. Content is segmented into Channels and Topic Centers. InfoWorld also celebrates people, companies, and projects. |
| forrester master data management: Data Quality Rupa Mahanti, 2019-03-18 This is not the kind of book that youll read one time and be done with. So scan it quickly the first time through to get an idea of its breadth. Then dig in on one topic of special importance to your work. Finally, use it as a reference to guide your next steps, learn details, and broaden your perspective. from the foreword by Thomas C. Redman, Ph.D., the Data Doc Good data is a source of myriad opportunities, while bad data is a tremendous burden. Companies that manage their data effectively are able to achieve a competitive advantage in the marketplace, while bad data, like cancer, can weaken and kill an organization. In this comprehensive book, Rupa Mahanti provides guidance on the different aspects of data quality with the aim to be able to improve data quality. Specifically, the book addresses: -Causes of bad data quality, bad data quality impacts, and importance of data quality to justify the case for data quality-Butterfly effect of data quality-A detailed description of data quality dimensions and their measurement-Data quality strategy approach-Six Sigma - DMAIC approach to data quality-Data quality management techniques-Data quality in relation to data initiatives like data migration, MDM, data governance, etc.-Data quality myths, challenges, and critical success factorsStudents, academicians, professionals, and researchers can all use the content in this book to further their knowledge and get guidance on their own specific projects. It balances technical details (for example, SQL statements, relational database components, data quality dimensions measurements) and higher-level qualitative discussions (cost of data quality, data quality strategy, data quality maturity, the case made for data quality, and so on) with case studies, illustrations, and real-world examples throughout. |
| forrester master data management: Data Virtualization for Business Intelligence Systems Rick van der Lans, 2012-07-25 Annotation In this book, Rick van der Lans explains how data virtualization servers work, what techniques to use to optimize access to various data sources and how these products can be applied in different projects. |
| forrester master data management: Management of Data Quality in Enterprise Resource Planning Systems Michael Röthlin, 2010 Originally presented as the author's thesis (doctoral)--Universiteat Bern, 2010. |
| forrester master data management: Everybody Wants to Rule the World R "Ray" Wang, 2021-07-13 Which kinds of companies will thrive and which will get crushed by the powerful forces in the global business landscape now at work? This groundbreaking new guide will help you adapt and change your business to thrive among digital giants, including Google, Facebook, and Amazon. Drawing on considerable original research and case studies from Wang’s acclaimed firm, Constellation Research, this groundbreaking guide reveals which kinds of companies will thrive and which will get crushed by the powerful forces now at work. Ultimately, you will understand how the business world is changing in the face of extreme competition and, most importantly, you will learn how to adapt now to stay relevant and in demand. Everybody Wants to Rule the World will help you: Understand the power of Data-Driven Digital Networks and how they have driven the most successful companies of our time. Learn how extreme consolidation is changing the global business landscape and what this means for businesses of all types and sizes in terms of understanding where you fit in the value chain. Gain insights into what innovative companies are doing right now to position themselves in this new reality. Take your business from status quo to market leader. |
| forrester master data management: T Bytes Digital Customer Experience IT Shades.com, 2020-12-02 This document brings together a set of latest data points and publicly available information relevant for Digital Customer Experience Industry. We are very excited to share this content and believe that readers will benefit from this periodic publication immensely. |
| forrester master data management: Customer Data Integration Jill Dyché, Evan Levy, 2011-01-31 Customers are the heart of any business. But we can't succeed if we develop only one talk addressed to the 'average customer.' Instead we must know each customer and build our individual engagements with that knowledge. If Customer Relationship Management (CRM) is going to work, it calls for skills in Customer Data Integration (CDI). This is the best book that I have seen on the subject. Jill Dyché is to be complimented for her thoroughness in interviewing executives and presenting CDI. -Philip Kotler, S. C. Johnson Distinguished Professor of International Marketing Kellogg School of Management, Northwestern University In this world of killer competition, hanging on to existing customers is critical to survival. Jill Dyché's new book makes that job a lot easier than it has been. -Jack Trout, author, Differentiate or Die Jill and Evan have not only written the definitive work on Customer Data Integration, they've made the business case for it. This book offers sound advice to business people in search of innovative ways to bring data together about customers-their most important asset-while at the same time giving IT some practical tips for implementing CDI and MDM the right way. -Wayne Eckerson, The Data Warehousing Institute author of Performance Dashboards: Measuring, Monitoring, and Managing Your Business Whatever business you're in, you're ultimately in the customer business. No matter what your product, customers pay the bills. But the strategic importance of customer relationships hasn't brought companies much closer to a single, authoritative view of their customers. Written from both business and technicalperspectives, Customer Data Integration shows companies how to deliver an accurate, holistic, and long-term understanding of their customers through CDI. |
