Implications of Trends in Business Systems Analysis

This report discusses the implications of trends in business systems analysis on understanding requirements from a systems analyst perspective. It explores the challenges, opportunities, and impact of these trends on businesses. The report also covers the research approach and methodology used to gather relevant data and information.

Report: Implications of trends in
Business Systems Analysis on
understanding the requirements
from a Systems Analyst perspective
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Table of Contents
ABSTRACT....................................................................................................................................3
Research approach and methodology..........................................................................................3
Detailed description of significant trend......................................................................................3
Opportunity..................................................................................................................................6
Consideration...............................................................................................................................7
Impact of trend on business.........................................................................................................8
Conclusion...................................................................................................................................9
REFERENCES..............................................................................................................................11
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ABSTRACT
The entire industry 4.0 has transformed entire technological world. Due to it, major changes
have occurred in business operations. new technology such as AI, robotics, IOT, and others is
been installed and used in many business functions. thus, user experience has enhanced to a great
extent. there are many organisations who are using technology in their operations. this has
reduced complexity of operations and increased capability of business (Aasheim, Shropshire and
Kadlec, 2019). Alongside, many new trends are emerging in technology that has integrated
system and servers. here, an example can be taken of use of AI in robots. With help of
technology business efficiency has improved. Moreover, there is ease in communication process
and sharing of data and info. Apart from it, large data is been stored easily with high and
effective security measures.
this report will describe about business analysis and trends in it. also, it has been explained
about challenges and opportunities of trend in business. Furthermore, the consideration is been
discussed of using trends in business. At last impact of trend on business has been mentioned.
Research approach and methodology
The main purpose of this report is to find out what are recent trends on fluctuating business
environment. So, it is necessary to gather relevant data and info from authentic and reliable
sources so that information is analysed in depth and outcomes are obtained. So, in order to do so
the data is collected from secondary sources such as previous articles, journals, etc. Moreover,
reports of firm such as KPMG, Bain and company, and other is reviewed and evaluated.
Detailed description of significant trend
With technological advancement it has been stated that many new trends are emerging in
it. also, advance software and applications are developed which has transformed the way of
performing business operations (Appelbaum, Kogan and Yan, 2017). Alongside, there are many
trends are emerging in it. the major is cloud computing which has allowed in providing third
party services. As said by Diez-Olivan, Del Ser and Sierra, 2019, cloud computing refer to use
of remote serve that is hosted on internet which provide various services such as to store,
manage, process, etc, data by using a local server. It has been evaluated that almost 60% of cloud
application are designed with help of AI. this is highly been used in business analysis. Moreover,
it is analysed that till 2020, 90% of companies will use cloud computing services. furthermore,
there will be use of database platform as service. thus, businesses will have to provide this
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service in order to remain sustain. besides that, more than 30% of government organisations will
use cloud first approach. they will adopt public cloud strategy in order to undertaken new
initiatives. Apart from it, till 2021 more than half of businesses install and use cloud computing.
Through that, it will be easy to expand and provide services in wide area.
However, as elucidated by Davis and Yen, 2019, businesses are highly investing in
advance technology and developing new IT infrastructure. they are building hybrid infra to
control benefit of cloud computing. there are different types of cloud services such as SaaS,
PaaS, etc. the services depend on business and its type. in a report it has been stated that market
of public cloud will increase rapidly in coming time. it is expected to grow $236 billion in 2020
with rise of 23%. The cloud computing market is growing at 22.8 percent and will exceed $127.5
after 2018. By 2018, 62% of all CRM software will be cloud-based. Moreover, 30% of all
application spending is for software as a service based applications.
As stated by Hosseini, Shahri and Ali, 2018, there some facts about cloud computing.
Companies are emphasis on cloud service providers rather than services. this is because it
enables in getting elastic and reliable solution. The computing has highly impacted on IT system
of enterprise. this has resulted in improving business efficiency. Moreover, innovation is done
easily with help of cloud computing.
In the year 2018 there will be shift in business goals. this is because of new technology
that require proper analysis. cloud computing is a technology which offer flexibility and access
to use computer resources just by paying fee. It is a centralized system or network where all
types of services are available. cloud is a service oriented model in which all local systems are
remotely connected. In this IOT is a driver of cloud.
Another trend that has emerged is use of AI in business analysis. AI is the ability of a
computer or computer controlled robot to perform tasks commonly associated
with intelligent beings. This enables in increasing business efficiency and productivity. Usually,
AI is used in simplifying business process by providing data and information on various areas
and making changes accordingly. It is also a business analysis tool which help in analyzing data.
