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Because analytics does not belong to one discipline, we are moving beyond the traditional sectors and reaching out to researchers, graduate students and practitioners whose interests cross disciplines. We have assembled a team of researchers from Management Sciences, Operations Management, Marketing, Information Systems, Finance, Business Economics and Computing Science. These diverse backgrounds will provide a variety of perspectives in our analytics research. This diversity will add to the creativity of our research and our results.
This paper introduces Sparkling Water which is an integration of a general purposed big data framework called Spark, and a powerful machine learning library called H2O.ai.
With the recent growth in availability of data and inexpensive analytical tools, forward-thinking enterprises can mine the potential of these powerful methods for themselves. Here is what you need to know to get started.
From the basement to the boardroom: The analytics revolution is returning us to the Marrakech markets of old.
In the era of Big Data, marketing managers must move beyond analyzing aggregates of market data.
The Pricelines and Hotwires of the world are vulnerable to online consumers gaming the system by banding together. Fortunately for the companies, consumers are loners.
Direct-to-consumer advertising gets a bad rap in Canada. But is it really such a negative force?
When it comes to products with a short shelf life, replenishing your inventory by instinct alone makes you easy pickings. Time to build your analytics toolkit.
When a new movie or book is rolled out in different formats over time, how do firms get the biggest bang from their advertising and viral campaigns?
A new model that accounts for how consumers view wait-or-buy decisions shows retailers how to harvest higher revenue from deeper discounts.