Colin P Krouse

I work as a waiter at a restaurant. My KPI is tip percentage. Basically, at the end of each shift, I review my sales summary and divide my total amount of tips by my total amount of sales. Generally, if someone who eats at a restaurant feels that the service was good, it is common to leave a gratuity that is 20% of the bill. Therefore, if my tip…[Read more]

I think that the worst problem on the list to occur would be Number 3, failing to use a backup server. This problem stands out because it is common to many forms of technology, but could have especially bad consequences when one is dealing with large, organized data sets. It also seems like it could affect a wide range of people who work with data…[Read more]

http://news.mit.edu/2016/quantum-approach-big-data-0125

This article is interesting because it addresses some of the problems with analyzing data that we have discussed in class. MIT has developed an algorithm that assesses data based on topology, which means that data collected, such as the amount of something or how many parts of it are…[Read more]