There are many ways in which AI is used. This trend is completely different from cloud
computing as it is based on use of algorithms and machine learning programs which perform
various types of tasks and business operations. AI is used by companies to ad hoc large data
sets. Moreover, it helps in identifying data patterns in data set which is relevant to use it. The use
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of AI system has benefited in generating value to customers by offering them high quality
products. It also works on OLAP concept where a query based system which helps in analysing
data and then viewing it in different ways or dimensions. The main objective of OLAP systems
is to provide answers to ad hoc queries within the shortest possible time regardless of the size of
the datasets being used. The statistics shows that use of chat bots will reduce business cost by $8
billion. Also, they will be responsible for solving 85% customer service problems till 2020.
However, in Facebook 10,000 developers are building AI. In 2021 about 315 companies will use
AI in enhancing customer experience. Also, 84% of staff think that AI will bring efficiency. In
report of forbes 87% of companies are using AI in e mail. Moreover, it is expected that till 2025
AI market will rise from $1.62 billion to $31.2 billion. AI will become emerging market trend
with 26% and out of 5, 1 company is using AI in different function. By 2020 AI will generate 23
million more jobs. Other than this, chat bot market is expected to rise by $1.25 billion till 2025.
AI will take over 38% factory jobs till 2030. Moreover, AI market is expected to rise by $%17.8
billion by 2025 with China and US among the leaders of using AI. It will also be used in IOT
and cloud computing by offering customer service. So, there will be high rise in productivity and
profit of companies by 28.3% till 2023. There will also be reduction in cost of operations by
8.2%. Alongside,, AI will be used in integration with big data as well. The self learning systems
will be built on basis of AI making it easy to solve complex problems.
Challenges
According to Langer, 2020 there are many challenges which can be faced in cloud
computing in future. It will directly impact on market growth of technology. Also, capabilities of
offering high quality services will be affected. So, it is analysed that major challenge is rise in
cost of mining data from cloud. this can be explained with help of example that using amazon
EC2 cost around $17,495 in a month. But with rise in time many cloud service providers are
emerging in the market. Thus, it has become difficult to select one on basis of price of services
provided. However, in market there is stiff competition among three major players that are
Google, Microsoft and Amazon. But here Amazon lead with market share of 35%.
Also, it has been analysed that in 2017 Bain and company stated technology revolution has
occurred due to cloud computing. it will cover market share of at least 60% in future. In addition,
high challenges will be emerging in cloud computing. However, there is shift in challenges from
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2012 to 2015. So, key challenges identified are data breach, data security, high cost, lot of
technical errors, etc. are some challenges in it.
Opportunity
It has been evaluated that cloud computing has provided vast number of opportunities for
business to expand their services. this has allowed those companies who are not able to afford to
implement new IT infrastructure can easily use cloud computing. It allows in virtual use of
resources to access services. In addition, integration of data set and mining can be done easily
with help of resources required. Therefore, many companies are already using cloud services and
have expanded area of operation (Mitri, Cole, C. and Atkins, 2017). They are able to do data
mining within cloud. but there is risk of rise in issue if data cloud is not maintained. besides,
already many companies have saved data in cloud. Other than this, in report of 2018 it is
analysed that cloud services helps in generating value. it also provides various advantages as
well such as flexibility, adoptability, innovation, scalable infrastructure, etc. So, it enhances the
capabilities of business as well by streamlining flow of services.
However, the next coming generating of cloud computing will be more advance. it will
have a distributed network infrastructure which will be more complex and integrated. Thus, it
will impact on certain areas which are defined as below :
Use of IOT –
Technology advancement in cloud computing will include IOT. there will be use of
sensors, gadgets, etc. through which integration will occur. Internet of things is integrated
systems of computer, devices, etc. where data is shared and transferred over a network.
alongside, IOT will have a positive impact on cloud computing as it will facilitate architecture.
Thus, there will be conventional cloud computing system which limit in connecting many things.
However, if these systems are combined then it will led to IoT vision (Morrar, Arman and
Mousa, 2017).
Big data
There has been use of big data by companies to store and manage data. this has made it
easy for business to access and share data easily. however, it is analysed that organisations are
storing large data on cloud then they are able to retrieve its easily. Furthermore, processing and
access of data is speeding as data is stored in segregate way in cloud. also, there are many large
organisation such as Amazon, Microsoft, who are offering big data with cloud computing.
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Service space
The abstraction of information was initially offered by platform as a Service (PaaS),
infrastructure as a service (IaaS), and Software as a service (SaaS) but Acceleration as a Service
(AaaS) is being proposed to use GPUs to accelerate the processing. Graphical processing unit is
a circuit designed to alter memory to enhance the image creation. they are systems such as smart
phones, PC, etc. With the evolution of event-based paradigm more applications will make use of
function as a Service (FaaS). The functions will be executed based on the incoming events
(Smith, 2020)
Self learning systems
In present times, data consists of many things such as image, audio, video, etc. these all
built meta data and large data set. thus, these all can be easily stored in cloud at minimal cost.
But study is carried to get insight on data and info. for this there are many software platform and
API available where analysis can be done with minimum cost. For instance, Google tensor flow.
