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| gartner magic quadrant for master data management solutions: 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. |
| gartner magic quadrant for master data management solutions: T-bytes Digital Customer Experience IT-Shades, 2020-03-03 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. |
| gartner magic quadrant for master data management solutions: T-Bytes Digital Customer Experience V Gupta, 2020-01-02 This document brings together a set of latest data points and publicly available information relevant for Digital Customer Expierence. We are very excited to share this content and believe that readers will benefit immensely from this periodic publication immensely. |
| gartner magic quadrant for master data management solutions: T-Byte Digital Customer Experience V Gupta, 2020-01-01 This document brings together a set of latest data points and publicly available information relevant for Digital Customer Expierence. We are very excited to share this content and believe that readers will benefit immensely from this periodic publication immensely. |
| gartner magic quadrant for master data management solutions: T-Bytes IoT & AR Industry V Gupta, 2019-12-28 This document brings together a set of latest data points and publicly available information relevant for Digital Customer Expierence. We are very excited to share this content and believe that readers will benefit immensely from this periodic publication immensely. |
| gartner magic quadrant for master data management solutions: Data Governance Dimitrios Sargiotis, |
| gartner magic quadrant for master data management solutions: The Semantic Web - ISWC 2009 Abraham Bernstein, David R. Karger, Tom Heath, Lee Feigenbaum, Diana Maynard, Enrico Motta, Krishnaprasad Thirunarayan, 2009-11-06 As the Web continues to grow, increasing amounts of data are being made available for human and machine consumption. This emerging Semantic Web is rapidly entering the mainstream and, as a result, a variety of new solutions for searching, aggregating and the intelligent delivery of information are being produced,bothinresearchandcommercialsettings.Severalnewchallengesarise from this context, both from a technical and human–computer interaction p- spective – e.g., as issues to do with the scalability andusability of Semantic Web solutions become particularly important. The International Semantic Web Conference (ISWC) is the major inter- tional forum where the latest research results and technical innovations on all aspects of the Semantic Web are presented. ISWC brings together researchers, practitioners, and users from the areas of arti?cial intelligence, databases, social networks,distributedcomputing,Webengineering,informationsystems,natural language processing, soft computing, and human–computer interaction to d- cuss the major challenges and proposed solutions, success stories and failures, as well the visions that can advance the ?eld. |
| gartner magic quadrant for master data management solutions: T Bytes Digital Customer Experience ITShades.com, 2020-10-30 This document brings together a set of latest data points and publicly available information relevant for Digital Customer Experience Technology. We are very excited to share this content and believe that readers will benefit from this periodic publication immensely. |
| gartner magic quadrant for master data management solutions: Digital to the Core Mark Raskino, Graham Waller, 2016-09-12 There is no simple strategic method for dealing with the multidimensional nature of digital change. Even the sharpest leaders can become disoriented as change builds on change, leaving almost nothing certain. Yet to stand still is to fail. Enterprises and leaders must re-master themselves to succeed. Leaders must identify the key macro forces, then lead their organizations at three distinct levels: industry, enterprise, and self. By doing this they cannot only survive but clean up. Digital to the Core makes the case that all business leaders must understand the impact the digital revolution will continue to play in their industries, companies, and leadership style and practices. Drawing on interviews with over 30 top C-level executives in some of the world's most powerful companies and government organizations, including GE, Ford, Tory Burch, Babolat, McDonalds, Publicis and UK Government Digital Service, this book delivers practical insights from those on the front lines of major digital upheaval. The authors incorporate Gartner's annual CIO and CEO global survey research and also apply the deep knowledge and qualitative insights they have acquired as practitioners, management researchers, and advisors over decades in the business. Above all else, Raskino and Waller want companies and their top leaders to understand the full impact of digital change and integrate it at the core of their businesses. |
