By Ben Lorica As much as I love talking about general-purpose big data platforms and data science frameworks, I?m the first to admit that many of the interesting startups I talk to are focused on specific verticals. At their core big data applications merge large amounts of real-time and static data […]
It’s difficult enough to solve a specific problem, let alone a generic one. Consider the case of Guavus – a successful startup that builds big data solutions for the telecom industry (“communication service providers”). Its founder was very familiar with the data sources in telecom, and knew the types of applications that would resonate within that industry. Once they solve one set of problems for a telecom company (network optimization), they quickly leverage the same systems to solve others (marketing analytics).
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