Analyzing Business Intelligence Applications in Internet of Things

This report explores the relationship between Business Intelligence (BI) technologies and the Internet of Things (IoT). It focuses on the impact of BI on IoT-enabled data and its role in enhancing the quality of life. The research examines data collected by IoT devices and how it can be processed using Business Analytics or BI technologies. It discusses the problem statement concerning the link between BI and the IoT framework, addresses challenges within the domain, and provides recommendations for the sector. The study reviews literature on the current state of IoT in business intelligence, its importance, benefits, and opportunities for integration, highlighting the role of predictive and prescriptive analytics. The collaboration of business intelligence and IoT would be helpful for detection of anomaly.

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

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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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automatically be able to protect and secure themselves from those vulnerabilities (Delen &
Demirkan, 2013). This would be highly necessary for avoiding the different forms of risks.
(Fig 2: Number of Applications using Business Intelligence)
The use of IoT with the impact of both prescriptive and predictive form of analytics would be
helpful for determining the work within the business sector. Furthermore, the research within this
aspect would be helpful for completely relying on scheduled form of maintenance and thus the
running of different forms of machines until they would fail. They would also be helpful for
predicting different forms of events and risks. They would thus be able to save a considerable
amount of time of the maintenance of the systems (Holsapple, Lee-Post & Pakath, 2014).
2.2 Importance of IoT within Business Intelligence
In the recent times, there have been a major rise in the number of business platforms. These kind
of business platforms help in bringing different forms of changes within the context of the
business. The rise of different kinds of IoT connected devices have helped the businesses to
generate much more amount of data with the passage of time (Li, Da Xu & Zhao, 2015). There

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are several kinds of chances where the consultants of business intelligence would have to work
with larger form of data sets that have been generated with the collection of a vast form of data.
These consultants would have to work with new kinds of techniques within the use of the
business platforms. They would thus be able to store, process and thus analyse the different
forms of data (Wixom et al., 2014). The impact of IoT within the sector of business platforms
would see a major form of growth in the recent decades as there have been major of changes
within the business platforms and the ways in which new kind of data are being generated. The
rise of new form of data have spurred the IoT based platforms to deploy various forms of
technologies that would be able to handle the vast data sets (Wortmann & Flüchter, 2015). With
the rise of these form of sets of data, it would be a major help for the business processes to
continue in the work of development of new kind of knowledge and rapid form of skillsets.
2.3 Benefits of Business Intelligence Technologies in IoT Frameworks
The different forms of benefits that could be defined with the growth of the impact of business
intelligence within the domain of IoT are:
Strategic form of Planning – The use of IoT frameworks have helped the business intelligence
frameworks for forming a strategic based planning of business plans and processes. The strategic
form of planning of business strategies would be majorly be helped by the IoT based methods.
They would also be helpful for capitalizing the inherent strengths by providing various forms of
insights within the context of business (Gubbi et al., 2013).
Consulting and Advertising Services – The adoption of IoT based technologies within a wide
form of industries have helped in gaining significant forms of impacts. The IoT based technology
have majorly helped for the growth of the business and thus gaining significant forms of impacts
(Botta et al., 2016).

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Location Intelligence and Integration of Operational Systems – The use of IoT based
framework have helped in gaining significant forms of focus. There are certain areas in IoT
frameworks such as location based intelligence, in-memory analysis, support from mobile device
that would be able to show a rapid form of growth in increasing the efficiency, revenue of the
business processes and thus increasing the effectiveness of the existing systems.
(Fig 3: Location Intelligence within the use of Business Intelligence)
Optimizing of Asset Performance – With the impact of IoT based devices within the business
intelligence platforms, there have been a vast form of optimizing of the asset performance within
the business. The proper form of identification of the potential form of problems within the
assets of the field, wells and grids could be helpful for optimizing the performance of the
different assets of the organization. The use of data analytics could be helpful for providing