| gartner magic quadrant for master data management solutions: A Deep Dive into NoSQL Databases: The Use Cases and Applications , 2018-04-20 A Deep Dive into NoSQL Databases: The Use Cases and Applications, Volume 109, the latest release in the Advances in Computers series first published in 1960, presents detailed coverage of innovations in computer hardware, software, theory, design and applications. In addition, it provides contributors with a medium in which they can explore their subjects in greater depth and breadth. This update includes sections on NoSQL and NewSQL databases for big data analytics and distributed computing, NewSQL databases and scalable in-memory analytics, NoSQL web crawler application, NoSQL Security, a Comparative Study of different In-Memory (No/New)SQL Databases, NoSQL Hands On-4 NoSQLs, the Hadoop Ecosystem, and more. - Provides a very comprehensive, yet compact, book on the popular domain of NoSQL databases for IT professionals, practitioners and professors - Articulates and accentuates big data analytics and how it gets simplified and streamlined by NoSQL database systems - Sets a stimulating foundation with all the relevant details for NoSQL database researchers, developers and administrators |
| gartner magic quadrant for master data management solutions: 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. |
| gartner magic quadrant for master data management solutions: Meeting the Challenges of Data Quality Management Laura Sebastian-Coleman, 2022-01-25 Meeting the Challenges of Data Quality Management outlines the foundational concepts of data quality management and its challenges. The book enables data management professionals to help their organizations get more value from data by addressing the five challenges of data quality management: the meaning challenge (recognizing how data represents reality), the process/quality challenge (creating high-quality data by design), the people challenge (building data literacy), the technical challenge (enabling organizational data to be accessed and used, as well as protected), and the accountability challenge (ensuring organizational leadership treats data as an asset). Organizations that fail to meet these challenges get less value from their data than organizations that address them directly. The book describes core data quality management capabilities and introduces new and experienced DQ practitioners to practical techniques for getting value from activities such as data profiling, DQ monitoring and DQ reporting. It extends these ideas to the management of data quality within big data environments. This book will appeal to data quality and data management professionals, especially those involved with data governance, across a wide range of industries, as well as academic and government organizations. Readership extends to people higher up the organizational ladder (chief data officers, data strategists, analytics leaders) and in different parts of the organization (finance professionals, operations managers, IT leaders) who want to leverage their data and their organizational capabilities (people, processes, technology) to drive value and gain competitive advantage. This will be a key reference for graduate students in computer science programs which normally have a limited focus on the data itself and where data quality management is an often-overlooked aspect of data management courses. - Describes the importance of high-quality data to organizations wanting to leverage their data and, more generally, to people living in today's digitally interconnected world - Explores the five challenges in relation to organizational data, including Big Data, and proposes approaches to meeting them - Clarifies how to apply the core capabilities required for an effective data quality management program (data standards definition, data quality assessment, monitoring and reporting, issue management, and improvement) as both stand-alone processes and as integral components of projects and operations - Provides Data Quality practitioners with ways to communicate consistently with stakeholders |
| gartner magic quadrant for master data management solutions: The Challenger Sale Matthew Dixon, Brent Adamson, 2011-11-10 What's the secret to sales success? If you're like most business leaders, you'd say it's fundamentally about relationships-and you'd be wrong. The best salespeople don't just build relationships with customers. They challenge them. The need to understand what top-performing reps are doing that their average performing colleagues are not drove Matthew Dixon, Brent Adamson, and their colleagues at Corporate Executive Board to investigate the skills, behaviors, knowledge, and attitudes that matter most for high performance. And what they discovered may be the biggest shock to conventional sales wisdom in decades. Based on an exhaustive study of thousands of sales reps across multiple industries and geographies, The Challenger Sale argues that classic relationship building