Data Quality: The Accuracy Dimension is about assessing the quality of corporate data and improving its accuracy using the data profiling method.
Author: Jack E. Olson
Data Quality: The Accuracy Dimension is about assessing the quality of corporate data and improving its accuracy using the data profiling method. Corporate data is increasingly important as companies continue to find new ways to use it. Likewise, improving the accuracy of data in information systems is fast becoming a major goal as companies realize how much it affects their bottom line. Data profiling is a new technology that supports and enhances the accuracy of databases throughout major IT shops. Jack Olson explains data profiling and shows how it fits into the larger picture of data quality. * Provides an accessible, enjoyable introduction to the subject of data accuracy, peppered with real-world anecdotes. * Provides a framework for data profiling with a discussion of analytical tools appropriate for assessing data accuracy. * Is written by one of the original developers of data profiling technology. * Is a must-read for any data management staff, IT management staff, and CIOs of companies with data assets.
We have described the twin concepts of a data accuracy measurement
framework and a measurement system to help understand ... We have shown, by
example, how these concepts apply in situations that organizations and managers typically face. ... Data Warehousing Institute (TDW1) Report Series,
March. ... "The Notion of Data and Its Quality Dimensions. ... San Francisco: Morgan Kaufmann. Olson ...
Author: Vladimir Zwass
Publisher: M.E. Sharpe
Category: Language Arts & Disciplines
Annotation This volume presents research on information quality. Part I seeks to understand how data can be measured and evaluated for quality. Part II deals with ensuring quality while processing data into usable information. Part III presents case studies, and Part IV explores organizational issues. Part V addresses issues in information quality education.
The case gives detailed indication for the establishment of Data Governance in
large enterprises. The findings are ... of data governance. In: 19th European
Conference on Information Systems, Helsinki, Finland 7. ... Olson J (2003) Data quality—the accuracy dimension. Morgan Kaufmann, San Francisco 15. Redman
Author: Shazia Sadiq
Publisher: Springer Science & Business Media
The issue of data quality is as old as data itself. However, the proliferation of diverse, large-scale and often publically available data on the Web has increased the risk of poor data quality and misleading data interpretations. On the other hand, data is now exposed at a much more strategic level e.g. through business intelligence systems, increasing manifold the stakes involved for individuals, corporations as well as government agencies. There, the lack of knowledge about data accuracy, currency or completeness can have erroneous and even catastrophic results. With these changes, traditional approaches to data management in general, and data quality control specifically, are challenged. There is an evident need to incorporate data quality considerations into the whole data cycle, encompassing managerial/governance as well as technical aspects. Data quality experts from research and industry agree that a unified framework for data quality management should bring together organizational, architectural and computational approaches. Accordingly, Sadiq structured this handbook in four parts: Part I is on organizational solutions, i.e. the development of data quality objectives for the organization, and the development of strategies to establish roles, processes, policies, and standards required to manage and ensure data quality. Part II, on architectural solutions, covers the technology landscape required to deploy developed data quality management processes, standards and policies. Part III, on computational solutions, presents effective and efficient tools and techniques related to record linkage, lineage and provenance, data uncertainty, and advanced integrity constraints. Finally, Part IV is devoted to case studies of successful data quality initiatives that highlight the various aspects of data quality in action. The individual chapters present both an overview of the respective topic in terms of historical research and/or practice and state of the art, as well as specific techniques, methodologies and frameworks developed by the individual contributors. Researchers and students of computer science, information systems, or business management as well as data professionals and practitioners will benefit most from this handbook by not only focusing on the various sections relevant to their research area or particular practical work, but by also studying chapters that they may initially consider not to be directly relevant to them, as there they will learn about new perspectives and approaches.
Data Governance plays a crucial role in turning master data into managed master
data. ... One of the prime concerns with Master Data Governance is data quality—
this is one of the foundations of trust in the master data management system. ... Data Quality—The Accuracy Dimension. San Mateo, CA: Morgan Kaufmann.
Author: Allen Dreibelbis
Publisher: Pearson Education
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
It shows how to do all this as part of a standardized archival process that requires modest contributions from team members throughout an organization, rather than the superhuman effort of a dedicated team. * Exhaustively considers the ...
