Impact of IoT and Big Data Analytics in Business Organizations and Daily Life

This paper explores the impact of using internet of things (IoT) and big data analytics in business organizations and daily life. It discusses the purpose of the report, challenges of using these technologies, and presents an annotated bibliography of 10 peer-reviewed journals on IoT and Big Data Analytics.

Running head: IOT AND DATA ANALYTICS
IoT and Data Analytics
Name of the Student
Name of the University
Author Note:

1IOT AND DATA ANALYTICS
Abstract
The primary determination of the paper is to present the impact of using internet of things and
big data analysis in business organizations as well as in our daily life. The report will be having
abundant subunits such as the purpose of the report. The structure of the report will be also stated
in the report as well. The challenges of the use of these technologies will be also discussed in the
paper as well. The annotated bibliography unit of the paper will be discussing the opinion of the
researchers of 10 peer-reviewed journals about different aspects of IoT and Big Data Analytics.

2IOT AND DATA ANALYTICS
Table of Contents
Introduction......................................................................................................................................2
Purpose of the report........................................................................................................................2
Expected format of the report..........................................................................................................2
Problem Statement...........................................................................................................................2
Annotated Bibliography...................................................................................................................3
Reference.........................................................................................................................................8

3IOT AND DATA ANALYTICS
Introduction
The foremost determination of the paper is to focus on different aspects of IoT and Data
Analytics. The report will be having numerous sections, each sections having its own
significance. Problem statement will be presented in the report briefly along with that the report
will be having an annotated bibliography unit stating the opinion of each of the researchers.
The application of the use of Big Data Analytics and IoT has been increasing tangentially
over the last years as the benefits provided by these technologies are very much essential for the
growth of business organizations. The use of IoT based devices is also very much beneficial for
our society as it helps in enhancing our quality of life. There are different types of IoT based
technologies which are used in our daily life such as the smart thermostats, mimo monitor,
Philips hue bulbs, smart phones, smart cars microchips and Ralph Lauren Polotech Shirt and
vending machines. The use of IoT devices such as Amazon Alexa, Google home, Apple
smartwatches, internet connected baby monitors and video doorbells are increasing every day.
The experience of the consumers is very much essential before the installation procedure of IoT.
The application of the big data analytics is also increasing both in our society as well as
in the business organization as is helps in filtering the structured data from the unstructured data.
The business records of the organizations are very much important for the progress and the
growth of the firm which can be maintained using the concepts of data analytics. The application
of the use of big data analytics are improving every day as its enhanced modules are being used
in both the business to business application as well in the business to consumer applications. The
big data analysis can be categorized into two sections such as the exploratory data analysis and
the confirmatory data analysis.

4IOT AND DATA ANALYTICS
Purpose of the report
The prime resolution of this paper is to discuss the impact of IoT and Big Data Analytics in
our society as well as in our business organization. The following unit of the paper will be
important to understand the format of the report.
Expected format of the report
The report will be having numerous segments the abstract will be stating about the
structure of the report. The report introduces with the purpose if the report is to focus on the
impact of the big data analytics and IoT. The succeeding unit of the paper will be stated about
the changes of the discussed technologies in the problem statement. The report will be
concluding with annotated bibliography stating the opinion of each of the researchers discussing
different aspects of the Big Data Analytics and IoT.
Problem Statement
The use of the big data analytics and the IoT based technologies have few challenges
such as the alignment with the expectation of the consumers and the security concerns of the IoT
enabled devices which have to be considered in the first place so that the desired results are
obtained with the use of these technologies.

5IOT AND DATA ANALYTICS
Annotated Bibliography
1. Marjani, M., Nasaruddin, F., Gani, A., Karim, A., Hashem, I. A. T., Siddiqa, A., &
Yaqoob, I. (2017). Big IoT data analytics: architecture, opportunities, and open research
challenges. IEEE Access, 5, 5247-5261.
According to this resource the business organizations who are using the concepts of Big
Data Analytics and IoT in their working environment must be understanding the architecture of
the system and the opportunities provided by the technologies in order to get the desired results.
The paper helps in understanding how the cloud based technologies are associated with Big Data
Analytics as it helps in maintaining the integrity of the data. The paper also suggests the use of
analytical tools to analyse the outcome of the use of these technologies. Thus the paper helps in
understand how IoT and Big Data Analysis helps in maintaining data integrity.
2. Mohammadi, M., Al-Fuqaha, A., Sorour, S., & Guizani, M. (2018). Deep learning for IoT
big data and streaming analytics: A survey. IEEE Communications Surveys & Tutorials,
20(4), 2923-2960.
The resource states that the deep learning and the ordered learning algorithm of IoT as
well as Big Data Analytics are very much significant to deal with the neutral networks. The
paper discusses the comparison between deep learning and machine learning techniques. The
intelligent decision making is done using deep learning techniques. The management of the
sensory data can be done using machine learning techniques. The potential challenges of the
machine learning techniques for IoT were discussed in details in this paper. Thus, the concepts of
deep learning were understood from this paper.