is a losing approach, especially when it comes to selling complex, large-scale business-to-business solutions. The authors' study found that every sales rep in the world falls into one of five distinct profiles, and while all of these types of reps can deliver average sales performance, only one-the Challenger- delivers consistently high performance. Instead of bludgeoning customers with endless facts and features about their company and products, Challengers approach customers with unique insights about how they can save or make money. They tailor their sales message to the customer's specific needs and objectives. Rather than acquiescing to the customer's every demand or objection, they are assertive, pushing back when necessary and taking control of the sale. The things that make Challengers unique are replicable and teachable to the average sales rep. Once you understand how to identify the Challengers in your organization, you can model their approach and embed it throughout your sales force. The authors explain how almost any average-performing rep, once equipped with the right tools, can successfully reframe customers' expectations and deliver a distinctive purchase experience that drives higher levels of customer loyalty and, ultimately, greater growth. |
| gartner magic quadrant for master data management solutions: Convergent Cognitive Information Technologies Vladimir Sukhomlin, Elena Zubareva, 2020-01-31 This book constitutes the refereed proceedings of the Third International Conference on Convergent Cognitive Information Technologies, Convergent 2018, held in Moscow, Russia, in December 2018. The 26 revised full papers and 9 short papers were carefully reviewed and selected from 147 submissions. The papers of this volume are organized in topical sections on theoretical questions of computer science, computational mathematics, computer science and cognitive information technologies; cognitive information technologies in control systems; big data and applications; the Internet of Things (IoT): standards, communication and information technologies, network applications; smart cities: standards, cognitive-information technologies and their applications.- cognitive information technologies in the digital economics.- digital transformation of transport. |
| gartner magic quadrant for master data management solutions: Management Information Systems Kenneth C. Laudon, Jane Price Laudon, 2004 Management Information Systems provides comprehensive and integrative coverage of essential new technologies, information system applications, and their impact on business models and managerial decision-making in an exciting and interactive manner. The twelfth edition focuses on the major changes that have been made in information technology over the past two years, and includes new opening, closing, and Interactive Session cases. |
| gartner magic quadrant for master data management solutions: The AI-Powered Enterprise Seth Earley, 2020-04-28 Learn how to develop and employ an ontology, the secret weapon for successfully using artificial intelligence to create a powerful competitive advantage in your business. The AI-Powered Enterprise examines two fundamental questions: First, how will the future be different as a result of artificial intelligence? And second, what must companies do to stake their claim on that future? When the Web came along in the mid-90s, it transformed the behavior of customers and remade whole industries. Now, as part of its promise to bring revolutionary change in untold ways to human activity, artificial intelligence--AI--is about to create another complete transformation in how companies create and deliver value to customers. But despite the billions spent so far on bots and other tools, AI continues to stumble. Why can't it magically use all the data organizations generate to make them run faster and better? Because something is missing. AI works only when it understands the soul of the business. An ontology is a holistic digital model of every piece of information that matters to the business, from processes to products to people, and it's what makes the difference between the promise of AI and delivering on that promise. Business leaders who want to catch the AI wave--rather than be crushed by it--need to read The AI-Powered Enterprise. The book is the first to combine a sophisticated explanation of how AI works with a practical approach to applying AI to the problems of business, from customer experience to business operations to product development. |
| gartner magic quadrant for master data management solutions: 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. |