Author: Jack E. Olson
Publisher: Morgan Kaufmann
With the amount of data a business accumulates now doubling every 12 to 18 months, IT professionals need to know how to develop a system for archiving important database data, in a way that both satisfies regulatory requirements and is durable and secure. This important and timely new book explains how to solve these challenges without compromising the operation of current systems. It shows how to do all this as part of a standardized archival process that requires modest contributions from team members throughout an organization, rather than the superhuman effort of a dedicated team. * Exhaustively considers the diverse set of issues—legal, technological, and financial—affecting organizations faced with major database archiving requirements. * Shows how to design and implement a database archival process that is integral to existing procedures and systems. * Explores the role of players at every level of the organization—in terms of the skills they need and the contributions they can make. * Presents its ideas from a vendor-neutral perspective that can benefit any organization, regardless of its current technological investments. * Provides detailed information on building the business case for all types of archiving projects
ItAIS: The Italian Association for Information Systems Marco De Marco, Dov Te'
eni, Valentina Albano, Stefano Za. 8. Davenport Hughes, C. ... 9. Duran, E. (2009)
. Customer data management: the impacts of poor customer data quality on
customer relationship management and organizations. ... Olson, J. E. (2003). Data quality : the accuracy dimension. San Francisco, Calif.; London: Morgan Kaufmann.
Author: Marco De Marco
Publisher: Springer Science & Business Media
Category: Business & Economics
This book examines a wide range of issues that characterize the current IT based innovation trends in organizations. It contains a collection of research papers focusing on themes of growing interest in the field of Information Systems, Organization Studies, Management, Accounting and Engineering. The book offers a multidisciplinary view on Information Systems with the aim of disseminating academic knowledge. It would be particularly relevant to IT practitioners such as information systems managers and IT consultants. The 12 sections cover a broad spectrum of topics including: eServices in Public and Private Sectors; Organizational Change and the Impact of ICT in Public and Private Sectors; Information and Knowledge Management; Human-Computer Interaction; Information Systems, Innovation Transfer, and New Business Models; Business Intelligence Systems, their Strategic Role and Organizational Impacts; New Ways to Work and Interact with the Internet; IS, IT and Security; Blending Design and Behavioral Research in Information Systems; Professional Skills, Certification of Curricula, Online Education and Communities; IS Design, IS Development, Metrics and Compliance; ICT4LAW: Information and communication technologies to help firms, public administrations, legislators and citizens to operate in a highly regulated world. The content of each section is based on a selection of original double-blind peer reviewed contributions.
Handbook of Financial Data and Risk Information II: Volume 2: Software and Data. Cambridge University ... Data Quality—The Accuracy Dimension. Morgan Kaufmann, San Francisco. Redman, T.C., 2008. Data Driven. Harvard Business ...
Author: Martijn Groot
Publisher: Academic Press
Category: Technology & Engineering
A Primer in Financial Data Management describes concepts and methods, considering financial data management, not as a technological challenge, but as a key asset that underpins effective business management. This broad survey of data management in financial services discusses the data and process needs from the business user, client and regulatory perspectives. Its non-technical descriptions and insights can be used by readers with diverse interests across the financial services industry. The need has never been greater for skills, systems, and methodologies to manage information in financial markets. The volume of data, the diversity of sources, and the power of the tools to process it massively increased. Demands from business, customers, and regulators on transparency, safety, and above all, timely availability of high quality information for decision-making and reporting have grown in tandem, making this book a must read for those working in, or interested in, financial management. Focuses on ways information management can fuel financial institutions’ processes, including regulatory reporting, trade lifecycle management, and customer interaction Covers recent regulatory and technological developments and their implications for optimal financial information management Views data management from a supply chain perspective and discusses challenges and opportunities, including big data technologies and regulatory scrutiny
Data Quality : The Accuracy Dimension . San Francisco : Morgan Kaufmann .
Oman , R . , and T . Ayers . 1988 . “ Improving Data Quality . ” Journal of Systems Management 39 ( 5 ) ( May ) : 31 – 35 . Orr , K . 1998 . “ Data Quality and Systems
Author: Yang W. Lee
Publisher: Mit Press
All organizations today confront data quality problems, both systemic and structural. Neither ad hoc approaches nor fixes at the systems level—installing the latest software or developing an expensive data warehouse—solve the basic problem of bad data quality practices. Journey to Data Quality offers a roadmap that can be used by practitioners, executives, and students for planning and implementing a viable data and information quality management program. This practical guide, based on rigorous research and informed by real-world examples, describes the challenges of data management and provides the principles, strategies, tools, and techniques necessary to meet them. The authors, all leaders in the data quality field for many years, discuss how to make the economic case for data quality and the importance of getting an organization's leaders on board. They outline different approaches for assessing data, both subjectively (by users) and objectively (using sampling and other techniques). They describe real problems and solutions, including efforts to find the root causes of data quality problems at a healthcare organization and data quality initiatives taken by a large teaching hospital. They address setting company policy on data quality and, finally, they consider future challenges on the journey to data quality.