6IOT AND DATA ANALYTICS
3. Hwang, K., & Chen, M. (2017). Big-data analytics for cloud, IoT and cognitive
computing. John Wiley & Sons.
According to this resource, big data analytics are used in most of the business
organizations for managing the networks, storing the data and organizational servers. The paper
suggests that big data analysis can be very much beneficial for the business organization to
achieve the mission and vision of the organization. The difference between cloud based
technologies and big data analytics has be differentiated in this paper. Concepts of cognitive
computing using the computerized models has been also stated in the paper. The paper also
discusses the self-learning algorithms and the application of cognitive computing in the data
mining techniques. Thus the paper is very much useful to comprehend the implementation of big
data analytics in cloud computing and cognitive computing.
4. Bashir, M. R., & Gill, A. Q. (2016, December). Towards an IoT big data analytics
framework: smart buildings systems. In 2016 IEEE 18th International Conference on High
Performance Computing and Communications; IEEE 14th International Conference on
Smart City; IEEE 2nd International Conference on Data Science and Systems
(HPCC/SmartCity/DSS) (pp. 1325-1332). IEEE.
The paper highlights the significance of the application of the IoT big data analytics in
smart buildings. The paper provides different types of case studies stating the reputation of
Internet of things in smart buildings. The paper helps in understanding the IoT Big Data Analysis
framework for the storing and analysis of the data. The velocity challenge of the real time data
can be understood from the paper as well. The use of real time data management can be done
successfully using data analytics. The paper also discusses the constraints of big data analysis in
business organizations as well.

7IOT AND DATA ANALYTICS
5. Strohbach, M., Ziekow, H., Gazis, V., & Akiva, N. (2015). Towards a big data analytics
framework for IoT and smart city applications. In Modeling and processing for next-
generation big-data technologies (pp. 257-282). Springer, Cham.
The paper suggests and identifies the use of the IoT in smart city. The paper suggest the
application of the IoT based sensors as it helps in the dealing with issues such as heating of the
automated systems, ventilation of the smart buildings, air conditioning, lighting, security and
other systems. The paper also highlights the concepts of building management system. The
paper suggests that the use of IoT based technologies can be very much beneficial for the
business organizations for improving the operational efficiency of the automated systems. Thus,
the paper helps in understanding the application of IoT in smart cities.
6. Rathore, M. M., Ahmad, A., Paul, A., & Rho, S. (2016). Urban planning and building
smart cities based on the internet of things using big data analytics. Computer Networks,
101, 63-80.
According to this paper, internet of things are increasingly used in smart cities. The paper
emphases on the improved standard of living of the citizens with the use of the different
categories of technologies like the IoT and big data analytics. The paper also successfully
highlights the procedure to conduct urban planning using IoT based data analytics. Community
services provided by the IoT based technologies in terms of the use of wearable technologies and
smart televisions which are used in the smart cities has been discussed briefly in this paper. Thus
the paper helps in understanding the application of IoT based data analysis in smart cities and
urban planning.

8IOT AND DATA ANALYTICS
7. Sun, Y., Song, H., Jara, A. J., & Bie, R. (2016). Internet of things and big data analytics
for smart and connected communities. IEEE access, 4, 766-773.
The paper suggests the application of the internet of things and big data analytics in the
smart cities and the connected communities. The paper describes the networking concepts of the
connected devices, According to this paper sustainable development of the smart cities is also
possible with the application of the big data analytics and IoT. The paper describes the different
aspects of smart and connected community such as the liveability, preservation, revitalization
and sustainability. The use of the different smart appliance such as accelerometer, IoT based
sensors, GPS, gyrator, compass, smart meters, smart speakers, commercial security systems and
IoT devices. Thus the paper helps in understanding concepts of use of the IoT devices in smart
and connected communities.
8. Bonomi, F., Milito, R., Natarajan, P., & Zhu, J. (2014). Fog computing: A platform for
internet of things and analytics. In Big data and internet of things: A roadmap for smart
environments (pp. 169-186). Springer, Cham.
According to this paper, fog computing can be very much significant for smart cities. The
computation of the data along with its storage facilities and communication facilities can be
entirely managed using fog computing. The fog networking consists of a control plane and data
plane, these planes are very much important for the computations services offered from the IoT
based systems. The local resources pooling are done in a more efficient way using fog
computing. The concepts of edge computing and fog computing are mentioned in the paper with
primary importance. The paper determines the improved efficiency of the data which are
circulated between the business organizations. Thus this paper explains the use of fog computing
in the IoT smart cities.