| gartner magic quadrant for master data management solutions: Handbook of Research on Engineering Education in a Global Context Smirnova, Elena V., Clark, Robin P., 2018-08-31 Engineering education methods and standards are important features of engineering programs that should be carefully designed both to provide students and stakeholders with valuable, active, integrated learning experiences, and to provide a vehicle for assessing program outcomes. With the driving force of the globalization of the engineering profession, standards should be developed for mutual recognition of engineering education across the world, but it is proving difficult to achieve. The Handbook of Research on Engineering Education in a Global Context provides innovative insights into the importance of quality training and preparation for engineering students. It explores the common and current problems encountered in areas such as quality and standards, management information systems, innovation and enhanced learning technologies in education, as well as the challenges of employability, entrepreneurship, and diversity. This publication is vital reference source for science and engineering educators, engineering professionals, and educational administrators interested in topics centered on the education of students in the field of engineering. |
| gartner magic quadrant for master data management solutions: SAP HANA 2.0 Denys Van Kempen, 2019 Enter the fast-paced world of SAP HANA 2.0 with this introductory guide. Begin with an exploration of the technological backbone of SAP HANA as a database and platform. Then, step into key SAP HANA user roles and discover core capabilities for administration, application development, advanced analytics, security, data integration, and more. No matter how SAP HANA 2.0 fits into your business, this book is your starting point. In this book, you'll learn about: a. Technology Discover what makes an in-memory database platform. Learn about SAP HANA's journey from version 1.0 to 2.0, take a tour of your technology options, and walk through deployment scenarios and implementation requirements. b. Tools Unpack your SAP HANA toolkit. See essential tools in action, from SAP HANA cockpit and SAP HANA studio, to the SAP HANA Predictive Analytics Library and SAP HANA smart data integration. c. Key Roles Understand how to use SAP HANA as a developer, administrator, data scientist, data center architect, and more. Explore key tasks like backend programming with SQLScript, security setup with roles and authorizations, data integration with the SAP HANA Data Management Suite, and more. Highlights include: 1) Architecture 2) Administration 3) Application development 4) Analytics 5) Security 6) Data integration 7) Data architecture 8) Data center |
| gartner magic quadrant for master data management solutions: Wolf in Cio's Clothing Tina Nunno, 2016-09-19 Machiavellians are few in number in IT. The massive pressure on CIOs continues to increase as the opportunities to use technology in business become more prevalent and more competitive. As CIOs often find themselves at the center of business conflict, they must not only familiarize themselves with Machiavellian tactics as a defensive weapon, but also learn to use them as an offensive weapon in extreme situations so that they can increase IT's contribution to their enterprises. As Italian political philosopher Niccolo Machiavelli implied, you're either predator or prey, and the animal you most resemble determines your position on the food chain. In The Wolf in CIO's Clothing Gartner analyst and author Tina Nunno expands on Machiavelli's metaphor, examining seven animal types and the leadership attributes of each. Nunno posits the wolf -- a social animal with strong predatory instincts -- as the ideal example of how a leader can adapt and thrive. Technology may be black and white, but successful leadership demands an ability to exist in the grey. Drawing on her experience with hundreds of CIOs, Nunno charts a viable way to master the Machiavellian principles of power, manipulation, love, and war. Through compelling case studies, her approach demonstrates how CIOs and IT leaders can adjust their leadership styles in extreme situations for their own success and that of their teams. |
| gartner magic quadrant for master data management solutions: T Bytes Platforms & Applications ITShades.com, 2020-10-28 This document brings together a set of latest data points and publicly available information relevant for Platforms & Applications Industry. We are very excited to share this content and believe that readers will benefit from this periodic publication immensely. |
