Saturday, February 01, 2014
Predicting Product Success
Predicting Product Launch success. We worked on this using a number of simulation based methods. Interesting case study here: " ... Back in May, Kaggle ran a competition with hack/reduce and dunnhumby focused on using big data predictive analysis on product launches. The objective: to discover how to predict the level of success or failure of a product by looking at the first few weeks of sales. Called the “Product launch challenge” the hackathon brought in quite a few interested hacker and data science teams to try their hand at the problem. ... "
Labels:
Big Data,
DunnHumby,
Kaggle,
Product,
Simulation
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