Competing With High Quality Data
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Competing With High Quality Data
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Author : Rajesh Jugulum
language : en
Publisher: John Wiley & Sons
Release Date : 2014-03-10
Competing With High Quality Data written by Rajesh Jugulum and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-03-10 with Business & Economics categories.
Create a competitive advantage with data quality Data is rapidly becoming the powerhouse of industry, but low-quality data can actually put a company at a disadvantage. To be used effectively, data must accurately reflect the real-world scenario it represents, and it must be in a form that is usable and accessible. Quality data involves asking the right questions, targeting the correct parameters, and having an effective internal management, organization, and access system. It must be relevant, complete, and correct, while falling in line with pervasive regulatory oversight programs. Competing with High Quality Data: Concepts, Tools and Techniques for Building a Successful Approach to Data Quality takes a holistic approach to improving data quality, from collection to usage. Author Rajesh Jugulum is globally-recognized as a major voice in the data quality arena, with high-level backgrounds in international corporate finance. In the book, Jugulum provides a roadmap to data quality innovation, covering topics such as: The four-phase approach to data quality control Methodology that produces data sets for different aspects of a business Streamlined data quality assessment and issue resolution A structured, systematic, disciplined approach to effective data gathering The book also contains real-world case studies to illustrate how companies across a broad range of sectors have employed data quality systems, whether or not they succeeded, and what lessons were learned. High-quality data increases value throughout the information supply chain, and the benefits extend to the client, employee, and shareholder. Competing with High Quality Data: Concepts, Tools and Techniques for Building a Successful Approach to Data Quality provides the information and guidance necessary to formulate and activate an effective data quality plan today.
Competing With High Quality Data
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Author : Rajesh Jugulum
language : en
Publisher: John Wiley & Sons
Release Date : 2014-03-10
Competing With High Quality Data written by Rajesh Jugulum and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-03-10 with Business & Economics categories.
Create a competitive advantage with data quality Data is rapidly becoming the powerhouse of industry, but low-quality data can actually put a company at a disadvantage. To be used effectively, data must accurately reflect the real-world scenario it represents, and it must be in a form that is usable and accessible. Quality data involves asking the right questions, targeting the correct parameters, and having an effective internal management, organization, and access system. It must be relevant, complete, and correct, while falling in line with pervasive regulatory oversight programs. Competing with High Quality Data: Concepts, Tools and Techniques for Building a Successful Approach to Data Quality takes a holistic approach to improving data quality, from collection to usage. Author Rajesh Jugulum is globally-recognized as a major voice in the data quality arena, with high-level backgrounds in international corporate finance. In the book, Jugulum provides a roadmap to data quality innovation, covering topics such as: The four-phase approach to data quality control Methodology that produces data sets for different aspects of a business Streamlined data quality assessment and issue resolution A structured, systematic, disciplined approach to effective data gathering The book also contains real-world case studies to illustrate how companies across a broad range of sectors have employed data quality systems, whether or not they succeeded, and what lessons were learned. High-quality data increases value throughout the information supply chain, and the benefits extend to the client, employee, and shareholder. Competing with High Quality Data: Concepts, Tools and Techniques for Building a Successful Approach to Data Quality provides the information and guidance necessary to formulate and activate an effective data quality plan today.
Competing With High Quality Data
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Author : Rajesh Jugulum
language : en
Publisher: CreateSpace
Release Date : 2014-10-05
Competing With High Quality Data written by Rajesh Jugulum and has been published by CreateSpace this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-10-05 with Computers categories.