| gartner magic quadrant for master data management solutions: Business Metadata: Capturing Enterprise Knowledge W.H. Inmon, Bonnie O'Neil, Lowell Fryman, 2010-07-28 Business Metadata: Capturing Enterprise Knowledge is the first book that helps businesses capture corporate (human) knowledge and unstructured data, and offer solutions for codifying it for use in IT and management. Written by Bill Inmon, one of the fathers of the data warehouse and well-known author, the book is filled with war stories, examples, and cases from current projects. It includes a complete metadata acquisition methodology and project plan to guide readers every step of the way, and sample unstructured metadata for use in self-testing and developing skills. This book is recommended for IT professionals, including those in consulting, working on systems that will deliver better knowledge management capability. This includes people in these positions: data architects, data analysts, SOA architects, metadata analysts, repository (metadata data warehouse) managers as well as vendors that have a metadata component as part of their systems or tools. - First book that helps businesses capture corporate (human) knowledge and unstructured data, and offer solutions for codifying it for use in IT and management - Written by Bill Inmon, one of the fathers of the data warehouse and well-known author, and filled with war stories, examples, and cases from current projects - Very practical, includes a complete metadata acquisition methodology and project plan to guide readers every step of the way - Includes sample unstructured metadata for use in self-testing and developing skills |
| gartner magic quadrant for master data management solutions: SAP C/4HANA Sanjjeev K. Singh, Drew Messinger-Michaels, Sven Feurer, Thomas Vetter, 2019 |
| gartner magic quadrant for master data management solutions: Gartner and the Magic Quadrant Shaun Snapp, 2013-10 If you want to get more out of your Gartner research subscription, this book is for you! Whether you are a software buyer, a large or small vendor, or are wondering how Gartner can help you make better investment decisions, this book will give you new insights to Gartner's research. By studying the methodology behind such popular analytical tools as the Magic Quadrant, you will understand how a vendor earned its rating and whether or not the ratings are justified! Starting with the history of Gartner and how it compares to other IT analyst firms, this book gives a realistic assessment of the value of Gartner research to a company and provides ideas about other resources that could complement Gartner's analysis. You will also have the tools to level the playing field between large, medium and small vendors when using Gartner's analysis in selecting software. By reading this book, you will: Evaluate whether or not a Gartner subscription is of value to your company Adjust the Magic Quadrant to get a more realistic assessment of large and small vendors and their products Increase the value of your interactions with Gartner analysts Understand Gartner's biases and how Gartner makes money, and how this impacts its research results Appreciate the effects of cloud computing on Gartner, and why it matters to you Choose consulting services with confidence Assess the value of Gartner's other analytical products to your business |
| gartner magic quadrant for master data management solutions: The Practitioner's Guide to Data Quality Improvement David Loshin, 2010-11-22 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. |
| gartner magic quadrant for master data management solutions: Tableau Your Data! Daniel G. Murray, 2016-01-29 Transform your organization's data into actionable insights with Tableau Tableau is designed specifically to provide fast and easy visual analytics. The intuitive drag-and-drop interface helps you create interactive reports, dashboards, and visualizations, all without any special or advanced training. This all new edition of Tableau Your Data! is your Tableau companion, helping you get the most out of this invaluable business toolset. Tableau Your Data! shows you how to build dynamic, best of breed visualizations using the Tableau Software toolset. This comprehensive guide covers the core feature set for data analytics, and provides clear step-by-step guidance toward best practices and advanced techniques that go way beyond the user manual. You'll learn how Tableau is different from traditional business information analysis tools, and how to navigate your way around the Tableau 9.0 desktop before delving into functions and calculations, as well as sharing with the Tableau Server. Analyze data more effectively with Tableau Desktop Customize Tableau's settings for your organization's needs with detailed real-world examples on data security, scaling, syntax, and more Deploy visualizations to consumers throughout the enterprise - from sales to marketing, operations to finance, and beyond Understand Tableau functions and calculations and leverage Tableau across every link in the value chain Learn from actual working models of the book's visualizations and other web-based resources via a companion website Tableau helps you unlock the stories within the numbers, and Tableau Your Data! puts the software's full functionality right at your fingertips. |
| gartner magic quadrant for master data management solutions: 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 |