| forrester master data management: Executive MBA in IT - City of London College of Economics - 12 months - 100% online / self-paced City of London College of Economics, Overview An MBA in information technology (or a Master of Business Administration in Information Technology) is a degree that will prepare you to be a leader in the IT industry. Content - Managing Projects and IT - Information Systems and Information Technology - IT Manager's Handbook - Business Process Management - Human Resource Management - Principles of Marketing - The Leadership - Just What Does an IT Manager Do? - The Strategic Value of the IT Department - Developing an IT Strategy - Starting Your New Job - The First 100 Days etc. - Managing Operations - Cut-Over into Operations - Agile-Scrum Project Management - IT Portfolio Management - The IT Organization etc. - Introduction to Project Management - The Project Management and Information Technology Context - The Project Management Process Groups: A Case Study - Project Integration Management - Project Scope Management - Project Time Management - Project Cost Management - Project Quality Management - Project Human Resource Management - Project Communications Management - Project Risk Management - Project Procurement Management - Project Stakeholder Management - 50 Models for Strategic Thinking - English Vocabulary For Computers and Information Technology Duration 12 months Assessment The assessment will take place on the basis of one assignment at the end of the course. Tell us when you feel ready to take the exam and we’ll send you the assignment questions. Study material The study material will be provided in separate files by email / download link. |
| forrester master data management: Computing Handbook Heikki Topi, Allen Tucker, 2014-05-14 The second volume of this popular handbook demonstrates the richness and breadth of the IS and IT disciplines. The book explores their close links to the practice of using, managing, and developing IT-based solutions to advance the goals of modern organizational environments. Established leading experts and influential young researchers present introductions to the current status and future directions of research and give in-depth perspectives on the contributions of academic research to the practice of IS and IT development, use, and management. |
| forrester master data management: IT Consultant Diploma - City of London College of Economics - 12 months - 100% online / self-paced City of London College of Economics, Overview This course deals with everything you need to know to become a successful IT Consultant. Content - Business Process Management - Human Resource Management - IT Manager's Handbook - Principles of Marketing - The Leadership - Information Systems and Information Technology - IT Project Management Duration 12 months Assessment The assessment will take place on the basis of one assignment at the end of the course. Tell us when you feel ready to take the exam and we’ll send you the assignment questions. Study material The study material will be provided in separate files by email / download link. |
| forrester master data management: Computing Handbook Allen Tucker, Teofilo Gonzalez, Heikki Topi, Jorge Diaz-Herrera, 2022-05-29 This two volume set of the Computing Handbook, Third Edition (previously theComputer Science Handbook) provides up-to-date information on a wide range of topics in computer science, information systems (IS), information technology (IT), and software engineering. The third edition of this popular handbook addresses not only the dramatic growth of computing as a discipline but also the relatively new delineation of computing as a family of separate disciplines as described by the Association for Computing Machinery (ACM), the IEEE Computer Society (IEEE-CS), and the Association for Information Systems (AIS). Both volumes in the set describe what occurs in research laboratories, educational institutions, and public and private organizations to advance the effective development and use of computers and computing in today's world. Research-level survey articles provide deep insights into the computing discipline, enabling readers to understand the principles and practices that drive computing education, research, and development in the twenty-first century. Chapters are organized with minimal interdependence so that they can be read in any order and each volume contains a table of contents and subject index, offering easy access to specific topics. The first volume of this popular handbook mirrors the modern taxonomy of computer