Automated Data Analysis: Literature Review Report for Business

This report provides a literature review on automated data analysis, focusing on its concept, role, and techniques. It begins by defining automated data analysis and highlighting its importance in improving work quality, saving time, and aiding effective decision-making within a company. The report then explores the significance of automated data processing in ensuring data security, efficient information management, and improved business productivity. The final section details various techniques employed in automated data processing, including Electronic Data Processing (EDP), distributed processing, batch processing, online data processing, real-time processing, and remote batch processing. The report references several academic sources to support its arguments and provides an overview of the advantages of automation, such as resource reduction and reduced cycle time.

Automated data analysis

Table of Contents
LITERATURE REVIEW................................................................................................................1
Concept of automated data analysis.......................................................................................1
Role and importance of automated data processing in the company.....................................1
Techniques which used in the automated data processing ....................................................2
REFERENCES................................................................................................................................5

LITERATURE REVIEW
Concept of automated data analysis
According to the view of Abdillah, (2014) automated data analysis is the creation and
implementation of technology that automatically processes data and information. In order to
implement this automated data processing method within the company, firm required effective
and impressive technology like computer, other communication electronics which help in
collecting, storing, manipulate, prepare and distribute information. The major objective of this
automated data processing method is managed the large amount of information within minimum
human resource interaction and share it within the people. In the present time, there are various
automated data processing application such as broadcast signals, emergency weather advisories,
campus security update etc. In the opinion of Bilbao-Osorio, Dutta and Lanvin, (2013)
automated data analysis and processing helps to the organisation in improving the quality of
work and accomplish all task within a limited period of time. It helps in saving the time by
provide the information within the limited time period. Management can able to take the
effective decision on the time and use information for the organisation objective. As per the
view of Borghoff and Pareschi, (2013) automated data analysis helps to the corporation in
delivering the effective solution of the business problems and issues. In addition to this,
management can effectively survive its all business activities and function with help of
automated data analysis because with help of this method company can improve its entire
operation and exchange information in an effective manner.
Role and importance of automated data processing in the company
According to the view of Bulgurcu, Cavusoglu and Benbasat, (2010) within the
organisation , there is huge importance of automated data analysis in the business enterprise by
which company can easily keep secure and safe its data and information about the business by
help of electronic mediums and software. This helps to the company in manage the large amount
of information about the business and meet organisation objective in an effective manner.
Corporation can frequently transfer, store, manipulate and communicate the information and data
from one department to another department. As per the view of Tallon and Pinsonneault,
(2011)All workforce can effectively deliver their information to each other by help of various
technique's ad tools of the automated data processing. According to the view of Davenport,
(2013) automated data processing and analysis help in improving the business productivity and
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quality of work because within minimal time period all information can easily transfer, stores
and keep safe and secure within the company. Management can effectively deliver the right and
correct information to the customer at the right time with help of automated data analysis.
According to the view of Mookerjee, Mookerjee, Bensoussan and Yue, (2011) with help of
automated data analysis, analyst can able to compiles information from multiple sources, such as
databases, spreadsheet and paper report. Within the company quality and compliance can
improve with help of automated data analysis. In this processing, there are various kinds of
application can use such as broadcast signals, emergency weather advisories, campus security
update, excel for tabulating the data, separate stand-alone application for statistical analysis. This
all techniques helps to the company in taking the right and accurate decision on the time.
Management can filter all information in an effective manner and make effective decision
making. In the opinion of Galliers and Leidner, (2014) reduction in the resources is also one of
the benefit of the automation. With assistance of the automation, company can reduce the
additional resource which required within the company for processing business operation. It
helps in overcome the additional expenditure within the company because all business process
can proceed with use of limited resources. As per the view of Jerman-Blažič and Tekavčič,
(2012) time is another major benefit of the automation. Reduced cycle time is another one of the
advantage of the automated data analysis in the organisation. Company can save the time in the
processing of business by help of automated data analysis and processing method.
Techniques which used in the automated data processing
As per the view of Mookerjee, Mookerjee, Bensoussan and Yue, (2011). Electronic data
processing (EDP) is applied in the organizations in which data is processed through computers.
In this technology instructions are given in particular input language and then computer
translates these instructions into valid output. It is considered as fast and reliable technique.
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Illustration 1: EDP technique
According to Pearlson, Saunders and Galletta, (2016) automated data processing are
helpful devices that helps in processing necessary information accurately and with speed.
Companies take support of various computers, advanced software in order to process their
necessary details. Distributed processing is the most effective techniques for automated data
processing. According to Laudon and Laudon, (2011)It is implemented by most of the
organization in the modern era. Companies which are performing as remote workstations used
this tool for automated data processing within workplace. These machines run on a fixed
software and with the help of this software companies can get information easily. It is the
method in which forms and documents can be circulated to all departments quickly.
Sittig and Zuckerberg, Facebook, Inc., (2010) stated that batch processing is the best way of
automated data processing. In this technique management store information into groups and
according to the sequence these details are processed. In the online data processing method
companies require internet and equipments of the workplace are attached with computers. Real
time processing is another method which is general used by most of the organization. According
to Sittig and Zuckerberg, Facebook, Inc., (2010) In this method advanced technologies are used
which have ability to give immediate response to various signals. With the help of real time
processing method data can be processed soon.
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As per the view of Davenport, (2013) remote batch processing is the method of
automated data processing in which data is entered into the computer and edition is being done
online. Management collects these details into batches and subsequently processed these relevant
information to different departments of the corporation Galliers and Leidner, (2014) stated that
mechanical data processing is the automated data processing technique in which all relevant data
are processed by the management by taking support of various devices such as printers,
typewriters. It is considered as fast and more accurate method because in this technique chances
of occurring errors are minimum. But now-a-days advanced software are here due to which this
type of processing techniques are not that much in use in the organizations.
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REFERENCES
Books and Journals
Abdillah, L.A., 2014. Managing information and knowledge sharing cultures in higher
educations institutions. arXiv preprint arXiv:1402.4748.
Bilbao-Osorio, B., Dutta, S. and Lanvin, B., 2013, April. The global information technology
report 2013. In World Economic Forum (pp. 1-383).
Borghoff, U.M. and Pareschi, R. eds., 2013. Information technology for knowledge
management. Springer Science & Business Media.
Bulgurcu, B., Cavusoglu, H. and Benbasat, I., 2010. Information security policy compliance: an
empirical study of rationality-based beliefs and information security awareness. MIS
quarterly. 34(3). pp.523-548.
Davenport, T.H., 2013. Process innovation: reengineering work through information
technology. Harvard Business Press.
Galliers, R.D. and Leidner, D.E., 2014. Strategic information management: challenges and
strategies in managing information systems. Routledge.
Jerman-Blažič, B. and Tekavčič, M., 2012. Managing the investment in information security
technology by use of a quantitative modeling. Information Processing & Management.
48(6). pp.1031-1052.
Mookerjee, V., Mookerjee, R., Bensoussan, A. and Yue, W.T., 2011. When hackers talk:
Managing information security under variable attack rates and knowledge dissemination.
Information Systems Research. 22(3). pp.606-623.
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