Shashank

Takeaways:
1. Use of data and importance of having proper data.
2. Use of various tools for various reasons – “One size doesn’t fit all”
3. Ethical issues of using data and protecting it.

Q1: I am not really surprised by any of the comments of the speakers. Instead my understanding about visualization and the importance of story telling was further strengthened. I realized the importance of various tools and the need to be able to see the holistic picture as well as the granular information.

What is the total number of males admitted for allergic reaction?

1. If I were in charge of Data.gov, I would take the following steps:
a). Agree with Andy’s idea of holding a competition, this opens up the loop holes and helps me improve the website.
b). Classify data according to categories, provide sufficient explanation to headers and he process through which it was collected.
c) Make data easy to…[Read more]

I would use text analytics to find people that are most relevant. I would use data related to skills and past work experience (qualitative). I would also link LinkedIn profiles to check for endorsements. Number of endorsements are an indicator of people approving someone’s skill. This would be one KPI. I would also check for certifications…[Read more]

In my previous job at Bharat Electronics, the KPI were not so clear. I worked on network optimization and one of the key indicators were delay and jitter. However, the problem was we demonstrated on a 3 node network, but the implementation was 100 node network. There was a problem of measuring things in a small setup assuming it works in a bigger setup.

http://ibit.temple.edu/analytics/files/2013/11/1st-BrownFullGraphic.png

This is the infographic from last year’s big data challenge at Temple University. It is beautiful and clear to the reader. It starts from big picture and drills down to the sub segment that is lucrative.

Q1:
In the movie database, I joined customer and rental tables in order to find out the individual rentals of customers.

I consider ERD diagram as a a source of knowledge. It not only sheds light on data but also gives the interrelationship between various entities. Also, the relationship dependent attributes are also explained. This gives a holistic picture of the whole system.