science and software engineering as described by the Association for Computing Machinery (ACM) and the IEEE Computer Society (IEEE-CS). Written by established leading experts and influential young researchers, it examines the elements involved in designing and implementing software, new areas in which computers are being used, and ways to solve computing problems. The book also explores our current understanding of software engineering and its effect on the practice of software development and the education of software professionals. The second volume of this popular handbook demonstrates the richness and breadth of the IS and IT disciplines. The book explores their close links to the practice of using, managing, and developing IT-based solutions to advance the goals of modern organizational environments. Established leading experts and influential young researchers present introductions to the current status and future directions of research and give in-depth perspectives on the contributions of academic research to the practice of IS and IT development, use, and management. |
| forrester master data management: BPMN 2.0 Handbook Second Edition Stephen A. White, Conrad Bock, 2011-12-01 Examines what's new and updated in BPMN 2.0 and look at interchange, best practice, analytics, conformance, optimization, choreography from a technical perspective. Also addresses the business imperative for widespred adoption of the standard by examining best practice guidelines, BPMN busines strategy and the human interface including real-life case studies. Other chapters tackle the practical aspects of making BPMN model executable and the basic time-line analysis of a BPMN model. |
| forrester master data management: Алгоритм стратегического управления активами для EAM-систем А. Сухобоков, 2022-01-27 По аналогии с MRP II для планирования потоков материалов в статье предложен алгоритм долгосрочного оптимального управления активами для предприятий, имеющих большой парк активов. Алгоритм предполагает генерацию вариантов долгосрочного развития предприятия и их перебор с целью поиска варианта, обеспечивающего максимум суммарной дисконтированной прибыли за весь период. Варианты определяют сроки завершения проектов по приобретению и строительству новых активов, реконструкции существующих.Период анализа каждого варианта разбивается на годовые интервалы, для которых рассчитываются оптимальные планы внутренних цепочек поставок, и производится оценка их исполнимости имеющимися активами. Разработана архитектура комплекса программных средств, позволяющего реализовать предложенный алгоритм. |
| forrester master data management: The Software Principles of Design for Data Modeling Samanta, Debabrata, 2023-09-12 The Software Principles of Design for Data Modeling, written by Debabrata Samanta of Rochester Institute of Technology in Kosovo, offers a practical and comprehensive solution to the challenges of designing effective software architecture for data modeling. This book covers key topics such as gathering requirements, modeling requirements with use cases, testing the system, building entity-relationship models, building class models in UML with patterns of data modeling and software quality attributes, and use case modeling. It also includes case studies of relational and object-relational database schema design. The unique approach of this book lies in its unifying method for designing software architecture for data modeling. It addresses specific design issues for various types of software systems, including object-oriented, client/server, service-oriented, component-based, real-time, and software product line architectures. With its practical guidance, standard method for modeling requirements and analysis, and comprehensive coverage of key topics and case studies, this book is a must-read for anyone interested in designing effective software architecture for data modeling, whether you are an academic scholar or a professional in the field. |
| forrester master data management: Data Teams Jesse Anderson, 2020 |
| forrester master data management: Identity Management on a Shoestring Ganesh Prasad, Umesh Rajbhandari, 2012-08-29 This book is aimed at Security and IT practitioners (especially architects) in end-user organisations who are responsible for implementing an enterprise-wide Identity and Access Management (IAM) system. It is neither a conceptual treatment of Identity (for which we would refer the reader to Kim Cameron's excellent work on the Laws of Identity) nor a detailed technical manual on a particular product. It describes a pragmatic and cost-effective architectural approach to implementing IAM within an organisation, based on the experience of the authors. |
Forrester 公司简介
作为全球最具影响力的独立研究咨询公司之一，Forrester 协助商业和技术领袖，推动以客户为中心的愿景、战略及执行力，由此驱动商业增长。Forrester 每年面向世界超过690,000名消费者和 …
Forrester
Discover the top 10 emerging technologies shaping 2025, based on Forrester’s exhaustive research. Explore the impact, use cases, and benefit horizons of technologies like agentic AI, …
Forrester 中国: 畅想变革
Forrester 作为全球最具影响力的独立研究咨询公司之一，提供与中国市场相关的研究洞察、市场趋势和最佳实践，例如：中国客户体验趋势、科技厂商在中国的本土化策略、中国科技市场展望 …
Analyst Briefings - Forrester
Forrester analysts use briefings to learn about changes in markets, providers, and services. To increase their understanding of your business, the analyst will ask you clarifying questions.
