Comprehensive Report on IT Infrastructure Management PG

This report provides an in-depth analysis of IT infrastructure management, encompassing various key areas. It explores electronic record management, business intelligence and analytics, data and text mining, big data analytics, and data discovery. The report also delves into enterprise architecture, management information systems, data lifecycle, and cloud computing. Furthermore, it examines the application of data mining and text mining in decision-making, the challenges and solutions associated with cloud computing, and the role of executive information systems. The report also covers the importance of POS data and the benefits of a centralized approach. The report also discusses the Black Book model. The report covers the benefits of a centralized approach to customer queries. This report provides a comprehensive overview of IT infrastructure management concepts and applications.

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

1
IT INFRASTRUCTURE MANAGEMENT PG
Table of Contents
Answer 1..............................................................................................................................2
1.1. Electronic Record Management...............................................................................2
1.2. Business Intelligence and Analytics.........................................................................2
1.3. Data and Text Mining...............................................................................................2
1.4. Big Data analytics and Data Discovery....................................................................2
1.5. Enterprise Architecture.............................................................................................3
1.6. Management Information Systems...........................................................................3
1.7. Data Life cycle and Data principles..........................................................................3
1.8. Cloud Computing......................................................................................................3
Answer 2..............................................................................................................................3
Answer 3..............................................................................................................................4
Answer 4..............................................................................................................................4
Answer 5..............................................................................................................................5
References............................................................................................................................7

2
IT INFRASTRUCTURE MANAGEMENT PG
Answer 1
1.1. Electronic Record Management
The use of computer systems in recording and managing and information or data set can
be termed as electronic record management. The system that manages the record electronically is
called electronic records management. Electronic record management is a computer program
used for tracking and storing records
1.2. Business Intelligence and Analytics
Business Intelligence and analytics deals with the practise of making use of data to make
a better business decision. Business Intelligence refers to the information that is required for
enhancing the decision making activities in business while data analytics can be described as
process of modifying raw data into a meaningful format so that it can be used for business
decision making activities.
1.3. Data and Text Mining
Data mining is described as a way of identifying the patterns in huge data sets that
includes the use of machine learning, statistics and different database systems (Wu et al., 2014).
Text mining is discussed as a process that explores and analyses a large number of data which
are in a text format. Text mining only examines the collection of written resources.
1.4. Big Data analytics and Data Discovery
The process that involves examination of large and varied data sets can be termed as big
data analytics (Isik, Jones & Sidorova, 2013). The big data analytics uncover hidden patterns and
unknown correlation among the data sets which is known as data discovery.

3
IT INFRASTRUCTURE MANAGEMENT PG
1.5. Enterprise Architecture
It can be described as a well defined practise that is used for conducting enterprise
analysis, design, planning and implementation. This conceptual blue print defines the structure of
an organization (Simon, Fischbach & Schoder, 2014). Enterprise architecture helps in
ascertaining the process or the technique that can be used by an organization in managing the
future objectives and goal of the enterprise quite effectively.
1.6. Management Information Systems
It is a computerized database, organized and programmed in a manner such that it
produces a detailed report based on the operation of each level of a company (Laudon & Laudon,
2016). It is mostly used as a managerial decision making tool.
1.7. Data Life cycle and Data principles
Data life cycle can be described as an overview of each stage that is involved with the
preservation and management of data. Data principles ensures that the integrity and the
availability of the data is maintained while preservation and management of the data. There are
six data protection principles which are related to lawfulness, fairness and transparency of data
stored.
1.8. Cloud Computing
The process of delivering the cloud computing services through servers, storage, network
analytics which provides a easy access to the pool of resources and data that can be easily
configured (Dinh et al., 2013). It requires minimal management and can be rapidly provisioned.
Answer 2

