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In many cases, the end of the year gives you time to step back and take stock of the last 12 months. This is when many of us take a hard look at what worked and what did not, complete performance reviews, and formulate plans for the coming year. For me, it is all of those things plus a time when I u...
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2013 Oscar® Winners Forecasted with Farsite's Predictive Model
Lincoln leads top categories based on first-of-its-kind data science analysis

COLUMBUS, Ohio, Jan. 10, 2013 /PRNewswire/ -- The 85th Annual Academy Award® winners have been predicted using a proprietary data science model from Farsite, a data science firm. Predictions include Lincoln for Best Film, Daniel Day-Lewis of Lincoln for Best Actor and Jennifer Lawrence of Silver Linings Playbook for Best Actress. These categories, along with Best Director, Best Supporting Actor and Best Supporting Actress are showcased at http://www.FarsiteForecast.com. The probabilities of winning will be updated daily to account for new information such as Guild wins.

"Last year, 40 million people watched the Oscars," said Conor Gaughan, chief strategy officer of Farsite. "Given the size and cultural prominence of the entertainment industry, it is fun and relevant to apply data science to the Academy Awards and explore how the discipline can empower the media industry more broadly. This year Hollywood box office sales were over $10.8 billion. This is a huge sector where data science can help play a prominent role in growth."

To arrive at this first-of-its-kind forecasting model, Farsite leveraged its expertise in predictive and advanced analytics and the entertainment industry. The model incorporates more than 40 years of film industry and Academy Award related information to forecast probabilities for the winners. This information includes real-time data inputs and a wide array of variables such as total nominations, other Guild nominations and wins, buzz and nominees' previous winning performance. "We will adjust the forecast daily based on the key signals in our proprietary model to update the probability of any given nominee winning," said Ryan McClarren, chief science officer of Farsite. 

For model updates, daily data insights and regular commentary, visit http://www.FarsiteForecast.com and follow http://www.Twitter.com/FarsiteForecast.

About Farsite
Farsite is a data science firm that specializes in helping companies use predictive and advanced analytics to empower smart business decisions, solve their toughest challenges and gain a distinctive competitive advantage. For more information visit www.FarsiteGroup.com.

SOURCE Farsite

About PR Newswire
Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

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