2021-年亚太区市场趋势预测 - Forrester
Forrester预测2021年，亚太地区将在欧美之前率先走出疫情，企业将在技术驱动的体验、运营、产品和生态系统方向加倍投入实践。 立即下载指南，了解未来一年值得亚太商业和技术领导者 …
Use Journey Maps To Kick-Start A CX Transformation | Forrester
Guide to learn how to leverage new or existing journey maps to spur investment and interest in CX, as well as boost performance.
Momentum Is Building For CX, But Will It Continue? - Forrester
Forrester’s CX Index™ 2019 results reveal that more brands are inching forward along their CX transformation journey. But these are early days yet, and most firms are stagnant. …
Asia Pacific - Forrester
Apr 3, 2025 · Read Forrester's insights on financial services, marketing, technology, and more in the Asia Pacific (APAC) region.
Align Your Revenue Generating Ecosystem - Forrester
Forrester’s SiriusDecisions Research delivers operational intelligence and fact-based insights to functional leaders of B2B organizations and their teams so they can align across the revenue …
Forrester Europe Predictions 2021: All Complimentary Resources
Discover the insights necessary to prepare your organisation for 2021 using Forrester's European Predictions Resources Finder.
Forrester 公司简介
作为全球最具影响力的独立研究咨询公司之一，Forrester 协助商业和技术领袖，推动以客户为中心的愿景、战略及执行力，由此驱动商业增长。Forrester 每年面向世界超过690,000名消费者和 …
Forrester
Discover the top 10 emerging technologies shaping 2025, based on Forrester’s exhaustive research. Explore the impact, use cases, and benefit horizons of technologies like agentic AI, …
Forrester 中国: 畅想变革
Forrester 作为全球最具影响力的独立研究咨询公司之一，提供与中国市场相关的研究洞察、市场趋势和最佳实践，例如：中国客户体验趋势、科技厂商在中国的本土化策略、中国科技市场展望 …
Analyst Briefings - Forrester
Forrester analysts use briefings to learn about changes in markets, providers, and services. To increase their understanding of your business, the analyst will ask you clarifying questions.
2021-年亚太区市场趋势预测 - Forrester
Forrester预测2021年，亚太地区将在欧美之前率先走出疫情，企业将在技术驱动的体验、运营、产品和生态系统方向加倍投入实践。 立即下载指南，了解未来一年值得亚太商业和技术领导者关 …
Use Journey Maps To Kick-Start A CX Transformation | Forrester
Guide to learn how to leverage new or existing journey maps to spur investment and interest in CX, as well as boost performance.
Momentum Is Building For CX, But Will It Continue? - Forrester
Forrester’s CX Index™ 2019 results reveal that more brands are inching forward along their CX transformation journey. But these are early days yet, and most firms are stagnant. …
Asia Pacific - Forrester
Apr 3, 2025 · Read Forrester's insights on financial services, marketing, technology, and more in the Asia Pacific (APAC) region.
Align Your Revenue Generating Ecosystem - Forrester
Forrester’s SiriusDecisions Research delivers operational intelligence and fact-based insights to functional leaders of B2B organizations and their teams so they can align across the revenue …
Forrester Europe Predictions 2021: All Complimentary Resources
Discover the insights necessary to prepare your organisation for 2021 using Forrester's European Predictions Resources Finder.
