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Business Intelligence in Internet of Things

   

Added on  2023-06-04

22 Pages6123 Words396 Views
Data Science and Big DataArtificial Intelligence
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Running head: BUSINESS INTELLIGENCE IN INTERNET OF THINGS
Business Intelligence in Internet of Things
Name of the Student
Name of the University
Author’s note
Business Intelligence in Internet of Things_1

1BUSINESS INTELLIGENCE IN INTERNET OF THINGS
Table of Contents
1. Introduction..................................................................................................................................2
1.1 Introduction to the Problem and Domain..............................................................................2
2. Literature Review........................................................................................................................4
2.1 The Present State of IoT in Business Intelligence.................................................................4
2.2 Importance of IoT within Business Intelligence....................................................................6
2.3 Benefits of Business Intelligence Technologies in IoT Frameworks....................................7
2.4 Opportunities for the Integration of Business Intelligence and IoT......................................8
3. Annotated Bibliography...............................................................................................................9
4. Research methodology...............................................................................................................12
5. Future Research.........................................................................................................................13
6. Conclusion.................................................................................................................................14
7. Recommendations......................................................................................................................15
8. References..................................................................................................................................17
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Abstract
This report helps in focusing on the various kinds of concepts that are majorly used in Internet of
Things (IoT) and their relation with Business Intelligence (BI) technologies. The research on this
study helps in focusing on the impact of business intelligence and the various kinds of
relationships among both of these platforms. The study is based on the collection of IoT enabled
data and the roles they play in enhancing the quality of life of the people who are involved with
the use of these kinds of these form of technologies. The research is based on the study of the
data collected by the IoT enabled devices. This data could be processed with the help of Business
Analytics or with the use of Business Intelligence technologies. The different forms of impact
based on the IoT enabled data would be needed for understanding the types of analysis based on
the Business Intelligence technologies. With the rise of different forms of platforms based on IoT
connected devices, there have been also a major rise of the need based on the analysis of data.
The report helps in discussing about problem statement that focuses on the relation within
business intelligence and their links with the IoT framework. The report also focuses on the
various challenges within the concerned domain and also provides different forms of
recommendations for the sector.
1. Introduction
1.1 Introduction to the Problem and Domain
In the recent times big data analytics, business intelligence and the IoT enabled technologies
have gained a significant amount of focus in the recent times. These have become the vast form
of trending topics that have been the major form of discussion among the researchers (Riggins &
Wamba, 2015). The rise of smart environment within the business has majorly evolved in the
recent years. This form of environment majorly consists of smart devices that are able to transmit
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real-time data with the help of smart form of networks. The making of various forms of decisions
within the business platforms is a high need in this age.
The making of different forms of decisions is facilitated with the help of greater form of
accuracy. This data would be coupled with the help of relevant form of information. The
improvement in the processes of making of decisions based on business intelligence would help
in the critical form of making decisions within the business processes (Lee & Lee, 2015). The
rise of Business Intelligence with the aid of IoT enabled devices have gained a major form of
importance within various larger organizations. The right form of making of decisions is very
much helpful for the successful form of implementation within the processes of businesses. The
real time analytics and processing of the data would be meaningful for the successful
implementation of work within the business processes. The current form of data would be
helpful in validating the relevance of the data (Shrouf, Ordieres & Miragliotta, 2014).
The structure of the report would help in focusing about the different literatures, which would
focus in understanding about the current structure use of Business Intelligence and their relation
with the IoT based devices. The IoT connected devices would help in gathering a vast form of
data from various sources (Kumar, J. S., & Patel, 2014). This form of data would be based within
the context of the business within various sectors. The study helps in the knowledge about the
ways in which this data would help for improving the business processes and thus help in
promoting the context of the business. Further research within the article would be helpful in
summarizing about the facts in which the challenges within the sector would be mitigated with
the proper form of measures within the context of business with the impact of IoT technology.
The research focuses on the work of different authors and the research that have been conducted
by them. This helps in understanding the ways in which the use of business intelligence would be
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helpful for providing fast form of business decisions (Höller et al., 2014). Hence from the gained
insights from the various discussion, there have been several kinds of recommendations that have
been discussed for the betterment of the use of the technology.
2. Literature Review
2.1 The Present State of IoT in Business Intelligence
The Internet of Things (IoT) could be defined as a form of interconnected devices and various
forms of platforms. These kind of platforms would be embedded with different high
technological based sensors, software and would also have high form of network connectivity.
This would be helpful in enabling the objects for the purpose of collecting vast form of business
related data (Romero & Vernadat, 2016). The collected data would be meant for exchanging
without the physical need of human-to-computer or human-to-human based interaction. Based on
the current state of the impact of IoT within the business platforms, it has been understood that
the use of IoT within the business environment would be helpful for increasing the efficiency
within the business processes and thus be helpful for making various kinds of business related
decisions.
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(Fig 1: Planning of BI with the Impact of IoT in Companies)
The research within the field have focused on the impact of Predictive Analytics technology and
the related concepts. The use of predictive analytics technology helps in the use of different
kinds of techniques such as the use of statistics, machine learning, modelling and simulation,
artificial intelligence and data mining based concepts. These kind of concepts help in the making
of vast form of critical decisions and business procedures for the benefits of the business
(Gandomi & Haider, 2015).
There is also another form of process based within this domain, which is known as prescriptive
analytics within the domain of IoT. The use of prescriptive analytics would help in prescribing
different forms of solutions based within the context of business processes (Abomhara & Køien,
2014) This form of analytics would help in determining that whenever a system would be prone
to get hacked or attacked by different vulnerabilities, the computing systems would
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