Data Quality For Decision Makers
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Data Quality For Decision Makers
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Author : Guilherme Morbey
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-04-05
Data Quality For Decision Makers written by Guilherme Morbey and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-05 with Business & Economics categories.
Currently many companies are confronted with the decision how to deal with the new data quality requirements of the regulatory authorities. Future data quality statements for enterprise key figures and their origins are being demanded. Applying methods of a data quality management system can produce these statements best. Guilherme Morbey explains the introduction of such a system in the form of a dialogue.
Data Quality And Its Impacts On Decision Making
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Author : Christoph Samitsch
language : en
Publisher: Springer
Release Date : 2014-12-01
Data Quality And Its Impacts On Decision Making written by Christoph Samitsch and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-01 with Business & Economics categories.
Christoph Samitsch investigates whether decision-making efficiency is being influenced by the quality of data and information. Results of the research provide evidence that defined data quality dimensions have an effect on decision-making performance as well as the time it takes to make a decision.
The Impact Of Data Quality Metadata On Decision Making
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Author : Yu Cai
language : en
Publisher:
Release Date : 2007
The Impact Of Data Quality Metadata On Decision Making written by Yu Cai and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with categories.
Abstract: The quality of the data used in a decision process has a direct impact on the quality of the decisions. Unfortunately, data quality (DQ) issues are inherent in information systems. Quality metadata is data that describes the quality of the data. It can inform decision makers about the quality of the data used in the decision process and can potentially enhance decision performance. While research has shown that quality metadata can change decision outcomes, it has not shown whether it improves decision performance. This dissertation first investigates whether and how DQ metadata improves decision performance in structured decision environments. When the DQ metadata is available, integrating it into the decision process requires allocating extra information processing capacity to it. This may impact overall decision performance differently, subject to other factors like task complexity and decision makers' experience. Using a set of experiments, we explore those important relationships. The findings support our general proposition that when there is sufficient amount of cognitive capacity available, the provision of DQ metadata will improve the overall quality of decision-making. However, when the complexity of the decision task increases, thereby reducing the cognitive capacity that the decision-maker has to spare, the provision of DQ metadata can negatively affect decision performance. This research further investigates the use of data visualization to reduce this cognitive load. Building upon the findings from the first part, we develop a prototype decision support system that utilizes visualization to reduce the cognitive effort in integrating quality metadata into the decision process. Using an experimental setup, we assess the impact of data visualization on decision performance using a common type of decision task, structured choice. The results confirm the benefits of visualization for integrating DQ metadata into the decision process. This research has important implications for decision-making, data management and decision support systems. The findings can help (a) identify the conditions under which the provision of DQ metadata is beneficial for decision making, (b) justify the need of including DQ metadata in data management, and (c) shed light on designing decision support systems that integrate DQ metadata for effective decision-making.
The Best Thinking In Business Analytics From The Decision Sciences Institute
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Author : Decision Sciences Institute
language : en
Publisher: FT Press
Release Date : 2015-08-18
The Best Thinking In Business Analytics From The Decision Sciences Institute written by Decision Sciences Institute and has been published by FT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-08-18 with Business & Economics categories.
Today, business success depends on making great decisions – and making them fast. Leading organizations apply sophisticated business analytics tools and technologies to evaluate vast amounts of data, glean new insights, and increase both the speed and quality of decision making. In The Best Thinking and Practices in Business Analytics from the Decision Sciences Institute, DSI has compiled award-winning and award-nominated contributions from its most recent conferences: papers that illuminate exceptionally high-value applications and research on analytics for decision-making. These papers have appeared in no other DSI collection. Explore them here, and you’ll discover powerful new opportunities for competitive advantage through analytics. For all business, academic, and organizational professionals concerned with the science of more effective decision-making; and for undergraduate students, graduate students, and certification candidates in all related fields.
A Method To Classify Data Quality For Decision Making Under Uncertainty
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Author : Vanessa Simard
language : en
Publisher:
Release Date : 2022
A Method To Classify Data Quality For Decision Making Under Uncertainty written by Vanessa Simard and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.
The Real Work Of Data Science
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Author : Ron S. Kenett
language : en
Publisher: John Wiley & Sons
Release Date : 2019-03-26
The Real Work Of Data Science written by Ron S. Kenett 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 2019-03-26 with Science categories.
