the data asset how smart companies govern their data for business success

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The Data Asset

Author : Tony Fisher
ISBN : 0470508027
Genre : Business & Economics
File Size : 64. 8 MB
Format : PDF, Docs
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An indispensable guide that shows companies how to treat data as a strategic asset Organizations set their business strategy and direction based on information that is available to executives. The Data Asset provides guidance for not only building the business case for data quality and data governance, but also for developing methodologies and processes that will enable your organization to better treat its data as a strategic asset. Part of Wiley's SAS Business Series, this book looks at Business Case Building; Maturity Model and Organization Capabilities; 7-Step Programmatic Approach for Success; and Technologies Required for Effective Data Quality and Data Governance and, within these areas, covers Risk mitigation Cost control Revenue optimization Undisciplined and reactive organizations Proactive organizations Analysis, improvement, and control technology Whether you're a business manager or an IT professional, The Data Asset reveals the methodology and technology needed to approach successful data quality and data governance initiatives on an enterprise scale.

The Data Asset

Author : Anthony Fisher
ISBN : 1119204283
Genre : Business intelligence
File Size : 85. 71 MB
Format : PDF, ePub
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An indispensable guide that shows companies how to treat data as a strategic assetOrganizations set their business strategy and direction based on information that is available to executives. The Data Asset provides guidance for not only building the business case for data quality and data governance, but also for developing methodologies and processes that will enable your organization to better treat its data as a strategic asset. Part of Wiley's SAS Business Series, this book looks at Business Case Building; Maturity Model and Organization Capabilities; 7-Step Programmatic Approach for Succe.

Master Data Management In Practice

Author : Dalton Cervo
ISBN : 9781118085684
Genre : Business & Economics
File Size : 53. 68 MB
Format : PDF, ePub
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In this book, authors Dalton Cervo and Mark Allen show you how to implement Master Data Management (MDM) within your business model to create a more quality controlled approach. Focusing on techniques that can improve data quality management, lower data maintenance costs, reduce corporate and compliance risks, and drive increased efficiency in customer data management practices, the book will guide you in successfully managing and maintaining your customer master data. You'll find the expert guidance you need, complete with tables, graphs, and charts, in planning, implementing, and managing MDM.

Big Data Analytics

Author : Frank Ohlhorst
ISBN : 9781118147597
Genre : Business & Economics
File Size : 65. 68 MB
Format : PDF, ePub
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Takes an in-depth look at the financial value of big data analytics and offers tools and best practices for working with big data. Once the domain of large on-line retailers such as eBay and Amazon, big data is now accessible by businesses of all sizes and across industries.

Electronic Government And The Information Systems Perspective

Author : Andrea Kő
ISBN : 9783319101781
Genre : Computers
File Size : 37. 63 MB
Format : PDF, ePub, Mobi
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This book constitutes the refereed proceedings of the Third International Conference on Electronic Government and the Information Systems Perspective, EGOVIS 2014, held in Munich, Germany, in September 2014, in conjunction with DEXA 2014. The 23 revised full papers presented together with one invited talk were carefully reviewed and selected for inclusion in this volume. The papers are organized in the following topical sections: identity management in e-government; e-participation; intelligent systems in e-government; semantic technologies in e-government; e-government cases; open government data and G-cloud; and privacy and security in e-government.

Handbook Of Data Quality

Author : Shazia Sadiq
ISBN : 9783642362576
Genre : Computers
File Size : 48. 33 MB
Format : PDF
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The issue of data quality is as old as data itself. However, the proliferation of diverse, large-scale and often publically available data on the Web has increased the risk of poor data quality and misleading data interpretations. On the other hand, data is now exposed at a much more strategic level e.g. through business intelligence systems, increasing manifold the stakes involved for individuals, corporations as well as government agencies. There, the lack of knowledge about data accuracy, currency or completeness can have erroneous and even catastrophic results. With these changes, traditional approaches to data management in general, and data quality control specifically, are challenged. There is an evident need to incorporate data quality considerations into the whole data cycle, encompassing managerial/governance as well as technical aspects. Data quality experts from research and industry agree that a unified framework for data quality management should bring together organizational, architectural and computational approaches. Accordingly, Sadiq structured this handbook in four parts: Part I is on organizational solutions, i.e. the development of data quality objectives for the organization, and the development of strategies to establish roles, processes, policies, and standards required to manage and ensure data quality. Part II, on architectural solutions, covers the technology landscape required to deploy developed data quality management processes, standards and policies. Part III, on computational solutions, presents effective and efficient tools and techniques related to record linkage, lineage and provenance, data uncertainty, and advanced integrity constraints. Finally, Part IV is devoted to case studies of successful data quality initiatives that highlight the various aspects of data quality in action. The individual chapters present both an overview of the respective topic in terms of historical research and/or practice and state of the art, as well as specific techniques, methodologies and frameworks developed by the individual contributors. Researchers and students of computer science, information systems, or business management as well as data professionals and practitioners will benefit most from this handbook by not only focusing on the various sections relevant to their research area or particular practical work, but by also studying chapters that they may initially consider not to be directly relevant to them, as there they will learn about new perspectives and approaches.