Loshin , D . , “ Issues and Opportunities in Data Quality Management
Coordination , " DM Review , April 2004 . Loveman , G . ... Markus , M . L . , et al . ,
“ A Design Theory for Systems that Support Emergent Knowledge Processes , ”
MIS Quarterly , September 2002 . Merrill Lynch , 1998 . ... Olson , J . E . , Data Quality : The Accuracy Dimension . San Francisco : Morgan Kaufman , 2003 .
Park , Y . T .
Author: Efraim Turban
Publisher: John Wiley & Sons Incorporated
IT's Going Global... From Shanghai to San Francisco, IT is playing an increasingly vital role in helping organizations gain the competitive advantage around the globe. That's why the Fifth Edition of "Information Technology for Management" offers a global perspective on how IT is transforming business. In this comprehensive, up-to-date Fifth Edition, Efraim Turban, Ephraim McLean, James Wetherbe, and new coauthor Dorothy Leidner present late-breaking developments in the field, as well as a new chapter on Global Interorganizational Systems. IT's About Transformation: The text focuses on how organizations operate and compete in the digital economy, and how IT can assist this transformation. The new edition also features increased strategy coverage. IT's Current: The Fifth Edition introduces new research, current examples and case studies, and updated reference materials. IT's Managerial: The text's strong managerial orientation makes IT relevant and interesting to business students. Technological topics are conveniently covered in six technology guides at the end of the text. IT's Wireless: A special chapter covers innovations and opportunities in mobile computing and the wireless revolution. IT's Hands-on: Students solve realistic IT problems when they are "hired" as interns at The Wireless Cafe, a simulated high-tech restaurant in Shanghai.
Butler Group ( 2004 ) Data Quality and Integrity : Essential Steps for Exploiting
Business Information . Butler Direct Limited ... Central Computer and
Telecommunications Agency ( 1994b ) Data Management . HMSO , London . ...
Date , C . J . ( 2003 ) An Introduction to Database Systems , 8th Edition . ... Olson ,
J . E . ( 2003 ) Data Quality : The Accuracy Dimension . Morgan Kaufman , San
Francisco , CA .
Author: Keith Gordon
Publisher: BCS, The Chartered Institute
Organisations increasingly view data as a valuable corporate asset and its effective management can be vital to an organisation's success. This professional reference guide covers all the key areas including database development, data quality and corporate data modelling. It is not based on a particular proprietary system; it is business focused, providing the knowledge and techniques required to successfully implement the data management function.
Management Information Systems. View from the Client,” Management Science (
48:4), April 2002, pp. 484-498. Knight ... Olson, J. E. Data Quality: The Accuracy Dimension, Morgan Kaufmann Publishers, San Francisco, CA, 2003. Orlikowski ...
Collecting Root Cause to Improve Coding Quality Measurement ( cont . ) ... Data Quality : The Accuracy Dimension . San Francisco , CA : Morgan Kaufman
Publishers , 2003 O ' Malley , Kimberly J . , et al . ... Statistical Applications for
Health Infor - mation Management . ... Sue Malone , MA , MBA , RHIA , FAHIMA
This work is sponsored in part by a grant to FORE from 3M Health Information Systems .
Electronic Meeting Systems to Support Group Work : Theory and Practice at
Arizona . ” Communications of the ... A Toolkit Approach to Developing Forest Management Advisory Systems in Prolog . ” Al Applications , Vol . ... Data Quality
: The Accurate Dimension . San Francisco : Morgan Kaufman Publishers . Olson ,
J . E ...
Author: Efraim Turban
Publisher: Prentice Hall
Appropriate for all courses in Decision Support Systems (DSS), computerized decision making tools, and management support systems. Todays networked computer systems enable executives to use information in radically new ways, to make dramatically more effective decisions -- and make those decisions more rapidly. Decision Support Systems and Intelligent Systems, Seventh Edition is a comprehensive, up-to-date guide to todays revolutionary management support system technologies, and how they can be used for better decision making. In this thoroughly revised edition, the authors go far beyond traditional "decision support systems," focusing far more coverage on Web-enabled tools, performance analysis, knowledge management, and other recent innovations. The authors introduce each significant new technology, show how it works, and offer practical guidance on integrating it into real-world organizations. Examples, products, services, and exercises are presented throughout, and the text has been revised for improved clarity and readability. New and enhanced coverage includes: state-of-the-art data mining, OLAP, expert system, and neural network software; revamped coverage of knowledge management; and a far greater emphasis on the use of Web technologies throughout. Also covered in detail: data warehousing, including access, analysis, visualization, modeling, and support. This edition also contains DSS In Action boxes presenting real business scenarios for the use of advanced management support technology. Decision Support Systems and Intelligent Systems, Seventh Edition is supported by a Web site containing additional readings, relevant links, and other supplements.
