A look into my Netflix data depicts me as a  fan of the Brain Wave animations, Fat Pants comedy, and the Good Medicine documentaries. The data would indicate that I watch shows on Vimeo for several hours daily. The Netflix data collected will tell that I am a fan of these Vimeo shows. However, this is not true asI spent a lot of my time in the gym sessions.I don’t watch the shows in Vimeo to that extent as shown by the data in Vimeo as a fan but to psyche myself up in the gym sessions. It is the primary context behind me watching the Vimeo shows (Davenport 136). However, the data from Vimeo might indicate that I am a steadfast fan of the Boss Baby animations.

I want to get more information about my kitten pet eating habits. I have a kitten: Mickey, who is just three months old. Mickey’s health has been deteriorating for the last two weeks. I do my best to ensure that she feeds on adequate food at the right time with no success. If I had data on the appropriate time and the types of food that she should feed, I would surely come up with crucial ways of feeding her so that she regains her former state of health.

The data collection of feeding habits of Mickey is not difficult. The time of effectively feeding would be timed from my stopwatch. The Merrick food calculator may obtain the amount of food to be supplied to the kitten. The device would tell the amount of food to feed the kitten by her age.

Work Cited

Davenport, Thomas. Big data at work: dispelling the myths, uncovering the opportunities. Harvard Business Review Press, 2014, pp.136-141.

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