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The Data Asset

How Smart Companies Govern Their Data for Business Success

Author: Tony Fisher

Publisher: John Wiley & Sons

ISBN:

Category: Business & Economics

Page: 240

View: 201

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

How Smart Companies Govern Their Data for Business Success

Author: Anthony Fisher

Publisher:

ISBN:

Category: Business intelligence

Page: 220

View: 322

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

Achieving True Customer MDM

Author: Dalton Cervo

Publisher: John Wiley & Sons

ISBN:

Category: Business & Economics

Page: 272

View: 800

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.

The Data Industry

The Business and Economics of Information and Big Data

Author: Chunlei Tang

Publisher: John Wiley & Sons

ISBN:

Category: Mathematics

Page: 216

View: 112

Provides an introduction of the data industry to the field of economics This book bridges the gap between economics and data science to help data scientists understand the economics of big data, and enable economists to analyze the data industry. It begins by explaining data resources and introduces the data asset. This book defines a data industry chain, enumerates data enterprises’ business models versus operating models, and proposes a mode of industrial development for the data industry. The author describes five types of enterprise agglomerations, and multiple industrial cluster effects. A discussion on the establishment and development of data industry related laws and regulations is provided. In addition, this book discusses several scenarios on how to convert data driving forces into productivity that can then serve society. This book is designed to serve as a reference and training guide for ata scientists, data-oriented managers and executives, entrepreneurs, scholars, and government employees. Defines and develops the concept of a “Data Industry,” and explains the economics of data to data scientists and statisticians Includes numerous case studies and examples from a variety of industries and disciplines Serves as a useful guide for practitioners and entrepreneurs in the business of data technology The Data Industry: The Business and Economics of Information and Big Data is a resource for practitioners in the data science industry, government, and students in economics, business, and statistics. CHUNLEI TANG, Ph.D., is a research fellow at Harvard University. She is the co-founder of Fudan’s Institute for Data Industry and proposed the concept of the “data industry”. She received a Ph.D. in Computer and Software Theory in 2012 and a Master of Software Engineering in 2006 from Fudan University, Shanghai, China.

Handbook of Data Quality

Research and Practice

Author: Shazia Sadiq

Publisher: Springer Science & Business Media

ISBN:

Category: Computers

Page: 438

View: 815

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

Advanced MDM and Data Governance in Practice

Author: Mark Allen

Publisher: Morgan Kaufmann

ISBN:

Category: Computers

Page: 244

View: 278

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

Using Technology to Combat Losses

Author: Revathi Subramanian

Publisher: John Wiley & Sons

ISBN:

Category: Business & Economics

Page: 192

View: 226

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

Exposing Myths, Eliminating Bad Practices, Providing Practical Solutions

Author: Michael Gilliland

Publisher: John Wiley & Sons

ISBN:

Category: Business & Economics

Page: 224

View: 954

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

Publisher: McGraw Hill Professional

ISBN:

Category: Business & Economics

Page: 384

View: 457

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.

The British National Bibliography

Author: Arthur James Wells

Publisher:

ISBN:

Category: English literature

Page:

View: 568

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