4
IT INFRASTRUCTURE MANAGEMENT PG
Data mining discovers different patterns in a hige data set which in turns act as a decision
making tools. Test mining uncovers hidden patters from a huge number of unstructured text data
that solves the decision making problems in a business to a large extent (Mostafa, 2013). Thus it
helps a business in accurate decision making and further contributes to the development of
business strategies, thus adding to the business value.
Answer 3
Cloud computing is a widely used approach from resource management over internet;
however, there are certain issues associated with cloud computing that is needed to be addressed.
For example, there is certain issues in making use of public cloud mainly because its data is
publicly available and therefore it has a risk of data breach (Hashizume et al., 2013). Preserving
the data confidentially is one of most significant problems faced by cloud computing. Apart from
that, cloud computing has certain risks associated with lack of data control as the cloud vendors
might have a direct access to the data stored.
The security issues associated with cloud can be mitigated by making use of encryption
and private cloud while the problem of lack of data control can be mitigated by choosing a
trusted vendor (Arora, Parashar & Transforming, 2013).
Answer 4
a) The executive information system was mainly designed to offer the senior managers
with data (both internal and external) to have an access to the key performance indicators.
b) The executives faced some serious problems with the EIS as the new EIS gave an
access to only half of the data. Furthermore the data was not when it was required the most.

5
IT INFRASTRUCTURE MANAGEMENT PG
c) The two main reasons behind the problems faced by the EIS are that the system was
not processed for customization in the reporting process. Coupled with that, the system had a
complicated user interface.
d) For imporving the EIS, the CIO made use of task force for implementation of a new
system. The CIO made the new system business driven instead of the previous version which
was financial reporting driven.
e) The benefit of the newly developed architecture was that the modification process of
data was easy and it needed a fewer IT resources that is generally used for maintaining a system.
f) Data governance eliminates the data inconsistency and provides the KPI report which
are considerably reliable and are associated with the cycle times, profit margins and inventory
turns.
Answer 5
a) It is necessary for coca cola to process the POS data as it enables the company to get
an idea of the customers’ needs and preferences.
b) In lieu of the decentralized approach, coca cola switched to a centralized approach in
addressing the customers’ queries and to create favourable customers’ experiences
c) The advantage of having a trusted view of data is that it helps in developing the
accurate business processes and further helps in responding the required changes in an accurate
manner.
d) The Black Book model can be described as a decision making tools and a system that
stores the details of almost 600+ different flavours.

6
IT INFRASTRUCTURE MANAGEMENT PG
e) One of the most significant benefits of Black Book model is that it enables producing
orange juice of the set flavour throughout the entire year. The Black Book model specifies the
process by which the orange juices of a set flavour can be made.

7
IT INFRASTRUCTURE MANAGEMENT PG
References
Arora, R., Parashar, A., & Transforming, C. C. I. (2013). Secure user data in cloud computing
using encryption algorithms. International journal of engineering research and
applications, 3(4), 1922-1926.
Dinh, H. T., Lee, C., Niyato, D., & Wang, P. (2013). A survey of mobile cloud computing:
architecture, applications, and approaches. Wireless communications and mobile
computing, 13(18), 1587-1611.
Hashizume, K., Rosado, D. G., Fernández-Medina, E., & Fernandez, E. B. (2013). An analysis of
security issues for cloud computing. Journal of internet services and applications, 4(1),
5.
Isik, O., Jones, M. C., & Sidorova, A. (2013). Business intelligence (BI) success and the role of
BI capabilities. Decision Support Systems, 56(1), 361-370.
Laudon, K. C., & Laudon, J. P. (2016). Management information system. Pearson Education
India.
Mostafa, M. M. (2013). More than words: Social networks’ text mining for consumer brand
sentiments. Expert Systems with Applications, 40(10), 4241-4251.
Simon, D., Fischbach, K., & Schoder, D. (2014). Enterprise architecture management and its role
in corporate strategic management. Information Systems and e-Business
Management, 12(1), 5-42.
Wu, X., Zhu, X., Wu, G. Q., & Ding, W. (2014). Data mining with big data. IEEE transactions
on knowledge and data engineering, 26(1), 97-107.