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Electronic Record Management

   

Added on  2021-04-24

7 Pages1491 Words230 Views
Data Science and Big Data
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Running head: IT INFRASTRUCTURE MANAGEMENT PGIT Infrastructure Management PGName of the StudentName of the UniversityAuthor Note
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1 IT INFRASTRUCTURE MANAGEMENT PGTable of ContentsAnswer 1..............................................................................................................................2Answer 2..............................................................................................................................3Answer 3..............................................................................................................................4Answer 4..............................................................................................................................4Answer 5..............................................................................................................................5References............................................................................................................................6
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2 IT INFRASTRUCTURE MANAGEMENT PGAnswer 1Electronic record management can be defined as a process of managing and storingrecords over internet. It can make use of a set of computer programs for managing storingand maintenance of the records. It makes use of automated techniques in managing thedifferent types of records, regardless of its format. It considerably reduces the efforts ofdata search and data processing and considerably saves time, money and physical storagespace. Business intelligence analytics makes use of different strategies for analysing thedifferent business information. Business intelligence provides a historical, current andpredictive view of different business operations running within an organization. It refersto the technology and application for integration and analysis of different businessinformation, which in turn support better decision-making (Chen, Chiang & Storey,2012). Data mining refers to the concept of sorting through a large number of data set in order toidentify the patterns to solve complex problems (Wu et al., 2014). Text mining on theother hand refers to the process of sorting through the unstructured data for deriving ahigh quality of information from text. Both data mining and text mining helps inunderstanding the customer’s behaviour and recent trend in business. The process of examining a large quantity of data called big data can be termed as bigdata analytics. Big data discovery can further be referred to the next level of self serviceanalytics for leveraging and using the big data resources. Data discovery is a businessoriented process for detecting the patterns of advanced analytics. It is an iterative process
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