| gartner magic quadrant for master data management solutions: Computer Science and Education in Computer Science Tanya Zlateva, Georgi Tuparov, 2023-11-11 This book constitutes the refereed post-conference proceedings of the 19th International Conference on Computer Science and Education in Computer Science, CSECS 2023, held in June 2023 in Boston, MA, USA. The 23 full papers and 9 short papers were carefully reviewed and selected from 88 submissions. The papers cover many systems technologies, applications, and services as well as solutions. Multiple topics have been addressed including the theory of computation, models of computation, computational complexity and cryptography, logic, design, and analysis of algorithms, network architectures, performance evaluation, network services, software engineering, software creation, and management, applied computing, machine learning, and education. |
| gartner magic quadrant for master data management solutions: Data Warehousing Fundamentals Paulraj Ponniah, 2004-04-07 Geared to IT professionals eager to get into the all-importantfield of data warehousing, this book explores all topics needed bythose who design and implement data warehouses. Readers will learnabout planning requirements, architecture, infrastructure, datapreparation, information delivery, implementation, and maintenance.They'll also find a wealth of industry examples garnered from theauthor's 25 years of experience in designing and implementingdatabases and data warehouse applications for majorcorporations. Market: IT Professionals, Consultants. |
| gartner magic quadrant for master data management solutions: 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. |
| gartner magic quadrant for master data management solutions: Requirements Engineering Ian Sommerville, Pete Sawyer, 1997-05-05 Zwei beliebte Autoren des Software-Engineerings stellen diese Seite des Gebietes in einer praxisnahen FAQ-Form (Fragen und Antworten) vor. Sie legen dar, wie die Anforderungen an eine Software (Pflichtenheft) den Vorstellungen der Nutzer entsprechen sollte. |
| gartner magic quadrant for master data management solutions: Building the Data Lakehouse Bill Inmon, Ranjeet Srivastava, Mary Levins, 2021-10 The data lakehouse is the next generation of the data warehouse and data lake, designed to meet today's complex and ever-changing analytics, machine learning, and data science requirements. Learn about the features and architecture of the data lakehouse, along with its powerful analytical infrastructure. Appreciate how the universal common connector blends structured, textual, analog, and IoT data. Maintain the lakehouse for future generations through Data Lakehouse Housekeeping and Data Future-proofing. Know how to incorporate the lakehouse into an existing data governance strategy. Incorporate data catalogs, data lineage tools, and open source software into your architecture to ensure your data scientists, analysts, and end users live happily ever after. |
| gartner magic quadrant for master data management solutions: Business World , 2007-10 |
| gartner magic quadrant for master data management solutions: Enterprise Data Governance Pierre Bonnet, 2013-03-04 In an increasingly digital economy, mastering the quality of data is an increasingly vital yet still, in most organizations, a considerable task. The necessity of better governance and reinforcement of international rules and regulatory or oversight structures (Sarbanes Oxley, Basel II, Solvency II, IAS-IFRS, etc.) imposes on enterprises the need for greater transparency and better traceability of their data. All the stakeholders in a company have a role to play and great benefit to derive from the overall goals here, but will invariably turn towards their IT department in search of the answers. However, the majority of IT systems that have been developed within businesses are overly complex, badly adapted, and in many cases obsolete; these systems have often become a source of data or process fragility for the business. It is in this context that the management of ‘reference and master data’ or Master Data Management (MDM) and semantic modeling can intervene in order to straighten out the management of data in a forward-looking and sustainable manner. This book shows how company executives and IT managers can take these new challenges, as well as the advantages of using reference and master data management, into account in answering questions such as: Which data governance functions are available? How can IT be better aligned with business regulations? What is the return on investment? How can we assess intangible IT assets and data? What are the principles of semantic modeling? What is the MDM technical architecture? In these ways they will be better able to deliver on their responsibilities to their organizations, and position them for growth and robust data management and integrity in the future. |
