Client Accurately Predicts 5 of 6 Awards with Big Data
Congratulations to our client, Farsite! Farsite is a Columbus-based data scientist firm that builds statistical models providing the opportunity to make educated decisions from data. Farsite took a unique approach in helping the average person understand big data by bringing it to the big screen. The company began an Oscar Forecast at the beginning of award season in hopes to predict the winners. Farsite accurately predicted the winners of the following categories:
- Best Picture – Argo
- Best Actor – Daniel-Day Lewis
- Best Actress – Jennifer Lawrence
- Best Supporting Actor – Christoper Waltz
- Best Supporting Actress – Anne Hathaway
The category Farsite missed was the Best Director award where they predicted Spielberg instead of the winner, Ang Lee. However, they made up for it by accurately projecting Best Supporting Actor winner Christoph Waltz. Farsite was one of the few big data companies across the country to accurately predict in the category.
Continue to stay updated with Farsite’s fun forecasts through their blog.
Bill Kiefaber • February 26, 2013
Posted in these categories:Client News
With these tags:ang lee, anne hathaway, argo, big data, christoph waltz, daniel-day lewis, farsite, farsite forecast, jennifer lawrence, Marketing Works, oscar predictions, oscars