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IT Infrastructure Management PG - Doc

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Added on  2021-04-21

IT Infrastructure Management PG - Doc

   Added on 2021-04-21

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Running head: IT INFRASTRUCTURE MANAGEMENT PGIT Infrastructure Management PGName of the StudentName of the UniversityAuthor’s Note:
IT Infrastructure Management PG - Doc_1
1IT INFRASTRUCTURE MANAGEMENT PGTable of ContentsQuestion 1..................................................................................................................................2Question 2..................................................................................................................................3Question 3..................................................................................................................................4Question 4..................................................................................................................................5Question 5..................................................................................................................................6References..................................................................................................................................8
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2IT INFRASTRUCTURE MANAGEMENT PGQuestion 1i) Electronic Records Management (ERM): ERM system is the set of computerprograms that are solely designed for the purpose of tracking as well as storing records. Thissoftware could be utilized for creating and maintaining records. ii) Business Intelligence (BI) and Analytics: BI is comprised of various technologiesand strategies that is utilized by all the organizations for the analysis of their data andbusiness information (Chang, 2014). Business analytics refer to any type of practices, technologies as well as skills for theconstant iterative investigation and exploration of previous business performance for gaininginsight and driving business planning.iii) Data and Text Mining: Data mining is the practice of testing huge previouslyexisting databases for generating new information. Text mining is the process of obtaining higher quality of information from text (Wu etal., 2014). These information are derived by various means like statistical pattern learning. iv) Big Data Analytics and Data Recovery: The procedure of testing huge as well asvaried sets of data, big data for uncovering the hidden patterns, customer preferences,unknown correlations and other important information can be termed as big data analytics.Data recovery is the procedure of retrieving any type of corrupted, formatted, lost,damaged or inaccessible data from removable media or secondary storage (Witten et al.,2016). This is done only when data could not be retrieved normally.
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