| gartner magic quadrant for master data management solutions: Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques Bart Baesens, Veronique Van Vlasselaer, Wouter Verbeke, 2015-08-17 Detect fraud earlier to mitigate loss and prevent cascading damage Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques is an authoritative guidebook for setting up a comprehensive fraud detection analytics solution. Early detection is a key factor in mitigating fraud damage, but it involves more specialized techniques than detecting fraud at the more advanced stages. This invaluable guide details both the theory and technical aspects of these techniques, and provides expert insight into streamlining implementation. Coverage includes data gathering, preprocessing, model building, and post-implementation, with comprehensive guidance on various learning techniques and the data types utilized by each. These techniques are effective for fraud detection across industry boundaries, including applications in insurance fraud, credit card fraud, anti-money laundering, healthcare fraud, telecommunications fraud, click fraud, tax evasion, and more, giving you a highly practical framework for fraud prevention. It is estimated that a typical organization loses about 5% of its revenue to fraud every year. More effective fraud detection is possible, and this book describes the various analytical techniques your organization must implement to put a stop to the revenue leak. Examine fraud patterns in historical data Utilize labeled, unlabeled, and networked data Detect fraud before the damage cascades Reduce losses, increase recovery, and tighten security The longer fraud is allowed to go on, the more harm it causes. It expands exponentially, sending ripples of damage throughout the organization, and becomes more and more complex to track, stop, and reverse. Fraud prevention relies on early and effective fraud detection, enabled by the techniques discussed here. Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques helps you stop fraud in its tracks, and eliminate the opportunities for future occurrence. |
| gartner magic quadrant for master data management solutions: Selling and Fulfillment Solutions Using WebSphere Commerce and IBM Sterling Order Management Charlton Lee, Yumman Chan, Feras Dawisha, Sankar Kalla, Brenda Lam, Bhavin M. Majithia, Craig Oakley, Pankajkumar H. Patel, IBM Redbooks, 2011-06-03 This IBM® Redbooks® publication brings together subject matter experts with experience using the leading IBM customer interaction platform for cross-channel and online commerce, IBM WebSphere® Commerce, with the powerful IBM Sterling Order Management, which coordinates order fulfillment from all channels and across the extended enterprise. An integrated solution was built in the lab that illustrates how these products can be integrated to benefit IBM customers. This publication focuses on the integration of the IBM high-volume commerce solution designed to address enterprise commerce needs by delivering a rich, robust multi-channel customer experience, with Sterling Order Management, designed to enable supplier collaboration with management and order fulfillment process optimization. By integrating WebSphere Commerce and Sterling Order Management with out-of-the-box components, we prove that customers are provided an end-to-end solution to address a complete opportunity for a fulfillment life cycle that is cost effective and easy to implement. This publication targets a technical audience for the documentation of the integration approach by explaining the solution architecture and the implementation details. However, this publication also contains introductory chapters that contain executive summary material and provides well-documented scenarios with use cases for business analysts whose domain would be these systems. |
| gartner magic quadrant for master data management solutions: Big Data Min Chen, Shiwen Mao, Yin Zhang, Victor C.M. Leung, 2014-05-05 This Springer Brief provides a comprehensive overview of the background and recent developments of big data. The value chain of big data is divided into four phases: data generation, data acquisition, data storage and data analysis. For each phase, the book introduces the general background, discusses technical challenges and reviews the latest advances. Technologies under discussion include cloud computing, Internet of Things, data centers, Hadoop and more. The authors also explore several representative applications of big data such as enterprise management, online social networks, healthcare and medical applications, collective intelligence and smart grids. This book concludes with a thoughtful discussion of possible research directions and development trends in the field. Big Data: Related Technologies, Challenges and Future Prospects is a concise yet thorough examination of this exciting area. It is designed for researchers and professionals interested in big data or related research. Advanced-level students in computer science and electrical engineering will also find this book useful. |
