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This book explores emerging research and pedagogy in analytics and
data science that have become core to many businesses as they work
to derive value from data. The chapters examine the role of
analytics and data science to create, spread, develop and utilize
analytics applications for practice. Selected chapters provide a
good balance between discussing research advances and pedagogical
tools in key topic areas in analytics and data science in a
systematic manner. This book also focuses on several business
applications of these emerging technologies in decision making,
i.e., business analytics. The chapters in Analytics and Data
Science: Advances in Research and Pedagogy are written by leading
academics and practitioners that participated at the Business
Analytics Congress 2015. Applications of analytics and data science
technologies in various domains are still evolving. For instance,
the explosive growth in big data and social media analytics
requires examination of the impact of these technologies and
applications on business and society. As organizations in various
sectors formulate their IT strategies and investments, it is
imperative to understand how various analytics and data science
approaches contribute to the improvements in organizational
information processing and decision making. Recent advances in
computational capacities coupled by improvements in areas such as
data warehousing, big data, analytics, semantics, predictive and
descriptive analytics, visualization, and real-time analytics have
particularly strong implications on the growth of analytics and
data science.
This volume explores emerging research and pedagogy in analytics,
collaboration, and decision support with an emphasis on business
intelligence and social media. In general, the chapters help
understand where technology involvement in human decisions is
headed. Reading the chapters can help understand the opportunities
and threats associated with the use of information technology in
decision making. Computing and information technologies are
reshaping our global society, but they can potentially reshape it
in negative as well as positive ways. Analytics, collaboration and
computerized decision support are powerful decision aiding and
decision making tools that have enormous potential to impact crisis
decision making, regulation of financial systems, healthcare
decision making and many more important decision domains. Many
information technologies can potentially support, assist and even
decide for human decision makers. Despite the potential, some
researchers think that we know the answers to how these
technologies will change society. The "Wisdom of Crowds" or "Big
Data" become the topic of the day and are soon replaced with new
marketing terms. In many ways, mobile technology is just another
form factor to adapt decision support capabilities too and
experiment with new capabilities. The cloud is a nebulous metaphor
that adds to the mystery of information technology. Wireless
technology enables the ubiquitous presence of analytics and
decision support. With new networking capabilities, collaboration
is possible anywhere and everywhere using voice, video and text.
Documents can be widely shared and massive numbers of documents can
be carried on a small tablet computer. Recent developments in
technologies impact the processes organizations use to make
decisions. In addition, academics are looking for ways to enhance
their pedagogy to train students to be more adept in understanding
how emerging technology will be used effectively for decision
making in organizations. The chapters are based on papers
originally reviewed at the Special Interest Group on Decision
Support Systems (SIGDSS) Workshop at the 2013 International
Conference on Information Systems (ICIS 2013). Ultimately this
volume endeavors to find a balance between systematizing what we
know, so we can teach our findings from prior research better, and
stimulating excitement to move the field in new directions.
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