Data

For The Love Of Data

By Sharat Shashi Nayar, Operations Lead   3.1 trillion USD. That’s IBM’s estimate on the cost of bad quality data in the US alone, in 2016. How do we define good, clean data? “Cleaning” refers to the removal of invalid data points from the given data. The end goal of data cleaning is not just to “clean up” the data off its unwanted elements, but also to bring a structure to the same, for it to be…

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food discovery

Stop Using Ratings & Reviews To Make Food Decisions

By Kishan Vasani, Co-Founder & CEO Most people choose what and/or where to eat by reading reviews and ratings of restaurants. And broadly speaking, the system works, right? Well yes, and no. Think about all the restaurants you’ve visited or ordered food from over the last few months, especially the new places. How did you choose that restaurant? Probably by reading ratings and reviews. Did the experience live up to what the reviews told you? If…

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