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The Real Work of Data Science: Turning data into information, better decisions, and stronger organizations, Ron S. Kenett, Thomas C. Redman


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Цена: 4586.00р.
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Автор: Ron S. Kenett, Thomas C. Redman
Название:  The Real Work of Data Science: Turning data into information, better decisions, and stronger organizations
ISBN: 9781119570707
Издательство: Wiley
Классификация:
ISBN-10: 1119570700
Обложка/Формат: Paperback
Страницы: 136
Вес: 0.25 кг.
Дата издания: 12.04.2019
Серия: Mathematics
Язык: English
Размер: 172 x 244 x 8
Читательская аудитория: Professional & vocational
Ключевые слова: Mathematics
Основная тема: Mathematics
Подзаголовок: How to turn data into information, better decisions, and stronger organizations
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание:

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 worlds 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; theyve 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 todays 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




The Knowing Organization: How Organizations Use Information to Construct Meaning, Create Knowledge and Make Decisions

Автор: Chun Wei Choo
Название: The Knowing Organization: How Organizations Use Information to Construct Meaning, Create Knowledge and Make Decisions
ISBN: 0195110129 ISBN-13(EAN): 9780195110128
Издательство: Oxford Academ
Цена: 3300.00 р.
Наличие на складе: Невозможна поставка.

Описание: This text shows how organizations behave as information-seeking, information-creating, and information-using communities. It provides models of such organizations, showing that effective management of information is the key to success for the modern firm.

Big Data and Knowledge Sharing in Virtual Organizations

Автор: Albert Gyamfi, Idongesit Williams
Название: Big Data and Knowledge Sharing in Virtual Organizations
ISBN: 1522575197 ISBN-13(EAN): 9781522575191
Издательство: Mare Nostrum (Eurospan)
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Цена: 31324.00 р.
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Описание: Knowledge in its pure state is tacit in nature—difficult to formalize and communicate—but can be converted into codified form and shared through both social interactions and the use of IT-based applications and systems. Even though there seems to be considerable synergies between the resulting huge data and the convertible knowledge, there is still a debate on how the increasing amount of data captured by corporations could improve decision making and foster innovation through effective knowledge-sharing practices.Big Data and Knowledge Sharing in Virtual Organizations provides innovative insights into the influence of big data analytics and artificial intelligence and the tools, methods, and techniques for knowledge-sharing processes in virtual organizations. The content within this publication examines cloud computing, machine learning, and knowledge sharing. It is designed for government officials and organizations, policymakers, academicians, researchers, technology developers, and students.

Turning spreadsheets into corporate data

Автор: Inmon, Bill
Название: Turning spreadsheets into corporate data
ISBN: 1634622286 ISBN-13(EAN): 9781634622288
Издательство: Gazelle Book Services
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Цена: 5575.00 р.
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Описание:

For years, business users have leveraged spreadsheets for storing and communicating data. Although spreadsheets may be easy to create and update, making important corporate decisions based on spreadsheets is risky due to the lack of data credibility. Whether you are a manager, developer, end user, or student, this book will help you turn spreadsheet data into credible, useful, reliable data that can be trusted in order to make important decisions.

A chapter is dedicated to each of the following topics:

  • Brief history of spreadsheets
  • Spreadsheet paradox
  • Spreadsheet varieties
  • The PDF spreadsheet
  • Spreadsheet formatting
  • Spreadsheet disambiguation
  • The intermediate database
  • The ssdef database
  • The corporate database
  • The metadata database (mnemonic database)
  • Political considerations
  • Data modeling and the spreadsheet
  • Case study
Translating Diverse Environmental Data into Reliable Information

Автор: Vallero, Daniel
Название: Translating Diverse Environmental Data into Reliable Information
ISBN: 0128124466 ISBN-13(EAN): 9780128124468
Издательство: Elsevier Science
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Цена: 16666.00 р.
Наличие на складе: Нет в наличии.

Описание: Translating Diverse Environmental Data into Reliable Information: How to Coordinate Evidence from Different Sources is a resource for building environmental knowledge, particularly in the era of Big Data. Environmental scientists, engineers, educators and students will find it essential to determine data needs, assess their quality, and efficiently manage their findings. Decision makers can explore new open access databases and tools, especially portals and dashboards. The book demonstrates how environmental knowledgebases are and can be built to meet the needs of modern students and professionals. Topics covered include concepts and principles that underpin air, water, and other public health and ecological topics. Integrated and systems perspectives are woven throughout, with clues on how to build and apply interdisciplinary data, which can increasingly be obtained from sources ranging from peer-reviewed research appearing in scientific journals to information gathered by citizen scientists. This opens the door to using vast amounts of open data and the necessary quality assurance and metadata considerations for their countless applications.

