Impact of Cloud Computing & IoT on Business Technology Adoption

This report examines the impact of cloud computing and Internet of Things (IoT) technologies on modern business competitiveness. It highlights how organizations leverage these technologies for data collection, storage, and analysis, emphasizing the role of Business Intelligence (BI) and data warehouses. The report discusses the benefits of technology adoption, including increased efficiency, reduced operational costs, and improved data security through well-managed databases. It also explores the use of wireless technology and IoT in smart cities and various industries, showcasing how these tools enable remote operations and data-driven decision-making. The conclusion emphasizes the importance of integrating BI, databases, and IoT technologies to achieve effective business operations and gain a competitive edge, recommending that organizations consider these integrations to maximize the potential of their IoT infrastructure.

Professional assignment 2
Name
Institution
Professor
Course
Date

Introduction
Technology adoption in modern business remains an important tool that organizations
use to be competitive in the industry. To be competitive in the industry, organizations make use
of data to evaluate untapped opportunities (Oliveira & Martins, 2011). Collection, storage, and
analysis of such data have to be done through the use of tools and modern technologies. Through
the use of the Internet of things (IoT) and cloud computing, organizations can build more
scalable infrastructure which can cater for future organizational data growth. To benefit from
data, organizations should adopt core aspects of Business Intelligence (BI) which make use of
data warehouse. The building of the data warehouse has been made possible by the use of IoT
and cloud computing. Organizations can only benefit from innovation by integrating different
types of tools and technologies which offer operational advantage. The article focuses on cloud
computing and IoT technologies which makes it possible for organizations to remain competitive
in the industry. According to Ghobakhloo, Sabouri, Hong & Zulkifli (2011), the use of the
internet, wireless technology, business intelligence, and database makes it possible to automate
all business processes. Organizations prefer IoT and cloud computing because it has proved to be
scalable and can accommodate future business growth. Important to note is that technology
should be managed to make sure it is secure and free from interference by unauthorized parties.
Additionally, the benefits that an organization gains by adopting technologies such as the
internet, wireless technology, business intelligence, and well-managed databases would be
analyzed.
Benefits of technology adoption
Organizations that make use of Business intelligence (BI) relies on the data warehouse.
Data is collected from different sources through the use of various tools such as IoT devices.

There are different types of benefits that organizations can derive from the use of IoT
technologies. First, the Internet has been adopted by organizations to simplify business
operations by making its process available at any time and from anywhere. Most importantly, the
internet has made it possible to transmit data collected by IoT devices to a centralized data
warehouse (Bandyopadhyay, Sengupta, Maiti & Dutta, 2011). Without the internet, it would be
impossible for an organizations to implement IoT infrastructure. Through the use of the internet,
it has been possible for organizations and entities to collect data from different sources. The
aspect of the internet, wireless technology, and IoT has been adopted in securing cities. Smart
cities are managed through a collection of data from different sources. The collected data is
presented in the Business Intelligence system to help smart cities management to develop
suitable security strategies. According to Patel & Patel (2016), most of the smart cities have
deployed data collection tools in the form of Radio Frequency Identification (RFID) to collect
required data for decision making. Some of the devices do not require power sources as they
make use of magnet induction to detect and collect required data. Considering some of the
security aspects are very sensitive, security agencies have adopted a mechanism of automating
some parameters to convey messages to relevant authorities through the use of Machine to
Machine (M2M) communication technology. In this case, through use of the internet, security
management of smart cities such as Mumbai has been possible.
Well-managed databases are secure and free from unauthorized access by third parties.
The secured database is only accessible by genuine users making it secure and free from
interruption. In this regard, data remains confidential and reliable for organizational use (Misra,
Kumar & Agarwal, 2016). On the same note, well-managed databases are efficient and reliable
because data retrieval is faster. Through data normalization, data atomicity is achieved which

