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Information Quality - The Potential of Data and Analytics to Generate Knowledge (Hardcover)
Loot Price: R1,857
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Information Quality - The Potential of Data and Analytics to Generate Knowledge (Hardcover)
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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.
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