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Kaypok Unveils Root Cause Analysis Solution for Why Consumers Behave

Company to Present on Social Media Behavior and Deep Root Cause Analysis at iStrategy Toronto December 4

TORONTO (December 4, 2012) — Companies are drowning in a sea of big, unstructured, noisy data. Whether it’s social media chatter, email or survey results, how do you filter the noise and take action?

Kaypok Inc., a company spun off from York University research with support and funding from MaRS Innovation, uses a contextual natural language process to automatically interpret the meaning of raw data — without analysts, advance preparation, special databases or lag time.

Read the start-up company profile of Kaypok Inc. on the MaRS Innovation website.

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