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Unformatted text preview: . Employees using social
networks more are more likely to perform better.
Hoofing It: Companies located within walking distance to their employees’ homes retain workers for 58
percent longer than those located further away from where their employees live. People who live near
their workplace and walk to work tend to stay at the job longer
Shorter is Not Better: Apparently a short drive doesn’t reap the same rewards as a walk to work. A quick
0-5 mile drive to work increases employee retention by only 20 percent. Read more: How Data Analysis Boosts Productivity | TIME.com http://business.time.com/2013/09/09/how-dataanalysis-boosts-productivity/#ixzz2jVQowj7d Making data analytics work: Three key challenges
Across industries, “big data” and analytics are helping businesses to become smarter, more productive,
and better at making predictions. Tapping this potential for your organization begins with shaping a plan.
March 2013 By now, most companies recognize that they have opportunities to use data and analytics to
raise productivity, improve decision making, and gain competitive advantage. “Analytics will
define the difference between the losers and winners going forward,” says Tim McGuire, a
But actually mapping out an analytics plan is complicated. You have to set a strategy; draw a
detailed road map for investing in assets such as technology, tools, and data sets; and tackle the
intrinsic challenges of securing commitment, reinventing processes, and changing organizational
behavior. Our collection of content, which synthesizes key insights drawn from many analytics
projects, sets out the key issues, whether you are launching a pilot project or a large-scale
“Big data: What’s your plan?” sets out the imperative task: to develop a plan that brings together
data, analytics, frontline tools, and people to create business value. Only by spending the time to
craft a plan can executives establish a common language to focus on goals and on ways of getting
Above, in the first of three videos, Tim McGuire sets out the triple challenge that companies face:
deciding which data to use (and where outside your organization to look), handling analytics (and
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This note was uploaded on 03/28/2014 for the course OMIS 2000 taught by Professor Hk during the Fall '13 term at York University.
- Fall '13