Chapter 6 Case Study
Chapter 6- Case study- Big Data, Big Rewards
1. Describe the kinds of big data collected by the organizations described in this case.
The organizations described in this case are The British Library, NYPD, Vestas and Hertz. Each of these organizations collects different kinds of data. The British Library has to accommodate about 6 billion searches annually and collects and preserves all websites that are of any historical significance. This also includes websites of past politicians. NYPD collects data on criminals and the criminal complaints and the information collected stores all required information about a criminal such as photo, past offences, address etc. Vestas uses data from global weather systems as well as data from other turbines and location based data including barometric pressure, temperature, wind speed, etc. to increase their wind library which helps them place the turbines in exact locations where the wind power can be harnessed optimally. Other companies like Hertz use big data solutions to analyze customer sentiment. They look for ways to improve their process and make it more efficient by analyzing the data gathered and use it to make smarter decisions that improve business and leave the customers happy. These big data reveal more patterns than smaller data sets and provide insight into many smaller nuances that is otherwise difficult to spot.
2. List and describe the business intelligence technologies described in this case.
All three business intelligence technologies are described in this case.
a) Management information systems
b) Decision support systems
c) Executive support systems
MIS reports can easily be prepared from the big data and can be presented to management or higher officials as the case might be. It collects, stores and analyses data with intricate details that can be visualized quickly in seconds and instantly related when required.
DSS focus on problems that are unique and rapidly changing. IBM’s Bigsheets is an
1. Describe the kinds of big data collected by the organizations described in this case.
The organizations described in this case are The British Library, NYPD, Vestas and Hertz. Each of these organizations collects different kinds of data. The British Library has to accommodate about 6 billion searches annually and collects and preserves all websites that are of any historical significance. This also includes websites of past politicians. NYPD collects data on criminals and the criminal complaints and the information collected stores all required information about a criminal such as photo, past offences, address etc. Vestas uses data from global weather systems as well as data from other turbines and location based data including barometric pressure, temperature, wind speed, etc. to increase their wind library which helps them place the turbines in exact locations where the wind power can be harnessed optimally. Other companies like Hertz use big data solutions to analyze customer sentiment. They look for ways to improve their process and make it more efficient by analyzing the data gathered and use it to make smarter decisions that improve business and leave the customers happy. These big data reveal more patterns than smaller data sets and provide insight into many smaller nuances that is otherwise difficult to spot.
2. List and describe the business intelligence technologies described in this case.
All three business intelligence technologies are described in this case.
a) Management information systems
b) Decision support systems
c) Executive support systems
MIS reports can easily be prepared from the big data and can be presented to management or higher officials as the case might be. It collects, stores and analyses data with intricate details that can be visualized quickly in seconds and instantly related when required.
DSS focus on problems that are unique and rapidly changing. IBM’s Bigsheets is an