This startup takes the work out of data analytics

Doing data analytics is a lot like striking up a conversation: you’ve got to ask the right questions if you want to learn anything interesting. But in many organizations, the employees best equipped to ask the right questions — the ones who are close to day-to-day operations — lack the ability to investigate their hunches. Unless they can convince higher-ups that researching a hypothesis about consumer behavior or business operations is a worthwhile expenditure of limited resources, their suspicions may never be confirmed or set aside. Semantify, a Chicago-based analytics company, wants to make investigating business hunches easier. Their plan for doing so is to let non-technical users do their own analytics by typing in plain English questions like “How many customers who call to complain about late payment fees…

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