IT Infrastructure Management

Running head: IT INFRASTRUCTURE MANAGEMENT
IT Infrastructure Management
Name of the Student
Name of the University
Author’s Note:

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IT INFRASTRUCTURE MANAGEMENT
Table of Contents
Question 1..................................................................................................................................2
Question 2..................................................................................................................................4
Question 3..................................................................................................................................6
References..................................................................................................................................7

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IT INFRASTRUCTURE MANAGEMENT
Question 1
Definition and Explanation of the Concept of Terminologies
i) The Power of Competitive Advantages: Competitive advantages are the favourable
positions that a company seek for being more profitable than their competitors. For gaining as
well as maintaining competitive advantages, the respective company should have the ability
for demonstrating a better comparative value than the competitors even before conveying the
confidential information to their desired market (Kabir, Sadiq & Tesfamariam, 2014). The
power of competitive advantages is quite high since it helps in bringing the organization in a
better position.
ii) Data Discovery: Data discovery can be defined as the proper collection or analyses
of datum from several sources for gaining subsequent insights from the hidden trends and
patterns. It is the first phase in complete harness of the organizational data for informing
critical business related decision. With the help of this process, data collection and analysis is
much easier in a sequential manner.
iii) Data Marts: Data marts are the subsets of data warehouse that is being oriented to
a business line (Maurer, Brandic & Sakellariou, 2013). These data marts comprise of the
repositories for summarized data that are gathered for effective analysis in any sector or
department of a company, like sales department.
iv) Text Analytics and Mining: Text analytics and mining can be defined as the
procedure to examine large collection of every written resource for successful generation of
new information and even for transformation of the unstructured texts into structured datum
for future utilization or analyses.