First, it provides a methodology for data quality requirements collection and
documentation. Second ... An evaluation scheme for database management systems that are claimed to be relational. The Second ... San Mateo, CA : Morgan Kaufman Publisher.  Wang, Y. R. ... Dimensions of Data Quality: Beyond Accuracy.
Publisher: IEEE Computer Society
Proceedings of the conference held in Vienna, Austria, April 1993. Papers present current research activities as well as ideas for future directions in data engineering, knowledge engineering, and the synergy of the two. No index. Annotation copyright by Book News, Inc., Portland, OR.
This book is designed to enable the reader to design and run a neural network-based project.
Author: Kevin Swingler
Publisher: Morgan Kaufmann
This book is designed to enable the reader to design and run a neural network-based project. It presents everything the reader will need to know to ensure the success of such a project. The book contains a free disk with C and C++ programs, which implement many of the techniques discussed in the book.
Author: American Association for Artificial IntelligencePublish On: 2002
However , in static sampling we have to know a lot in advance , if results of
guaranteed quality are desired . ... In this paper we have studied combining data
dependent Rademacher generalization error bound approximation with
straightforward geometric sampling schedules . ... observed , in practice , to be
competitive in their prediction accuracy with the more complex decision trees
produced by C4.5 . ... Morgan Kaufmann . ... In Advances in Neural Information Processing Systems 6 ...
Author: American Association for Artificial Intelligence
Publisher: Menlo Park, Calif. : AAAI Press ; MIT Press
The annual AAAI National Conference provides a forum for information exchange and interaction among researchers from all disciplines of AI. Contributions include theoretical, experimental and empirical results. Topics cover principles of cognition, perception and action; the design, application and evaluation of AI algorithms and systems; architectures and frameworks for classses of AI systems; and analyses of tasks and domains in which intelligent systems perform. The Innovative Applications Conference highlights successful application of AI technology and explores issues, methods and lessons learned in the development and deployment of AI applications.
The data are uniformly distributed on the nodes of a “ nodegroup " ( i . e . subset
of nodes of the system ) according to a partitioning key ... Indeed , the quality of
an optimization process depends strongly on the accuracy of the cost estimations
( 12 ) and of the ... The relational query optimization in a parallel environment is
even more difficult and more critical because of the consideration of the
parallelism dimension ... Of 21th Intl . Conf . on VLDB , ( Morgan Kaufmann , CA ,
1995 ) , pp .
Author: International Fuzzy Systems AssociationPublish On: 2001
Proceedings : July 25-28, 2001, Vancouver, British Columbia, Canada
International Fuzzy Systems Association Michael ... the measurement of the
cluster density between clusters ; a smaller value corresponds to good quality of
the clusters . ... Watson , Applying Case - Based Reasoning : Techniques for
Enterprise Systems , Morgan Kaufmann Publishers , Inc . , 1997 . ... ( 8 ) S . S .
Anand , D . Patterson , J . G . Hughes , and D . A . Bell , “ Discovering Case
Knowledge using Data Mining ...
Comparison of time - accuracy performances of Clustering and VA + - file on
Landsat data Session 14 OLAP Rewriting OLAP ... In Proceedings of the 9th ACM
Int . Conf . on Information and Knowledge Management , pages 219 – 226 ,
McLean , Virginia ... Similarity scarching in high dimensions via hashing . ...
Principles of Multimedia Database Systems . Morgan Kaufmann Publishers , Inc .
, San Francisco , California , 1999 . ... Trading quality for time with
nearestneighbor search .
The proceedings of the April 2001 conference emphasize the engineering aspects of data management, but also consider data engineering in a wider sense that encompasses middleware, distributed systems and workflow. The 54 research papers are organized in 17 sessions that include temporal databases, data mining from patterns, time series, XML, nearest neighbor queries, and OLAP. Some of the topics are a temporal algebra for an ER-based temporal data model, workflow and process synchronization with interaction expressions and graphs, model-based mediation with domain maps, B-tree indexes and CPU caches, the Skyline operator, and counting twig matches in a tree. In addition, there are 20 industry papers that focus on e-commerce, data warehousing, and mobility. No subject index. c. Book News Inc.