Global capacity planning – Identify macro risk factors and predict demand.
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Picking and choosing the right set of data from a vast number of sources including social media, web forums, news sources and blogs.
By first defining the context, Cueris was able to analyze data streaming news, social media feeds and other sources using several machine learning techniques. Select keywords were used to model consumer behavior, sentiment, risk and market fluctuations. Our data science team designed a demand prediction and capacity planning algorithm based on network theory.