| gartner magic quadrant for master data management solutions: 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 |
| gartner magic quadrant for master data management solutions: Super Charge Your Data Warehouse Dan Linstedt, 2011-11-11 Do You Know If Your Data Warehouse Flexible, Scalable, Secure and Will It Stand The Test Of Time And Avoid Being Part Of The Dreaded Life Cycle? The Data Vault took the Data Warehouse world by storm when it was released in 2001. Some of the world's largest and most complex data warehouse situations understood the value it gave especially with the capabilities of unlimited scaling, flexibility and security. Here is what industry leaders say about the Data Vault The Data Vault is the optimal choice for modeling the EDW in the DW 2.0 framework - Bill Inmon, The Father of Data Warehousing The Data Vault is foundationally strong and an exceptionally scalable architecture - Stephen Brobst, CTO, Teradata The Data Vault should be considered as a potential standard for RDBMS-based analytic data management by organizations looking to achieve a high degree of flexibility, performance and openness - Doug Laney, Deloitte Analytics Institute I applaud Dan's contribution to the body of Business Intelligence and Data Warehousing knowledge and recommend this book be read by both data professionals and end users - Howard Dresner, From the Foreword - Speaker, Author, Leading Research Analyst and Advisor You have in your hands the work, experience and testing of 2 decades of building data warehouses. The Data Vault model and methodology has proven itself in hundreds (perhaps thousands) of solutions in Insurance, Crime-Fighting, Defense, Retail, Finance, Banking, Power, Energy, Education, High-Tech and many more. Learn the techniques and implement them and learn how to build your Data Warehouse faster than you have ever done before while designing it to grow and scale no matter what you throw at it. Ready to Super Charge Your Data Warehouse? |
| gartner magic quadrant for master data management solutions: SAP Integration Suite Christopher Aron, Piyush Gakhar, Shilpa Vij, 2021 SAP's integration technologies are now combined-but what is the SAP Integration Suite, and how do you use it to manage an integrated enterprise landscape? In this book, get the answers to these questions and more as you take a tour of the new suite. Then get step-by-step instructions for using key capabilities such as pre-packaged integrations, open APIs, integration scenarios, the integration advisor, and more. Master the complete integration suite!-- |
Gartner是一个什么样的机构？ - 知乎
Gartner（高德纳）成立于1979年，是全球最具权威的IT研究公司，其名头在顾问研究领域，可以说是无人不知无人不晓，在鼓公司拥有 1,200多位世界级分析专家。在全球的IT产业 …
Gartner魔力象限为什么会受到重视？ - 知乎
Gartner由Gartner研究与咨询服务、Gartner顾问、Gartner评测、Gartner社区四部分组成，在此我们不做过多阐述。 二维模型阐释公司实力四个象限评判企业差异 最为大家熟知的“Gartner魔 …
如何获取Gartner报告，付费账号怎么申请，年费多少？ - 知乎
其实也能找到一些渠道可以低价获取报告，之前试过以几百块的价格买过Gartner报告（比如技术成熟度曲线等），亲测过，如果需要可以私信我，我有空的情况下尽量传授经验。
普及一下什么是大数据技术？ - 知乎
知乎，中文互联网高质量的问答社区和创作者聚集的原创内容平台，于 2011 年 1 月正式上线，以「让人们更好的分享知识、经验和见解，找到自己的解答」为品牌使命。知乎凭借认真、专业 …
IDC研究方向，报告与Gartner 的主要区别是什么？ - 知乎
Gartner数据这块比较弱，分析师团队基本都Base在北美，没有数据相关的常规报告，中国分析师团队规模较小，常规报告都是全球的，基本不划分区域，不接地气。但是技术趋势分析和厂商 …
为人熟知的世界权威市场数据调查机构都有哪些？ - 知乎
为人熟知的世界权威市场数据调查机构都有哪些？ - 知乎
如何评价Gartner 刚发布的2020年 《NDR（网络威胁检测及响应） …
问题一、Gartner为什么把原来的《NTA全球市场指南》调整成了《NDR全球市场指南》？ NDR可以看作是NTA的进化版，都属于流量威胁检测设备。 Gartner把原来的NTA调整成NDR的原 …
EDR（终端检测与响应）和传统杀毒软件有什么区别？ - 知乎
EDR，是端点检测与响应(Endpoint Detection & Response，EDR)的缩写，Gartner 于 2013 年定义了这一术语，被认为是一种面向未来的终端解决方案，以端点为基础，结合终端安全大数据 …
如何获得Gartner、iSuppli、IDC之类的原报告？ - 知乎
我有过两种免费获得Gartner报告的经历： 1. 用大学邮箱注册，@unimelb.edu.au 我们学校有部分订阅。（母校威武）你们可以用所在组织邮箱注册一下，说不定订阅了。 2. 去领导者象限的 …
什么是BI，当前国内外BI的现状，BI的应用状况？ - 知乎
知乎，中文互联网高质量的问答社区和创作者聚集的原创内容平台，于 2011 年 1 月正式上线，以「让人们更好的分享知识、经验和见解，找到自己的解答」为品牌使命。知乎凭借认真、专业 …
Gartner是一个什么样的机构？ - 知乎
Gartner（高德纳）成立于1979年，是全球最具权威的IT研究公司，其名头在顾问研究领域，可以说是无人不知无人不晓，在鼓公司拥有 1,200多位世界级分析专家。在全球的IT产业中，Gartner …
Gartner魔力象限为什么会受到重视？ - 知乎
Gartner由Gartner研究与咨询服务、Gartner顾问、Gartner评测、Gartner社区四部分组成，在此我们不做过多阐述。 二维模型阐释公司实力四个象限评判企业差异 最为大家熟知的“Gartner魔 …
如何获取Gartner报告，付费账号怎么申请，年费多少？ - 知乎
其实也能找到一些渠道可以低价获取报告，之前试过以几百块的价格买过Gartner报告（比如技术成熟度曲线等），亲测过，如果需要可以私信我，我有空的情况下尽量传授经验。
普及一下什么是大数据技术？ - 知乎
知乎，中文互联网高质量的问答社区和创作者聚集的原创内容平台，于 2011 年 1 月正式上线，以「让人们更好的分享知识、经验和见解，找到自己的解答」为品牌使命。知乎凭借认真、专业 …
IDC研究方向，报告与Gartner 的主要区别是什么？ - 知乎
Gartner数据这块比较弱，分析师团队基本都Base在北美，没有数据相关的常规报告，中国分析师团队规模较小，常规报告都是全球的，基本不划分区域，不接地气。但是技术趋势分析和厂商 …
为人熟知的世界权威市场数据调查机构都有哪些？ - 知乎
为人熟知的世界权威市场数据调查机构都有哪些？ - 知乎
如何评价Gartner 刚发布的2020年 《NDR（网络威胁检测及响 …
问题一、Gartner为什么把原来的《NTA全球市场指南》调整成了《NDR全球市场指南》？ NDR可以看作是NTA的进化版，都属于流量威胁检测设备。 Gartner把原来的NTA调整成NDR的原 …
EDR（终端检测与响应）和传统杀毒软件有什么区别？ - 知乎
EDR，是端点检测与响应(Endpoint Detection & Response，EDR)的缩写，Gartner 于 2013 年定义了这一术语，被认为是一种面向未来的终端解决方案，以端点为基础，结合终端安全大数据 …
如何获得Gartner、iSuppli、IDC之类的原报告？ - 知乎
我有过两种免费获得Gartner报告的经历： 1. 用大学邮箱注册，@unimelb.edu.au 我们学校有部分订阅。（母校威武）你们可以用所在组织邮箱注册一下，说不定订阅了。 2. 去领导者象限的 …
什么是BI，当前国内外BI的现状，BI的应用状况？ - 知乎
知乎，中文互联网高质量的问答社区和创作者聚集的原创内容平台，于 2011 年 1 月正式上线，以「让人们更好的分享知识、经验和见解，找到自己的解答」为品牌使命。知乎凭借认真、专业 …
