9781118874448 - Information Quality: The Potential of Data and Analytics to Generate Knowledge de Kenett, Ron S.; Shmueli, Galit (14 resultados)

hardcover. Condición: Very Good. Hardcover issued without dust-jacket. A little bumping to edges of boards. Otherwise, clean and solid.

Paperback. Condición: Good. The book has been read but remains in clean condition. All pages are intact and the cover is intact. Some minor wear to the spine.

Condición: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,700grams, ISBN:9781118874448.

Condición: New.

Hardcover. Condición: new. Hardcover. Provides an important framework for data analysts in assessing the quality of data and its potential to provide meaningful insights through analysis Analytics and statistical analysis have become pervasive topics, mainly due to the growing availability of data and analytic tools. Technology, however, fails to deliver insights with added value if the quality of the information it generates is not assured. Information Quality (InfoQ) is a tool developed by the authors to assess the potential of a dataset to achieve a goal of interest, using data analysis. Whether the information quality of a dataset is sufficient is of practical importance at many stages of the data analytics journey, from the pre-data collection stage to the post-data collection and post-analysis stages. It is also critical to various stakeholders: data collection agencies, analysts, data scientists, and management. This book: Explains how to integrate the notions of goal, data, analysis and utility that are the main building blocks of data analysis within any domain.Presents a framework for integrating domain knowledge with data analysis.Provides a combination of both methodological and practical aspects of data analysis.Discusses issues surrounding the implementation and integration of InfoQ in both academic programmes and business / industrial projects.Showcases numerous case studies in a variety of application areas such as education, healthcare, official statistics, risk management and marketing surveys.Presents a review of software tools from the InfoQ perspective along with example datasets on an accompanying website. This book will be beneficial for researchers in academia and in industry, analysts, consultants, and agencies that collect and analyse data as well as undergraduate and postgraduate courses involving data analysis. Provides an important framework for data analysts in assessing the quality of data and its potential to provide meaningful insights through analysis Analytics and statistical analysis have become pervasive topics, mainly due to the growing availability of data and analytic tools. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condición: New. Brand new! Please provide a physical shipping address.

Condición: New. Provides an important framework for data analysts in assessing the quality of data and its potential to provide meaningful insights through analysis Analytics and statistical analysis have become pervasive topics, mainly due to the growing availability of data and analytic tools. Num Pages: 384 pages. BIC Classification: UNC. Category: (P) Professional & Vocational. Dimension: 162 x 237 x 23. Weight in Grams: 614. . 2016. 1st Edition. Hardcover. . . . .

Condición: New.

Condición: New. Provides an important framework for data analysts in assessing the quality of data and its potential to provide meaningful insights through analysis Analytics and statistical analysis have become pervasive topics, mainly due to the growing availability of data and analytic tools. Num Pages: 384 pages. BIC Classification: UNC. Category: (P) Professional & Vocational. Dimension: 162 x 237 x 23. Weight in Grams: 614. . 2016. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

Hardcover. Condición: new. Hardcover. Provides an important framework for data analysts in assessing the quality of data and its potential to provide meaningful insights through analysis Analytics and statistical analysis have become pervasive topics, mainly due to the growing availability of data and analytic tools. Technology, however, fails to deliver insights with added value if the quality of the information it generates is not assured. Information Quality (InfoQ) is a tool developed by the authors to assess the potential of a dataset to achieve a goal of interest, using data analysis. Whether the information quality of a dataset is sufficient is of practical importance at many stages of the data analytics journey, from the pre-data collection stage to the post-data collection and post-analysis stages. It is also critical to various stakeholders: data collection agencies, analysts, data scientists, and management. This book: Explains how to integrate the notions of goal, data, analysis and utility that are the main building blocks of data analysis within any domain.Presents a framework for integrating domain knowledge with data analysis.Provides a combination of both methodological and practical aspects of data analysis.Discusses issues surrounding the implementation and integration of InfoQ in both academic programmes and business / industrial projects.Showcases numerous case studies in a variety of application areas such as education, healthcare, official statistics, risk management and marketing surveys.Presents a review of software tools from the InfoQ perspective along with example datasets on an accompanying website. This book will be beneficial for researchers in academia and in industry, analysts, consultants, and agencies that collect and analyse data as well as undergraduate and postgraduate courses involving data analysis. Provides an important framework for data analysts in assessing the quality of data and its potential to provide meaningful insights through analysis Analytics and statistical analysis have become pervasive topics, mainly due to the growing availability of data and analytic tools. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condición: As New. Unread book in perfect condition.

Hardcover. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Hardcover. Condición: new. Hardcover. Provides an important framework for data analysts in assessing the quality of data and its potential to provide meaningful insights through analysis Analytics and statistical analysis have become pervasive topics, mainly due to the growing availability of data and analytic tools. Technology, however, fails to deliver insights with added value if the quality of the information it generates is not assured. Information Quality (InfoQ) is a tool developed by the authors to assess the potential of a dataset to achieve a goal of interest, using data analysis. Whether the information quality of a dataset is sufficient is of practical importance at many stages of the data analytics journey, from the pre-data collection stage to the post-data collection and post-analysis stages. It is also critical to various stakeholders: data collection agencies, analysts, data scientists, and management. This book: Explains how to integrate the notions of goal, data, analysis and utility that are the main building blocks of data analysis within any domain.Presents a framework for integrating domain knowledge with data analysis.Provides a combination of both methodological and practical aspects of data analysis.Discusses issues surrounding the implementation and integration of InfoQ in both academic programmes and business / industrial projects.Showcases numerous case studies in a variety of application areas such as education, healthcare, official statistics, risk management and marketing surveys.Presents a review of software tools from the InfoQ perspective along with example datasets on an accompanying website. This book will be beneficial for researchers in academia and in industry, analysts, consultants, and agencies that collect and analyse data as well as undergraduate and postgraduate courses involving data analysis. Provides an important framework for data analysts in assessing the quality of data and its potential to provide meaningful insights through analysis Analytics and statistical analysis have become pervasive topics, mainly due to the growing availability of data and analytic tools. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Condición: As New. Unread book in perfect condition.