Multi Domain Master Data Management

Author : Mark Allen
ISBN : 9780128011478
Genre : Computers
File Size : 65. 64 MB
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Multi-Domain Master Data Management delivers practical guidance and specific instruction to help guide planners and practitioners through the challenges of a multi-domain master data management (MDM) implementation. Authors Mark Allen and Dalton Cervo bring their expertise to you in the only reference you need to help your organization take master data management to the next level by incorporating it across multiple domains. Written in a business friendly style with sufficient program planning guidance, this book covers a comprehensive set of topics and advanced strategies centered on the key MDM disciplines of Data Governance, Data Stewardship, Data Quality Management, Metadata Management, and Data Integration. Provides a logical order toward planning, implementation, and ongoing management of multi-domain MDM from a program manager and data steward perspective. Provides detailed guidance, examples and illustrations for MDM practitioners to apply these insights to their strategies, plans, and processes. Covers advanced MDM strategy and instruction aimed at improving data quality management, lowering data maintenance costs, and reducing corporate risks by applying consistent enterprise-wide practices for the management and control of master data.

Bank Fraud

Author : Revathi Subramanian
ISBN : 9781118233979
Genre : Business & Economics
File Size : 24. 50 MB
Format : PDF, Kindle
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Learn how advances in technology can help curb bank fraud Fraud prevention specialists are grappling with ever-mountingquantities of data, but in today's volatile commercial environment,paying attention to that data is more important than ever. BankFraud provides a frank discussion of the attitudes, strategies,and—most importantly—the technology that specialistswill need to combat fraud. Fraudulent activity may have increased over the years, but sohas the field of data science and the results that can be achievedby applying the right principles, a necessary tool today forfinancial institutions to protect themselves and their clientele.This resource helps professionals in the financial servicesindustry make the most of data intelligence and uncovers theapplicable methods to strengthening defenses against fraudulentbehavior. This in-depth treatment of the topic begins with a briefhistory of fraud detection in banking and definitions of key terms,then discusses the benefits of technology, data sharing, andanalysis, along with other in-depth information, including: The challenges of fraud detection in a financial servicesenvironment The use of statistics, including effective ways to measurelosses per account and ROI by product/initiative The Ten Commandments for tackling fraud and ways to build aneffective model for fraud management Bank Fraud offers a compelling narrative that ultimatelyurges security and fraud prevention professionals to make the mostof the data they have so painstakingly gathered. Such professionalsshouldn't let their most important intellectualasset—data—go to waste. This book shows you just how toleverage data and the most up-to-date tools, technologies, andmethods to thwart fraud at every turn.

The Business Forecasting Deal

Author : Michael Gilliland
ISBN : 0470769653
Genre : Business & Economics
File Size : 23. 73 MB
Format : PDF, Docs
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Practical-nontechnical-solutions to the problems of business forecasting Written in a nontechnical style, this book provides practical solutions to common business forecasting problems, showing you how to think about business forecasting in the context of uncertainty, randomness and process performance. Addresses the philosophical foundations of forecasting Raises awareness of fundamental issues usually overlooked in pursuit of the perfect forecast Introduces a new way to think about business forecasting, focusing on process efficiency and the elimination of worst practices Provides practical approaches for the non-statistical problems forecasters face Illustrates Forecast Value Added (FVA) Analysis for identifying waste in the forecasting process Couched in the context of uncertainty, randomness, and process performance, this book offers new, innovative ideas for resolving your business forecasting problems.

The New Manager S Survival Guide Everything You Need To Know To Succeed In The Corporate World

Author : Steven Haines
ISBN : 9781259589768
Genre : Business & Economics
File Size : 23. 93 MB
Format : PDF, ePub, Docs
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Whether you’re an experienced employee in a first time managerial role or a complete business novice, this guide has everything you need to excel in your field Written in a style designed to help you grasp concepts quickly and effectively, The New Manager’s Survival Guide provides the information and tools you need to create a solid team, department, or company. It helps you advance your career by covering the nuts and bolts of managing a business, which is not often taught in business classes and which even experienced managers sometimes need to brush up on. You will learn the ins and outs of management, including understanding organizational design, building and utilizing teams, using data to make smart decisions, crafting strategy, creating product plans, and managing people up, down, or across organizational lines. In addition, the book provides new tools for supervisory managers who aren’t familiar with the important practice of coaching. Plus, a self-assessment instrument helps you determine your knowledge level beforehand, so you can skip the parts you have already mastered and/or focus more deeply on practices you need work on.

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