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Infrastructure Management of IT

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Added on  2023-06-07

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This study material covers the concept of Infrastructure Management of IT, including Electronic Records Management, Business Intelligence, Data Mining, Cloud Computing, and more. It also discusses the challenges and benefits of these technologies in different industries.

Infrastructure Management of IT

   Added on 2023-06-07

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Running head: INFRASTRUCTURE MANAGEMENT OF IT
Infrastructure Management of IT
Name of the Student
Name of the University
Author’s note
Infrastructure Management of IT_1
1INFRASTRUCTURE MANAGEMENT OF IT
1. Question 1
1.1 - An Electronic Records Management (ERM) system could be defined as a form of
computer program that are mainly designed for tracking and storing of records (Svärd, 2013).
1.2 – Business Intelligence (BI) and Analytics could be defined as a broad set of
applications based on the analysis of data that would include querying and analytics, processing
of online analytics, enterprise reporting and various other functions.
1.3 – Data mining could be defined as the different processes of sorting of the larger sets
of data for the purpose of identification and establishing different kinds of relationships for the
purpose of solving problems with the help of data analysis. Hence data analysis could allow the
enterprises for predicting the future trends (Witten et al., 2016).
Text Mining is defined as the vast process of exploring and thus analyzing the large
forms of unstructured form of text data that would be aided with high quality software.
1.4 – Data discovery and big data analytics could be defined as the process of enabling of
iterative data that would be scalable that would be guided with the help of data mining and
advanced analytics (Gandomi & Haider, 2015).
1.5 – Enterprise Architecture (EA) could be defined as the conceptual form of blueprint
that would be able to provide a definition to the structure and the operations within the business
processes. The EA is meant for the determination the performance of an organization based on
current and future based objectives.
1.6 A Management Information System (MIS) could be defined as a form of
computerized database based on organized financial information. It is programmed in such a
Infrastructure Management of IT_2
2INFRASTRUCTURE MANAGEMENT OF IT
manner for producing regular reports based on several operations for each of the level of
management (Laudon & Laudon, 2016).
1.7 – Data Life Cycle Management could be defined as an approach based on policy in
order to manage the flow of information throughout the life cycle of the data.
1.8 – Cloud Computing could be defined as a pool of services that would be sharable
within the configuration of resources within the computer system. These form of computing
services make use of storage databases and servers.
2. Question 2
The data and text mining are defined as the automated forms of techniques based on
analytics. This sector is becoming increasingly important for different forms of research sectors.
At the commercial level, the data and text mining provides several value for extracting value
from the gathered data, which could provide various value for businesses. Hence it allows
businesses for making proactive decisions based on vast form of knowledge (Mostafa, 2013).
3. Question 3
Some of the problems that are associated with the use of cloud computing are based on
security measures and standards. Storing of data without the lack of proper form of encryption or
the lack of multi-factor authentication in order to access information to services.
The problem of encryption could be solved with the implementation of proper form of
cryptographic standards within the cloud computing environment (Hashizume et al., 2013).
Infrastructure Management of IT_3

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