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C'est un bon cas d'étude pour les écoles de gestion... via Bloomberg Target Will Abandon Canada After Racking Up Billions in Losses Target Corp. (TGT) will abandon its operations in Canada after less than two years, putting an end to a mismanaged expansion that racked up billions in losses. The Canadian business is seeking court approval to begin liquidation, the Minneapolis-based retailer said today in a statement. The move will lead to a $5.4 billion writedown. This is the first major strategic shift made under Chief Executive Officer Brian Cornell, who took over for Gregg Steinhafel last year. Steinhafel had seen Canada as burgeoning market for Target, the second-largest U.S. discount chain, because so many Canadians already knew the brand and would cross the border to shop at American stores. Fixing the Canada unit, which amassed more than $2 billion in operating losses since 2011, has been a top priority for Cornell. After taking the reins in August, he spent a portion of his early days at the company touring operations in Canada. The woes plaguing the company’s 130 stores there ranged from empty shelves to prices being higher than locations in the U.S. “We were unable to find a realistic scenario that would get Target Canada to profitability until at least 2021,” Cornell said today. “This was a very difficult decision, but it was the right decision for our company.” Target announced its foray into Canada in 2011 with the purchase of 220 locations from Zellers Inc., a subsidiary of Hudson’s Bay Co., for about C$1.8 billion. The deal cemented the chain’s first expansion outside the U.S., where it had about 1,750 stores at the time. Target’s shares have rebounded since taking a hit following a data breach during the 2013 holiday season. The stock had gained 21 percent to $74.33 over the past 12 months through yesterday. To contact the reporter on this story: Matt Townsend in New York at mtownsend9@bloomberg.net
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Analysis of Flickr photos could lead to online travel books
un sujet a posté ErickMontreal dans L'actualité
Analysis of Flickr photos could lead to online travel books Representative images for the top landmark in each of the top 20 North American cities. All parts of the figure, including images, textual labels and the map itself, were produced automatically from the researchers' geo-tagged photos. April 28th, 2009 By Paul Redfern Cornell scientists have downloaded and analyzed nearly 35 million Flickr photos taken by more than 300,000 photographers from around the globe, using a supercomputer at the Cornell Center for Advanced Computing (CAC). Their research, which was presented at the International World Wide Web Conference in Madrid, April 20-24, provides a new and practical way to automatically organize, label and summarize large-scale collections of digital images. The scalability of the method allows for mining information latent in very large sets of images, raising the intriguing possibility of an online travel guidebook that could automatically identify the best sites to visit on a vacation, as judged by the collective wisdom of the world's photographers. The research also generated statistics on the world's most photographed cities and landmarks, gleaned from the analysis of the multi-terabyte photo collection: • The top 25 most photographed cities in the Flickr data are (in order): New York City, London, San Francisco, Paris, Los Angeles, Chicago, Washington, D.C., Seattle, Rome, Amsterdam, Boston, Barcelona, San Diego, Berlin, Las Vegas, Florence, Toronto, Milan, Vancouver, Madrid, Venice, Philadelphia, Austin, Dublin, Portland. • The top seven most photographed landmarks are (in order): Eiffel Tower, Paris; Trafalgar Square, London; Tate Modern museum, London; Big Ben, London; Notre Dame, Paris; The Eye, London; the Empire State Building, New York City. Interestingly, the Apple Store in midtown Manhattan was the fifth-most photographed place in New York City -- and the 28th-most photographed place in the world. The researchers developed techniques to identify places that people find interesting to photograph, showing results for thousands of locations at both city and landmark scales. "We developed classification methods for characterizing these locations from visual, textual and temporal features," said Daniel Huttenlocher, the John P. and Rilla Neafsey Professor of Computing, Information Science and Business and Stephen H. Weiss fellow. "These methods reveal that both visual and temporal features improve the ability to estimate the location of a photo compared to using just textual tags." As the creation of digital data accelerates, said CAC director David Lifka, "supercomputers and high-performance storage systems will be essential in order to quickly store, archive, preserve and retrieve large-scale data collections." The research was supported in part by the National Science Foundation (NSF) and by funding from Google, Yahoo! and the John D. and Catherine T. MacArthur Foundation. The CAC is supported by Cornell, the NSF, the Department of Defense, the Department of Agriculture and members of its corporate program. http://www.cs.cornell.edu/~dph/paper...omap-www09.pdf .