Create a competitive advantage with data quality Data is rapidly becoming the powerhouse of industry, but low-quality data can actually put a company at a disadvantage. To be used effectively, data must accurately reflect the real-world scenario it represents, and it must be in a form that is usable and accessible. Quality data involves asking the right questions, targeting the correct parameters, and having an effective internal management, organization, and access system. It must be relevant, complete, and correct, while falling in line with pervasive regulatory oversight programs. Competing with High Quality Data: Concepts, Tools and Techniques for Building a Successful Approach to Data Quality takes a holistic approach to improving data quality, from collection to usage. Author Rajesh Jugulum is globally-recognized as a major voice in the data quality arena, with high-level backgrounds in international corporate finance. In the book, Jugulum provides a roadmap to data quality innovation, covering topics such as: The four-phase approach to data quality control Methodology that produces data sets for different aspects of a business Streamlined data quality assessment and issue resolution A structured, systematic, disciplined approach to effective data gathering The book also contains real-world case studies to illustrate how companies across a broad range of sectors have employed data quality systems, whether or not they succeeded, and what lessons were learned. High-quality data increases value throughout the information supply chain, and the benefits extend to the client, employee, and shareholder. Competing with High Quality Data: Concepts, Tools and Techniques for Building a Successful Approach to Data Quality provides the information and guidance necessary to formulate and activate an effective data quality plan today.
Competing On Analytics
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Author : Thomas H. Davenport
language : en
Publisher: Harvard Business Press
Release Date : 2007-03-06
Competing On Analytics written by Thomas H. Davenport and has been published by Harvard Business Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-03-06 with Business & Economics categories.
You have more information at hand about your business environment than ever before. But are you using it to “out-think” your rivals? If not, you may be missing out on a potent competitive tool. In Competing on Analytics: The New Science of Winning, Thomas H. Davenport and Jeanne G. Harris argue that the frontier for using data to make decisions has shifted dramatically. Certain high-performing enterprises are now building their competitive strategies around data-driven insights that in turn generate impressive business results. Their secret weapon? Analytics: sophisticated quantitative and statistical analysis and predictive modeling. Exemplars of analytics are using new tools to identify their most profitable customers and offer them the right price, to accelerate product innovation, to optimize supply chains, and to identify the true drivers of financial performance. A wealth of examples—from organizations as diverse as Amazon, Barclay’s, Capital One, Harrah’s, Procter & Gamble, Wachovia, and the Boston Red Sox—illuminate how to leverage the power of analytics.
Encyclopedia Of Decision Making And Decision Support Technologies
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Author : Adam, Frederic
language : en
Publisher: IGI Global
Release Date : 2008-04-30
Encyclopedia Of Decision Making And Decision Support Technologies written by Adam, Frederic and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-04-30 with Computers categories.
As effective organizational decision making is a major factor in a company's success, a comprehensive account of current available research on the core concepts of the decision support agenda is in high demand by academicians and professionals. Through 110 authoritative contributions by over 160 of the world's leading experts the Encyclopedia of Decision Making and Decision Support Technologies presents a critical mass of research on the most up-to-date research on human and computer support of managerial decision making, including discussion on support of operational, tactical, and strategic decisions, human vs. computer system support structure, individual and group decision making, and multi-criteria decision making.
Eu Competition Law Data Protection And Online Platforms Data As Essential Facility
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Author : Inge Graef
language : en
Publisher: Kluwer Law International B.V.
Release Date : 2016-10-17
Eu Competition Law Data Protection And Online Platforms Data As Essential Facility written by Inge Graef and has been published by Kluwer Law International B.V. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-17 with Law categories.
