Secondary and Primary Issues in Analytics - Dumnonia Corporation

A report Secondary and Primary Issues in Analytics - Dumnonia Corporation 1
A report Secondary and Primary Issues in Analytics - Dumnonia Corporation
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A report Secondary and Primary Issues in Analytics - Dumnonia Corporation 2
Executive summary
Due to the reason that Dumnonia is one of the competitive insurance corporations in
Australia, and it insures an enormous population. The organization must keep information for all
that population as Big Data hosted in their machine. The organization offer medical insurance
among other various types of insurance. As such, the information for the organization’s
customers including identification numbers, payment details as well as the information
concerning health are kept in the system. The corporate’s CEO is so much concerned about the
security of these sensitive information as well as the organization assets which is a very critical
aspect as the Big Data has medical related data and the information about the organization’s
customers. This initiative will instill full confidence among the organization clients and
employees.
This document has presented a discussion on certain aspects regarding analysis of data as
well as security and privacy related matters. The organization has an out dated security system
like the IDS and Firewall. The corporate also use organizational technologies including malware
protection, encryption and use of password for reducing security risks. The corporate, is however
unsure of the critical aspects of protecting their big data system. They depend on SDN as the
security solution for their big data. The Big Data grows with increase in the public cloud.
Therefore, the traditional security approaches are mainly used by the private sectors. Dumnonia
is a big organization that should not depend on the traditional security solutions, hence it would
put its sensitive data at risk.

A report Secondary and Primary Issues in Analytics - Dumnonia Corporation 3
The organizational Drivers for Dumnonia corporate relating to the implementation of k-
anonymity
Dumnonia is a large corporation that provides insurance services in a wide ranging
domain. The population of the organization customers are increasing. Also, being that Dumnonia
is a big corporate that operates in two countries it has a large volume of data, the corporates big
data is currently expanding and there are challenges concerning privacy that are associated to
such expanding big data. This therefore act as a driver towards the adoption of k-anonymity
approach by Dumnonia Corporate. K-anonymity will is a method which anonymize data fields of
an organization big data system such that private data does not get pinpointed to the records of
an individual.
The organization’s data management system is a traditional organization based system,
they use organizational warehouse, links for their clients through mobile application access or
website. Additionally, the organization has a policy that should be fit its customers so as to keep
their customers happy. This cannot be achieved when its customer’s privacy is under risk. The
corporate also need to gain a competitive advantage by exploiting their data (Ye, Cheng, Yuan,
Xu, Gao, and Cheng, 2016, pp. 268-272; Wu, Zhu, Wu, and Ding, 2014, pp.97-107). For
example, if they know that their customers are in a given postcode, i.e. the customer experience
some issues regarding privacy, the corporate should launch new privacy preservation strategies
i.e. their new big data approach. By this approach, the organization customers will be happy and
healthier as there will be no more security concerns. This is another necessity that drives
Dumnonia towards the implementation of k-anonymity approach.

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The Technology Solution Assessment
This section presents the corporates drivers concerning the implementation of k-
anonymity. The discussion will be done on basis of the three interviews as shown.
Interview 1
Dumnonia considerably invested in the current IT system. The organization has Cloud
system, customer based web portals and mobile applications which are developed for its
customers. In the face of the ever swelling organisation’s data, it is worth noting that the
corporate has made a critical step towards their dream. Cloud system has become the perfect
vehicle for housing the big data workloads and many organizations have been successful with it
(Hashem, Yaqoob, Anuar, Mokhtar, Gani, and Khan, 2015, pp.98-115). Nevertheless, using big
data and cloud system is associated with various challenges.
Cloud system is subject to security and privacy breach and privacy breach has side effects
which may highly cost Dumnonia. As such, implementing k anonymity approach will play a
critical role concerning system security. Besides, Dumnonia also has a dedicated third party
support from their IT partners in India. They organization however need to be aware that privacy
of its customers should be preserved before they publish big data to their third party. There are
two privacy objectives that are achieved while the big data is anonymized. These include unique
identity closure and sensitive identity attribute closure (Daries et al. 2014, pp.94). Therefore
coupling k anonymity with the cloud and big data system is the route of execution for the
organization in achieving its privacy for its customers. Dumnonia is not yet up to date as far as