Big Data Case Study

Big data case study

CASE STUDY
1
Question 1: Describe the kinds of big data collected by the organizations
described in this case
According to the given scenario, there are major four kinds of big data collected by the
companies which will be discussed in this part. The first company is IBM that used big
data and it helps the British library for controlling and managing a large amount of
statistics sets. It has been found that the IBM big sheets provided a platform to British
library for handling the data of consumers and British library is accountable for
preservative web applications of British which no lengthier occur but require to be
conserved. By utilizing IBM big data British library improved the performance of their
system and they easily controlled large data sets in an effective manner (Agarwal and
Dhar 443-448).
Second, the real time crime centre involves big data process for controlling data of
millions of consumers on city crime. For which state and government activities are
adopted big data approach to learn concealed designs in illegal cases. Moreover, the IBM
and new york city work with each other in order to design a warehouse that involves
data of 120 million criminal and 33 billion public records (Singh and Reddy 8). Third,
Vestas organization designed and applied a answer which involves IBM info sphere big
visions software consecutively on a huge level of presentation. Forth, Hertz A car rental
Hetrz with the help of big data process for analysing individual sentiment from emails,
text messages, web surveys, and traffic patterns. The Hertz organization was able to
control and manage the time spending process and recover organization reply period to
client response and variations in soppiness.
Question 2: List and describe the business intelligence technologies described in
this case
There are the following businesses intelligence skills described in this scenario:
Real time analytics for inventory management: this is one of the common intelligence
technology which is used by sears and they implemented hadoop and into a traditional
environment both technologies. According to the big data case study, by using business
intelligence process teams are able to deliver more efficient and real time inventory to
their consumers (Cevher, Becker and Schmidt 32-43).

CASE STUDY
2
There are few other technologies explained in the given case study, for example, green
mountain coffee, data streams and calibrio analytics to glean insight form various
communication channels. By using such kind of business intelligence techniques
companies can analyse data and receive feedbacks from consumers and they can easily
deliver products more effectively (Elgendy and Elragal). It is identified the AutoZone is
utilizing a computer software which is known as NuoDB in order to control and
maintain their inventories across all their channels and stores.
IBM big sheets are defined as an insight engine which supports annotate, extract and
visually evaluate vast parts of unwanted web statistics. Central communities are
evaluating big data in order to collect concealed designs in illicit activity, for example,
opportunity, correlations between time periods, companies and criminal agenises
which would be complex to analyse a small number of data sets (Watson 65). It is
observed that the real time crime system involve lots of data sets on criminals and city
corruption and vestas rely on site based facts for calculating the finest spots to
implement their turbines. Moreover, it evaluated a explanation which involves IBM
Information Shpere big visions technology which is successively on a large presentation
IBM device.
Question 3: Q3: Why did the companies described in this case need to maintain
and analyse? What business benefits did they obtain?
In the given case study there are several organizations highlighted that uses big data
technology for analysing a large number of data sets. These organizations are described
below:
The British library
It is identified that the British public library required to control and manage big data
since old-style statistics organization techniques showed insufficient to store numbers
of web sheets. In this modern era, it is very important to analyse a large amount of data
for which the British library designed and implemented big data technology (Gandomi
and Haider 137-144). Moreover, their previous techniques and legacy analytics devices
could not extract important information from quantities of data due to which the British
library changed their tools and adopted the concept of big data.