All are agreed that the digital economy contributes to a dynamic evolution of markets and competition. Nonetheless, concerns are increasingly raised about the market dominance of a few key players. Because these companies hold the power to drive rivals out of business, regulators have begun to seek scope for competition enforcement in cases where companies claim that withholding data is needed to satisfy customers and cut costs. This book is the first focus on how competition law enforcement tools can be applied to refusals of dominant firms to give access data on online platforms such as search engines, social networks, and e-commerce platforms – commonly referred to as the ‘gatekeepers’ of the Internet. The question arises whether the denial of a dominant firm to grant competitors access to its data could constitute a ‘refusal to deal’ and lead to competition law liability under the so-called ‘essential facilities doctrine', according to which firms need access to shared knowledge in order to be able to compete. A possible duty to share data with rivals also brings to the forefront the interaction of competition law with data protection legislation considering that the required information may include personal data of individuals. Building on the refusal to deal concept, and using a multidisciplinary approach, the analysis covers such issues and topics as the following: – data portability; – interoperability; – data as a competitive advantage or entry barrier in digital markets; – market definition and dominance with respect to data; – disruptive versus sustaining innovation; – role of intellectual property regimes; – economic trade-off in essential facilities cases; – relationship of competition enforcement with data protection law and – data-related competition concerns in merger cases. The author draws on a wealth of relevant material, including EU and US decision-making practice, case law, and policy documents, as well as economic and empirical literature on the link between competition and innovation. The book concludes with a proposed framework for the application of the essential facilities doctrine to potential forms of abuse of dominance relating to data. In addition, it makes suggestions as to how data protection interests can be integrated into competition policy. An invaluable contribution to ongoing academic and policy discussions about how data-related competition concerns should be addressed under competition law, the analysis clearly demonstrates how existing competition tools for market definition and assessment of dominance can be applied to online platforms. It will be of immeasurable value to the many jurists, business persons, and academics concerned with this very timely subject.
Quality In The 21st Century
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Author : Paulo Sampaio
language : en
Publisher: Springer
Release Date : 2016-04-16
Quality In The 21st Century written by Paulo Sampaio and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-16 with Technology & Engineering categories.
This book is a compilation of perspectives provided by several winners of the ASQ Feigenbaum Medal, which is awarded each year to an individual under the age of 35 who has made a significant contribution to the field of Quality. As such, it serves as a valuable reference book in this area. It is primarily based on the medalists’ vision to "refresh" and "re-think" the quality concepts that have been used over the past century and the future development of the topic. Maximizing readers’ understanding of the ways in which Quality is created, it provides insights from pioneers in this field from around the globe and anticipates how and what Quality will be in the future, as well as how people and organizations can benefit from it today.
Common Data Sense For Professionals
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Author : Rajesh Jugulum
language : en
Publisher: CRC Press
Release Date : 2022-01-27
Common Data Sense For Professionals written by Rajesh Jugulum and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-27 with Business & Economics categories.
Data is an intrinsic part of our daily lives. Everything we do is a data point. Many of these data points are recorded with the intent to help us lead more efficient lives. We have apps that track our workouts, sleep, food intake, and personal finance. We use the data to make changes to our lives based on goals we have set for ourselves. Businesses use vast collections of data to determine strategy and marketing. Data scientists take data, analyze it, and create models to help solve problems. You may have heard of companies having data management teams or chief information officers (CIOs) or chief data officers (CDOs), etc. They are all people who work with data, but their function is more related to vetting data and preparing it for use by data scientists. The jump from personal data usage for self-betterment to mass data analysis for business process improvement often feels bigger to us than it is. In turn, we often think big data analysis requires tools held only by advanced degree holders. Although advanced degrees are certainly valuable, this book illustrates how it is not a requirement to adequately run a data science project. Because we are all already data users, with some simple strategies and exposure to basic analytical software programs, anyone who has the proper tools and determination can solve data science problems. The process presented in this book will help empower individuals to work on and solve data-related challenges. The goal of this book is to provide a step-by-step guide to the data science process so that you can feel confident in leading your own data science project. To aid with clarity and understanding, the author presents a fictional restaurant chain to use as a case study, illustrating how the various topics discussed can be applied. Essentially, this book helps traditional businesspeople solve data-related problems on their own without any hesitation or fear. The powerful methods are presented in the form of conversations, examples, and case studies. The conversational style is engaging and provides clarity.
Towards Sustainable Urban Development Use Of Geographic Big Data For Spatial Planning
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Author : Ying Jing
language : en
Publisher: Frontiers Media SA
Release Date : 2023-06-01
Towards Sustainable Urban Development Use Of Geographic Big Data For Spatial Planning written by Ying Jing and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-01 with Science categories.