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analyses based on different forms of statistics (Minoli, Sohraby & Occhiogrosso, 2017). The
different kinds of capabilities that would be provided with the help of the systems of business
intelligence could be helpful for enhancing the capacity, reliability and the availability of assets.
This would also help in improving the assets of the organization.
2.4 Opportunities for the Integration of Business Intelligence and IoT
The different forms of opportunities that have been provided with the collaboration of business
intelligence and IoT base frameworks are:
The collaboration of business intelligence and IoT would be helpful for detection of anomaly.
The connection of business intelligence and IoT based solutions would be helpful for the
improvement of the detection of anomaly. This form of tool would be helpful for detecting any
form of suspicious activities that would take place in the business processes. This form of
collaboration would be able to would be helpful for the business to provide different businesses
with monitoring based statistics (Alam et al., 2013). The vast form of collaboration would also
provide the users with individually visualized forms of reports that would be able to get
scheduled according to the needs of the company. They would also enable for the adjustment of
the indicators and the metrics that would be needed to be shown. The use of these kinds of
technologies would be helpful for reducing the considerable amount of time that would be
needed for the preparation of the document. The use of BI and IoT based technologies would
also be able to help in the efficiency of tracking of the inventory (Tao et al., 2014). The
collaboration with the wide use of sensors and scanners would help in calculation of the changes
within the inventory based on real-time analytics.

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3. Annotated Bibliography
Meyer, S., Ruppen, A., & Magerkurth, C. (2013, June). Internet of things-aware process
modeling: integrating IoT devices as business process resources. In International
conference on advanced information systems engineering (pp. 84-98). Springer, Berlin,
Heidelberg.
According to Meyer, Ruppen and Magerkurth, (2013), the internet of things has got a lot of
exposure in the recent years with the several forms of research and practices. RFID, actuators
and the sensors are increasingly being used into the value added applications of the Future
Internet. These technologies are being implemented with the help of the typical iot devices
integrated with dedicated software services. While almost every current works on the integration
of the iot services is focussed on the actual technical implementation, the components as the
resources in the business processes of the traditional erp systems have been left unattended (Del
Giudice, 2016). The paper is destined upon identifying and integrating the IoT resources as a
unique automatic resource type on the business process layer beyond the classical business
process model in order to have an expansion of the future business architectures.
Silva, E. M., & Maló, P. (2014). Iot testbed business model. Advances in Internet of
Things, 4(04), 37.
According to Silva and Maló, (2014), with the recent exposure to the technological advancement
the IoT has been able to generate a lot of hype in the present world. However, in spite of the
huge attention gained in the recent years, the IoT has been able to raise up some of the questions
that include its cost, maintenance, management and the need to provide a concrete justifications
of the same. From another angle it has been said that the IoT technologies highly required to be
proven before the deployment of its services to test and asses the real world IoT solutions

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concerned to several target users (Uchihira, Ishimatsu & Inoue, 2016). This in turn allows an
opportunity to deploy the various modules of IoT with a clear business model that is mainly
focussed on the large and real time research. The paper presents the generic business model for
the IoT test beds that are concerned on providing guidance to the business owners by studying
the business model of the SmartSantander facility. The paper intends to address the various
deployments of the IoT solutions in the development of the business architectures with several
trials.
Dijkman, R. M., Sprenkels, B., Peeters, T., & Janssen, A. (2015). Business models for the
Internet of Things. International Journal of Information Management, 35(6), 672-
678.
According to Dijkman et al., (2013), the internet of things is the connection between the between
the objects that are present in the present world with an internet connection. These objects are
generally equipped with sensors and actuators. There are also objects that are related to the
communications in technology. The technology has a massive impact in the fields of
manufacturing, farming, business and healthcare. The impact is considered as positive impact
because it is helpful in the establishment of the new connection with the existing world
applications. It is also helpful in deriving out new connections with the world with the help of
new innovations and new techniques. To accomplish this there lies a high requirement of the new
business models (Zhang & Wen, 2017). The framework of these business models must be
developed using proper techniques and procedures. The frameworks of the business models are
the framework of the system. The motive of this paper is to represent the framework of the
effective business models with relation to the Internet of Things. The business models that are