IT Infrastructure Management PG

The assignment covers various topics related to IT infrastructure management, such as record management, business intelligence, data mining, text mining, big data analytics, enterprise architecture, and cloud computing. The document provides a detailed analysis of each topic, including their benefits, challenges, and best practices. It also emphasizes the importance of data governance and security in these contexts. Overall, the assignment aims to provide a comprehensive understanding of IT infrastructure management concepts and their applications.

Running head: IT INFRASTRUCTURE MANAGEMENT PG
IT Infrastructure Management PG
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IT INFRASTRUCTURE MANAGEMENT PG
Table of Contents
Answer 1..............................................................................................................................2
Answer 2..............................................................................................................................3
Answer 3..............................................................................................................................4
Answer 4..............................................................................................................................4
Answer 5..............................................................................................................................5
References............................................................................................................................7

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IT INFRASTRUCTURE MANAGEMENT PG
Answer 1
 Record management is a process of systemic creation, control and maintenance of the
records including the process of capturing and maintaining the evidences of different
business activities and associated business transaction. This entire process when done
over an integrated digital device, the process is termed as electronic record management.
 Business intelligence or BI refers to the technologies and application for collection,
integration and analysis of the vital business information. The major purpose of business
intelligence is to support a better decision making process of an organization. Business
intelligence and analytics is a process of methodical exploration of the vital data of the
organization.
 Data mining is a process of analysing a large and a pre existing database for unveiling the
hidden patterns in the data sets and generating new information. It is an intelligent
method of extracting the necessary information for execution of proper business
processes. Text mining is a systemic process if deriving a particular information from an
unstructured data format or text (Witten et al., 2016). Both data mining and text mining
provides business value to a particular organization.
 Big data analytics mainly deals with the process of examining a large number of varied
data sets. This process helps in uncovering the different business patterns such as
customer preferences and market trends (Evans & Lindner, 2012). Data discovery is
mainly related to the technology of business intelligence and is a process of collection of
data from various databases and consolidating the same in a single source data.

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IT INFRASTRUCTURE MANAGEMENT PG
 Enterprise architecture is a process of developing a unified IT environment across an
organization (Lapalme, 2012). This system maps the present IT assets and different
business processes across the organization.
 Management information system refers to the study of different people, technology and
organization with the help of a computer system that consist of the hardware and software
(Laudon & Laudon, J2016). These systems form the backbone of an organization’s
operation. The main purpose of implementing a management information system is to
improve the decision making ability of an organization in terms of finance, inventory,
marketing and raw materials.
 Data life cycle gives a detailed information about the different phases that a data
undergoes from its inception to deletion. The different phases of data life cycle include
data capture, data maintenance, Data synthesis, Data usage, Data publication, data
archival and data purging or deletion. Data principles outline the process of responsible
use of data within an organization.
 Cloud computing can be defined as an on demand delivery of the computing services
including database storage and different computing application. One of the major benefits
of cloud computing is that the data stored over cloud can be accessed via internet (Chen,
& Zhao, 2012). In order to make use of the cloud storage, the customer need not have to
set up software or complex hardware into an organization as all these processes can be
taken care of by the cloud vendor.
Answer 2
The process of data mining and text mining helps in discovering different patterns and
relationships between the data that facilitates the decision making ability of an organization. Data

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IT INFRASTRUCTURE MANAGEMENT PG
mining and text mining not only helps in understanding the market trends and customer
preferences, it further helps in analysing the different business needs (Wu et al., 2014).
Evaluation of different information obtained as a result of text mining and data mining helps in
identifying the different risks a business might face and also helps in selection of a proper risk
mitigating approach (Kambatla et al., 2014). One of the major advantages of data mining and
text mining is that, it helps in developing smarter marketing campaigns and further helps in
predicting the customer loyalty accurately. Therefore, it can be said that, data mining and text
mining brings a lot of business value to the organization.
Answer 3
Cloud computing is a concept that is widely being adopted by majority of the business
organization as it not only improves the data access but also helps in saving a lot of physical
space. However, there are certain problems associated with cloud computing, out of which the
problem of data breach and threat from an insider is most prominent (Zissis & Lekkas, 2012).
Since cloud computing deals with the storage of data over internet, the whole system is prone to
cyber attacks and corresponding data loss. Furthermore, since cloud computing is a service that
is provided by a third party vendor, there is a corresponding risk of data loss.
These problems can however be mitigated by adoption of proper security process. Cyber
attacks can be prevented by data encryption and use of authorization and authentication can
further help in removing the risk of unauthorized data access.
Answer 4

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IT INFRASTRUCTURE MANAGEMENT PG
 The Executive Information System or an EIS was implemented so that the senior
managers of the organization can have a detailed knowledge about the Key Performance
indicators that are relevant to the specific needs of the business.
 One of the significant problems that the executive had with the newly implemented EIS
of the organization is that only half of the needed data was available in times of need.
 The two significant reasons of the problem was that the system architecture was not
designed for customized reporting and the interface of the system was complicated as
well.
 The CIO designed and implemented a new EA as a solution to the problem and to
improve the EIS.
 The new system architecture was business driven instead of the previously developed
financial reporting driven system and it is one of the major benefits of the new
architecture.
 The inconsistency in data entry and data analysis can be prevented by proper data
governance and it is one of the major benefits of data governance.
Answer 5
 Processing of the POS data in real time was essential for Coca Cola for saving a
considerable amount of time of searching and analysing the large volume of data
possessed by Coca Cola.
 With an attempt to create a favourable customer experience, the Coca Cola changed its
business approach from decentralized database to a centralized database as it will helps in
proper analysis of the customers’ requirements.

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IT INFRASTRUCTURE MANAGEMENT PG
 Having a trusted view of data is essential for developing an accurate business strategy
that will help the organization to respond to the changes in customer and market
condition quite readily.
 Black book model is an application that consists of combination of 600 flavours that
makes orange juice.
 Black Book model helps in preparing orange juice of consistent flavour throughout the
year, which is its major benefit.

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IT INFRASTRUCTURE MANAGEMENT PG
References
Chen, D., & Zhao, H. (2012, March). Data security and privacy protection issues in cloud
computing. In Computer Science and Electronics Engineering (ICCSEE), 2012 International
Conference on (Vol. 1, pp. 647-651). IEEE.
Evans, J. R., & Lindner, C. H. (2012). Business analytics: the next frontier for decision
sciences. Decision Line, 43(2), 4-6.
Kambatla, K., Kollias, G., Kumar, V., & Grama, A. (2014). Trends in big data
analytics. Journal of Parallel and Distributed Computing, 74(7), 2561-2573.
Lapalme, J. (2012). Three schools of thought on enterprise architecture. IT
professional, 14(6), 37-43.
Laudon, K. C., & Laudon, J. P. (2016). Management information system. Pearson Education
India.
Witten, I. H., Frank, E., Hall, M. A., & Pal, C. J. (2016). Data Mining: Practical machine
learning tools and techniques. Morgan Kaufmann.
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.
Zissis, D., & Lekkas, D. (2012). Addressing cloud computing security issues. Future
Generation computer systems, 28(3), 583-592.