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This book presents a framework for developing an analytics strategy
that includes a range of activities, from problem definition and
data collection to data warehousing, analysis, and decision making.
The authors examine best practices in team analytics strategies
such as player evaluation, game strategy, and training and
performance. They also explore the way in which organizations can
use analytics to drive additional revenue and operate more
efficiently. The authors provide keys to building and organizing a
decision intelligence analytics that delivers insights into all
parts of an organization. The book examines the criteria and tools
for evaluating and selecting decision intelligence analytics
technologies and the applicability of strategies for fostering a
culture that prioritizes data-driven decision making. Each chapter
is carefully segmented to enable the reader to gain knowledge in
business intelligence, decision making and artificial intelligence
in a strategic management context.
This book presents a framework for developing an analytics strategy
that includes a range of activities, from problem definition and
data collection to data warehousing, analysis, and decision making.
The authors examine best practices in team analytics strategies
such as player evaluation, game strategy, and training and
performance. They also explore the way in which organizations can
use analytics to drive additional revenue and operate more
efficiently. The authors provide keys to building and organizing a
decision intelligence analytics that delivers insights into all
parts of an organization. The book examines the criteria and tools
for evaluating and selecting decision intelligence analytics
technologies and the applicability of strategies for fostering a
culture that prioritizes data-driven decision making. Each chapter
is carefully segmented to enable the reader to gain knowledge in
business intelligence, decision making and artificial intelligence
in a strategic management context.
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