The essential guide for data scientists and for leaders who must get more from their data science teams The Economist boldly claims that data are now "the world's most valuable resource." But, as Kenett and Redman so richly describe, unlocking that value requires far more than technical excellence. The Real Work of Data Science explores understanding the problems, dealing with quality issues, building trust with decision makers, putting data science teams in the right organizational spots, and helping companies become data-driven. This is the work that spells the difference between a good data scientist and a great one, between a team that makes marginal contributions and one that drives the business, between a company that gains some value from its data and one in which data truly is "the most valuable resource." "These two authors are world-class experts on analytics, data management, and data quality; they've forgotten more about these topics than most of us will ever know. Their book is pragmatic, understandable, and focused on what really counts. If you want to do data science in any capacity, you need to read it." —Thomas H. Davenport, Distinguished Professor, Babson College and Fellow, MIT Initiative on the Digital Economy "I like your book. The chapters address problems that have faced statisticians for generations, updated to reflect today's issues, such as computational Big Data." —Sir David Cox, Warden of Nuffield College and Professor of Statistics, Oxford University "Data science is critical for competitiveness, for good government, for correct decisions. But what is data science? Kenett and Redman give, by far, the best introduction to the subject I have seen anywhere. They address the critical questions of formulating the right problem, collecting the right data, doing the right analyses, making the right decisions, and measuring the actual impact of the decisions. This book should become required reading in statistics and computer science departments, business schools, analytics institutes and, most importantly, by all business managers." —A. Blanton Godfrey, Joseph D. Moore Distinguished University Professor, Wilson College of Textiles, North Carolina State University
Data Driven Decision Making Using Analytics
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Author : Parul Gandhi
language : en
Publisher: CRC Press
Release Date : 2021-12-21
Data Driven Decision Making Using Analytics written by Parul Gandhi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-21 with Computers categories.
This book aims to explain Data Analytics towards decision making in terms of models and algorithms, theoretical concepts, applications, experiments in relevant domains or focused on specific issues. It explores the concepts of database technology, machine learning, knowledge-based system, high performance computing, information retrieval, finding patterns hidden in large datasets and data visualization. Also, it presents various paradigms including pattern mining, clustering, classification, and data analysis. Overall aim is to provide technical solutions in the field of data analytics and data mining. Features: Covers descriptive statistics with respect to predictive analytics and business analytics. Discusses different data analytics platforms for real-time applications. Explain SMART business models. Includes algorithms in data sciences alongwith automated methods and models. Explores varied challenges encountered by researchers and businesses in the realm of real-time analytics. This book aims at researchers and graduate students in data analytics, data sciences, data mining, and signal processing.
Data Quality
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Author : Thomas C. Redman
language : en
Publisher: Digital Press
Release Date : 2001
Data Quality written by Thomas C. Redman and has been published by Digital Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Computers categories.
Can any subject inspire less excitement than "data quality"? Yet a moment's thought reveals the ever-growing importance of quality data. From restated corporate earnings, to incorrect prices on the web, to the bombing of the Chinese Embassy, the media reports the impact of poor data quality on a daily basis. Every business operation creates or consumes huge quantities of data. If the data are wrong, time, money, and reputation are lost. In today's environment, every leader, every decision maker, every operational manager, every consumer, indeed everyone has a vested interest in data quality. Data Quality: The Field Guide provides the practical guidance needed to start and advance a data quality program. It motivates interest in data quality, describes the most important data quality problems facing the typical organization, and outlines what an organization must do to improve. It consists of 36 short chapters in an easy-to-use field guide format. Each chapter describes a single issue and how to address it. The book begins with sections that describe why leaders, whether CIOs, CFOs, or CEOs, should be concerned with data quality. It explains the pros and cons of approaches for addressing the issue. It explains what those organizations with the best data do. And it lays bare the social issues that prevent organizations from making headway. "Field tips" at the end of each chapter summarize the most important points. Allows readers to go directly to the topic of interest Provides web-based material so readers can cut and paste figures and tables into documents within their organizations Gives step-by-step instructions for applying most techniques and summarizes what "works"
From Data To Decisions
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Author : Raissa Gomez
language : en
Publisher: Zee Publishing
Release Date : 2024-05-21
From Data To Decisions written by Raissa Gomez and has been published by Zee Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-21 with Computers categories.
From Data to Decisions: Your Friendly Guide to Understanding Modern Decision Intelligence by Raissa Gomez Feeling overwhelmed by the buzz around "data-driven decisions" and "artificial intelligence"? Don't worry, you're not alone! "From Data to Decisions" is your friendly, jargon-free introduction to the exciting world of Decision Intelligence (DI). No prior experience required! Inside, you'll discover: DI Basics Made Easy: We'll break down the core concepts of DI in simple terms, explaining why it's so important for today's businesses. Real-World Examples, Not Just Theory: Learn how everyday decisions – from choosing a new product to planning a marketing campaign – can be improved with DI. A Roadmap to Getting Started: We'll show you the first steps to take on your DI journey, even if you're starting from scratch. The Future of Decision-Making: Get a sneak peek into how DI is changing the way we work and live. Whether you're a curious student, a business owner, or simply someone who wants to make better decisions, "From Data to Decisions" will give you the confidence and knowledge to embrace this powerful tool. Ready to unlock the secrets of smarter decision-making? Grab your copy of "From Data to Decisions" today and start your DI adventure!
Implementation And Benefits Of Digital Twin On Decision Making And Data Quality Management
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Author : Florian Blaschke
language : en
Publisher: Springer Nature
Release Date :
Implementation And Benefits Of Digital Twin On Decision Making And Data Quality Management written by Florian Blaschke and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.