How to build a business around data in 7 easy steps, explained with food

come to think of it, many processes may be associated to cooking.

Gigaom

Food and data, it turns out, have a lot in common. Eating a meal is easy, and so is consuming pre-prepared data. But anyone who has ever had to cook a meal from scratch or build a big, usable database probably has a better appreciation of the work that goes into creating those finished products. Consumers might take them for granted, but chefs and database architects don’t.

The team at Food Genius certainly doesn’t. The Chicago-based startup has built a massive interactive database of restaurant menus across the United States — by price, ingredients, preparation, descriptive terms and more — but it wasn’t easy. It’s hard enough to build accurate, searchable datasets in normal fields. In a field as complicated as the culinary industry, it’s a near-Herculean chore.

Whatever industry or topic someone is trying to enlighten with data, though, it might make sense to think about product development like…

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About plerudulier

Primarily interested in interacting and engaging with people about issues related to profession but also charity, environment, ... you get the idea.

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