Learning Organizations: Turning Knowledge into Action

Автор: Goncalves
Название: Learning Organizations: Turning Knowledge into Action
ISBN: 1606494589 ISBN-13(EAN): 9781606494585
Издательство: McGraw-Hill
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Цена: 3252.00 р.
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Описание: In a world facing economic recession, more and more professionals, teams, organizations, and inter-organizational networks are facing the need to restructure and renew themselves with the primary purpose of profitably to add even higher value to their bottom line. Knowledge management has become a key strategic asset for the twenty-first- century economy and for every organization that values knowledge it must invest in developing the best strategy for identifying, developing, and applying the knowledge assets it needs to succeed; it must strive to become a learning organization. This book demonstrates how the effective capture, dissemination, and management of knowledge throughout an organization can make it more competitive. In the book, the author discusses the importance of transforming traditional organizations into learning organizations-entities that foster a culture of continuous learning so that external change in all its facets can be recognized when it happens and internal change can be effected and managed when necessary. This book includes cases and lessons from leading world organizations that invested in knowledge management in order to remain competitive, and it offers strategies and guidance to organizational leaders who endeavor to deliver heightened value to all their stakeholders while eliminating the learning "disabilities" that threaten corporate productivity and success. To remain competitive every organization must invest in creating and implementing the best knowledge networks, processes, methods, tools, and technologies. This will enable them to learn, create new knowledge, and apply the best knowledge much faster.

Human–Wildlife Interactions: Turning Conflict into Coexistence

Автор: Beatrice Frank, Jenny A. Glikman, Silvio Marchini
Название: Human–Wildlife Interactions: Turning Conflict into Coexistence
ISBN: 1108416063 ISBN-13(EAN): 9781108416061
Издательство: Cambridge Academ
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Цена: 12829.00 р.
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Описание: Human-wildlife conflict is an urgent challenge for conservation. Framing human-wildlife interactions strictly as conflict, however, limits the array of solutions. With a broader perspective that emphasises tolerance and coexistence, this book presents solutions to turn conflict into coexistence.

Human–Wildlife Interactions: Turning Conflict into Coexistence

Автор: Beatrice Frank, Jenny A. Glikman, Silvio Marchini
Название: Human–Wildlife Interactions: Turning Conflict into Coexistence
ISBN: 1108402585 ISBN-13(EAN): 9781108402583
Издательство: Cambridge Academ
Рейтинг:
Цена: 6811.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Human-wildlife conflict is an urgent challenge for conservation. Framing human-wildlife interactions strictly as conflict, however, limits the array of solutions. With a broader perspective that emphasises tolerance and coexistence, this book presents solutions to turn conflict into coexistence.

Putting Library Assessment Data to Work

Автор: Selena Killick
Название: Putting Library Assessment Data to Work
ISBN: 1783302208 ISBN-13(EAN): 9781783302208
Издательство: Facet
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Цена: 14784.00 р.
Наличие на складе: Нет в наличии.

Описание: Putting Library Assessment Data to Work brings together key library assessment methodologies detailing how they can be used to improve an academic library.

Even Better Data, Better Decisions: Advanced Business Intelligence for the Medical Practice

Автор: Moore Nate
Название: Even Better Data, Better Decisions: Advanced Business Intelligence for the Medical Practice
ISBN: 1568295448 ISBN-13(EAN): 9781568295442
Издательство: Неизвестно
Цена: 15817.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

What information do you need to see to drive growth and improve the bottom line in your practice? Identifying right information to be delivered at the right time to the right people can be a game changer for the performance of medical practices.

Business intelligence (BI) is not just a fancy name applied to the same old canned reports from disparate data sources. BI, when done correctly, drives practice performance. It delivers mission-critical data exactly when it is needed without manual sorting through pages and pages and columns and columns of data. True BI combines data from two or more discrete datasets to provide a more dimensional view of the data. For instance, combining upcoming appointments with historical clinical data or front desk collections with staffing data produces reports that can offer guidance to support real-time decisions and actions. This book is full of techniques to combine data to deliver actionable insights and drive performance that can be applied to each unique practice situation. The results lead to a more efficient, profitable, flexible, and responsive medical practice that delivers higher-quality patient care.

THIS BOOK WILL PROVIDE YOU WITH THE STRATEGIES TO:

  • Design more efficient staff models

  • Predict gaps in provider schedules

  • Track and diagnose common errors for denied claims

  • Optimize referral patterns

  • Track delinquent patient payment

  • Monitor Medicare quality codes

  • And much more

Better Business Decisions from Data

Автор: Peter Kenny
Название: Better Business Decisions from Data
ISBN: 148420185X ISBN-13(EAN): 9781484201855
Издательство: Springer
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Цена: 4611.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

  • The Scarcity of Certainty
  • Sources of Uncertainty

  • Probability

  • Sampling

  • The Raw Data

  • Descriptive Data

  • Numerical Data

  • Levels of Significance

  • General Procedure for Comparisons

  • Comparisons with Numerical Data

  • Comparisons with Descriptive Data

  • Types of Error

  • Cause and Effect

  • Relationships with Numerical Data

  • Relationships with Descriptive Data

  • Multivariate Data

  • Extrapolation

  • Forecasting from Known Distributions

  • Time Series

  • Control Charts

  • Reliability

  • Data Mining

  • Predictive Analytics

  • Getting Involved with Big Data

  • Concerns with Big DataReferences and Further Reading

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