makes it easier to query required data. Faster data retrieval improves system performance which
in turn reduces time and operational cost. Business Intelligence (BI) retrieves data from
databases and displays it as useful information to organizational management in form of graphs
and charts for decision making. Business Intelligence is used by management to analyze business
operations which can be prioritized to offer competitive advantages. It presents decision-makers
with a graphical presentation which is easier to understand and interpret. This makes it possible
for managers to analyze aspects which organization can focus on to maximize profits. Sales
departments in organizations rely heavily on data extraction and presentation through BI to
evaluate suitable and profitable market segments. Once an analysis has been done, sales
managers can decide on which market segments are profitable as well as non-profitable one. As a
result, an organization can capitalize on profitable operations and take suitable measures on
potential sectors. In this regard, through the use of databases and business intelligence concepts,
organizations can develop operational competitive strategies (Wollschlaeger, Sauter &
Jasperneite, 2017).
Wireless technology involves communication without the use of wired devices making it
possible for devices to communicate over long distances. Use of wireless technology increases
efficiency saves organization operational costs and make it possible for workers to operate
remotely (Alberti & Singh, 2013). Instead of traveling for long distances and un-secure areas,
wireless devices are fitted with necessary gadgets which collect and send information very fast
and more inexpensively. Collection of data in un-secure areas has been a challenge until the use
of wireless technology was adopted by security agencies. With the adoption of wireless
technology in the communication industry, workers do not need to travel to risk environments to
collect data. Sensors can be fitted on drones which are controlled remotely from an office to

collect data which is conveyed in real-time to the organizational database. Once information is
collected, BI is used to interpret and present information to decision-makers. Business
intelligence retrieves information from databases which make it possible for organizational
management analyze efficient operational strategies. In most cases, the implementation of the
Internet of Things (IoT) is implemented through the use of wireless technology. Some of the
technologies which are used in wireless technology are wireless sensor networks (WSN) and
radio frequency identification devices (RFID). Wireless devices are connected through the use of
either network or magnetic waves to facilitate sharing of data over a large area (Gomez, Chessa,
Fleury, Roussos & Preuveneers, 2019). Wireless technology has been adopted in the distribution
of Wi-Fi which a form network is required to connect many users at once. Instead of connecting
every network with a network cable, users are allocated a dynamic IP address and provided with
network SSD name and a password.
Conclusion
The main goal of an organization to adopt technology is to be competitive in the industry.
Some of the technologies adopted by the organization are; Internet of Things (IoT) and cloud
computing. Technology adoption focuses on data collection, storage, and its use to gain
operational advantage. Technology adoption offers some advantages such as increased
efficiency, reduced operational costs, operating in un-secure environment and management of
smart cities. Such benefits have been made possible by the use of technologies such as RFID,
M2M, and WSN. Data collection and transmission through the use of wireless technology
supported by IoT does not require human intervention. In most cases, data is collected through
the use of electromagnetic waves and sensors. Once data is collected, it has to be stored in a
well-managed database for ease of retrieval. To make effective use of data, a data warehouse

should be managed for the ease of retrieving data to Business Intelligence for analysis and
decision making. It is only through the use of Business Intelligence that users can interact with
data visually. To make the Internet of Things (IoT) infrastructure, organizations should consider
integrating Business intelligence (BI), databases and IoT technologies to make its operations
effective.
References
Alberti, A. M., & Singh, D. (2013). Internet of things: perspectives, challenges, and
opportunities. In International Workshop on Telecommunications (IWT 2013) (pp. 1-6).
Bandyopadhyay, S., Sengupta, M., Maiti, S., & Dutta, S. (2011). Role of middleware for the
internet of things: A study. International Journal of Computer Science and
Engineering Survey, 2(3), 94-105.
Ghobakhloo, M., Sabouri, M. S., Hong, T. S., & Zulkifli, N. (2011). Information technology
adoption in small and medium-sized enterprises; an appraisal of two decades of
literature. Interdisciplinary Journal of Research in Business, 1(7), 53-80.
Gomez, C., Chessa, S., Fleury, A., Roussos, G., & Preuveneers, D. (2019). Internet of Things for
enabling smart environments: A technology-centric perspective. Journal of Ambient
Intelligence and Smart Environments, 11(1), 23-43.
Misra, G., Kumar, V., Agarwal, A., & Agarwal, K. (2016). Internet of things (IoT)–a
technological analysis and survey on vision, concepts, challenges, innovation directions,
technologies, and applications (an upcoming or future generation computer communication
system technology). American Journal of Electrical and Electronic Engineering, 4(1), 23-32.
Oliveira, T., & Martins, M. F. (2011). Literature review of information technology adoption
models at the firm level. Electronic Journal of Information Systems Evaluation, 14(1),
110.
Patel, K. K., & Patel, S. M. (2016). Internet of things-IOT: definition, characteristics,
architecture, enabling technologies, application & future challenges. International
journal of engineering science and computing, 6(5), 6122-6130.
Wollschlaeger, M., Sauter, T., & Jasperneite, J. (2017). The future of industrial communication:
Automation networks in the era of the internet of things and industry 4.0. IEEE industrial
electronics magazine, 11(1), 17-27.