9IOT AND DATA ANALYTICS
9. Riggins, F. J., & Wamba, S. F. (2015, January). Research directions on the adoption,
usage, and impact of the internet of things through the use of big data analytics. In 2015
48th Hawaii International Conference on System Sciences (pp. 1531-1540). IEEE.
According to this paper, the application of big data analytics is very much important for
the business organizations to deal with the storage facilities of both the structured and the
unstructured data. The paper suggests that by the year 2020 the number of devices which will be
associated with the IoT will be around 75 billion. The widespread expansion in the field of IT
has ensued the evolution of plentiful technologies like IoT and big data technologies. The bigger
volume of the data, the huge speed of the data which are transported from one unit of the
organization to another are managed using the big data analytics. The alignment between
business and IT facilities was described in the paper. Thus the paper was very much useful to
understand the impact of IoT in big data analytics.
10. Ahmed, E., Yaqoob, I., Hashem, I. A. T., Khan, I., Ahmed, A. I. A., Imran, M., &
Vasilakos, A. V. (2017). The role of big data analytics in Internet of Things. Computer
Networks, 129, 459-471.
The paper concludes the role of the big data in Internet of Things which are used in our
daily life as well as in the business organizations. The details of the data storage facility provided
by the IoT based devices and the processing services can be understood from this paper. The
main feature of this paper highlights the importance of data analytics in IoT to make better
decisions. The current market trends of the use of the big data technologies in Internet of Things
such as Hadoop and cloud based analytics can be also understood from the paper. Thus the paper
helps in understanding the role of the big data for the IoT based devices.

10IOT AND DATA ANALYTICS
Reference
Ahmed, E., Yaqoob, I., Hashem, I. A. T., Khan, I., Ahmed, A. I. A., Imran, M., & Vasilakos, A.
V. (2017). The role of big data analytics in Internet of Things. Computer Networks, 129,
459-471.
Bashir, M. R., & Gill, A. Q. (2016, December). Towards an IoT big data analytics framework:
smart buildings systems. In 2016 IEEE 18th International Conference on High
Performance Computing and Communications; IEEE 14th International Conference on
Smart City; IEEE 2nd International Conference on Data Science and Systems
(HPCC/SmartCity/DSS) (pp. 1325-1332). IEEE.
Bashir, M. R., & Gill, A. Q. (2016, December). Towards an IoT big data analytics framework:
smart buildings systems. In 2016 IEEE 18th International Conference on High
Performance Computing and Communications; IEEE 14th International Conference on
Smart City; IEEE 2nd International Conference on Data Science and Systems
(HPCC/SmartCity/DSS) (pp. 1325-1332). IEEE.
Bonomi, F., Milito, R., Natarajan, P., & Zhu, J. (2014). Fog computing: A platform for internet
of things and analytics. In Big data and internet of things: A roadmap for smart
environments (pp. 169-186). Springer, Cham.
Hwang, K., & Chen, M. (2017). Big-data analytics for cloud, IoT and cognitive computing. John
Wiley & Sons.

11IOT AND DATA ANALYTICS
Marjani, M., Nasaruddin, F., Gani, A., Karim, A., Hashem, I. A. T., Siddiqa, A., & Yaqoob, I.
(2017). Big IoT data analytics: architecture, opportunities, and open research challenges.
IEEE Access, 5, 5247-5261.
Mohammadi, M., Al-Fuqaha, A., Sorour, S., & Guizani, M. (2018). Deep learning for IoT big
data and streaming analytics: A survey. IEEE Communications Surveys & Tutorials, 20(4),
2923-2960.
Rathore, M. M., Ahmad, A., Paul, A., & Rho, S. (2016). Urban planning and building smart
cities based on the internet of things using big data analytics. Computer Networks, 101,
63-80.
Riggins, F. J., & Wamba, S. F. (2015, January). Research directions on the adoption, usage, and
impact of the internet of things through the use of big data analytics. In 2015 48th
Hawaii International Conference on System Sciences (pp. 1531-1540). IEEE.
Strohbach, M., Ziekow, H., Gazis, V., & Akiva, N. (2015). Towards a big data analytics
framework for IoT and smart city applications. In Modeling and processing for next-
generation big-data technologies (pp. 257-282). Springer, Cham.
Sun, Y., Song, H., Jara, A. J., & Bie, R. (2016). Internet of things and big data analytics for smart
and connected communities. IEEE access, 4, 766-773.