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Closing the Analytics Talent Gap - An Executive's Guide to Working with Universities (Hardcover)
Loot Price: R3,180
Discovery Miles 31 800
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Closing the Analytics Talent Gap - An Executive's Guide to Working with Universities (Hardcover)
Series: Data Analytics Applications
Expected to ship within 12 - 17 working days
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How can we recruit out of your program? We have a project - how do
we reach out to your students? If we do research together who owns
it? We have employees who need to "upskill" in analytics - can you
help me with that? How much does all of this cost? Managers and
executives are increasingly asking university professors such
questions as they deal with a critical shortage of skilled data
analysts. At the same time, academics are asking such questions as:
How can I bring a "real" analytical project in the classroom? How
can I get "real" data to help my students develop the skills
necessary to be a "data scientist? Is what I am teaching in the
classroom aligned with the demands of the market for analytical
talent? After spending several years answering almost daily e-mails
and telephone calls from business managers asking for staffing help
and aiding fellow academics with their analytics teaching needs,
Dr. Jennifer Priestley of Kennesaw State University and Dr. Robert
McGrath of the University of New Hampshire wrote Closing the
Analytics Talent Gap: An Executive's Guide to Working with
Universities. The book builds a bridge between university analytics
programs and business organizations. It promotes a dialog that
enables executives to learn how universities can help them find
strategically important personnel and universities to learn how
they can develop and educate this personnel. Organizations are
facing previously unforeseen challenges related to the translation
of massive amounts of data - structured and unstructured, static
and in-motion, voice, text, and image - into information to solve
current challenges and anticipate new ones. The advent of analytics
and data science also presents universities with unforeseen
challenges of providing learning through application. This book
helps both organizations with finding "data natives" and
universities with educating students to develop the facility to
work in a multi-faceted and complex data environment. .
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