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For courses on Business Intelligence or Decision Support Systems. A
managerial approach to understanding business intelligence systems.
To help future managers use and understand analytics, Business
Intelligence provides students with a solid foundation of BI that
is reinforced with hands-on practice.
This book covers the fundamental concepts of data mining, to
demonstrate the potential of gathering large sets of data, and
analyzing these data sets to gain useful business understanding.
The book is organized in three parts. Part I introduces concepts.
Part II describes and demonstrates basic data mining algorithms. It
also contains chapters on a number of different techniques often
used in data mining. Part III focuses on business applications of
data mining.
For courses in decision support systems, computerised
decision-making tools, and management support systems.
Market-leading guide to modern analytics, for better business
decisions Analytics, Data Science, & Artificial Intelligence:
Systems for Decision Support is the most comprehensive introduction
to technologies collectively called analytics (or business
analytics) and the fundamental methods, techniques, and software
used to design and develop these systems. Students gain inspiration
from examples of organisations that have employed analytics to make
decisions. With six new chapters, the 11th edition marks a major
reorganisation reflecting a new focus - analytics and its enabling
technologies, including AI, machine-learning, robotics, chatbots,
and IoT.
Make Better Decisions, Leverage New Opportunities, and Automate
Decisioning at Scale Prescriptive analytics is more directly linked
to successful decision-making than any other form of business
analytics. It can help you systematically sort through your choices
to optimize decisions, respond to new opportunities and risks with
precision, and continually reflect new information into your
decisioning process. In Prescriptive Analytics, analytics expert
Dr. Dursun Delen illuminates the field's state-of-the-art methods,
offering holistic insight for both professionals and students.
Delen's end-to-end, all-inclusive approach covers optimization,
simulation, multi-criteria decision-making methods, inference- and
heuristic-based decisioning, and more. Balancing theory and
practice, he presents intuitive conceptual illustrations, realistic
example problems, and real-world case studies-all designed to
deliver knowledge you can use. Discover where prescriptive
analytics fits and how it improves decision-making Identify optimal
solutions for achieving an objective within real-world constraints
Analyze complex systems via Monte-Carlo, discrete, and continuous
simulations Apply powerful multi-criteria decision-making and
mature expert systems and case-based reasoning Preview emerging
techniques based on deep learning and cognitive computing
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