Moreover, in that machine learning and algorithms is used and applied in generating knowledge
and finding out solution.
Consideration
It is analysed that cloud computing in business is forcing companies to move towards
cloud. but there are certain considerations that must be followed by companies before using
cloud computing services. This is because it will help business to analyse things properly. So,
there are certain areas like stakeholder interest, policies, etc. in order to make entire process
standard. Organisation need to analyse data and services so that rules and regulations are
followed. Alongside, risk assessment needs to be done so that risks are identified and appropriate
measures and actions are taken for it. the cloud service companies have to find out strength and
weakness of their services and cloud (Tseng and Wilson, 2019). It will be useful in identifying
any challenge and overcoming it.
However, it is necessary to determine the responsibility between provider and consumer. it
is most common issue which is been faced by business. there may be change or variance in cloud
service provider regarding certificate, access, finance and others. Thus, these all have to be
analysed which makes it easy to find out standards, terms and condition, of service provider.
This is necessary to do so where things are done in proper way. In addition to it, business needs
to communicate with stakeholder as well so that their needs are identified. besides that, effective
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decision can be taken regarding forming terms and condition, standards, policies, etc. which
allow in evaluating benefit of cloud computing. In addition, feasibility and suitability of cloud
computing can be analysed and find out whether it will be beneficial for company or not.
Impact of trend on business
In my point of view, I think that traditional business system does not work in such a
advance technological era. this is because frequent changes are occurring in technology which is
not suitable to analyse data (Aasheim, Shropshire and Kadlec, 2019). As a business analyst I
think that cloud computing is highly useful in storing large data and offering services. the role of
business analyst is not only to interpret data but also to find out the need of business. so, its role
is evolving to a great extent in industry. Besides there are some technology as well which is
helping analyst to have broad knowledge of how different processes and software and
application to support in implementing new technology. hence, it has impacted on positive way
on business. alongside, there is change in needs of stakeholder as well both internal and external.
in addition, business analyst needs to find out ways on how to leverage data and info by using
big data. besides, it requires to work with developers, security experts, etc. to improve efficiency
and cope up with technological advancement. The computing has highly impacted on IT system
of enterprise. this has resulted in improving business efficiency. Moreover, innovation is done
easily with help of cloud computing. cloud computing is a technology which offer flexibility and
access to use computer resources just by paying fee. It is a centralized system or network where
all types of services are available (Appelbaum, Kogan and Yan, 2017). So, there are certain
areas like stakeholder interest, policies, etc. in order to make entire process standard.
Organisation need to analyse data and services so that rules and regulations are followed. there
are many organisations who are using technology in their operations. this has reduced
complexity of operations and increased capability of business. they are able to increase ROI and
attract more customers. also, they are expanding into other areas easily.
So, there is positive impact of AI on business as it has led to rise in productivity. The
major area where AI is used is customer service. Thus, it has led to offering high quality services
24*7 and solving queries easily. Furthermore, it has provided flexibility in doing complex tasks
just by developing a default algorithm. Hence, it has impacted on positive way on business. This
is because it will help business to analyse things proper.
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Conclusion
Hereby, it is summarised that advancement in technology has impacted on business in
positive way. it has provided several software and application for business to grow and develop.
Besides, business system analysis is done with help of cloud computing. It is a platform through
which physical infrastructure can be used to provide services by using a network. Alongside,
cloud computing IOT, machine learning, AI is used in cloud. Thus, it has highly impacted in
positive way on business stakeholders as they are able to recognise use of technology in it. In
future there will be rapid growth in cloud computing services.
It is important for business to understand the requirement of technology from both
stakeholder and customer point of view. Moreover, use of various types of technology in
business has resulted in increase in ROI. New systems and processes are installed and there is
change in overall process of operations. All business functions are been automated or digitalised.
However, in order work or operate advance systems business needs to hire skilled and advance
workforce. the cloud technology with high device to adopt AI and machine learning will
capitalise in cloud.
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REFERENCES
Books and journals
Aasheim, C., Shropshire, J. and Kadlec, C., 2019. Knowledge and skill requirements for entry-
level IT workers: A longitudinal study. Journal of Information Systems Education, 23(2),
p.8.
Appelbaum, D., Kogan, A. and Yan, Z., 2017. Impact of business analytics and enterprise
systems on managerial accounting. International Journal of Accounting Information
Systems, 25, pp.29-44..
Davis, W.S. and Yen, D.C. eds., 2019. The information system consultant's handbook: Systems
analysis and design. CRC press.
Diez-Olivan, A., Del Ser, J. and Sierra, B., 2019. Data fusion and machine learning for industrial
prognosis: Trends and perspectives towards Industry 4.0. Information Fusion, 50, pp.92-
111.
Hosseini, M., Shahri, A. and Ali, R., 2018. Four reference models for transparency requirements
in information systems. Requirements Engineering, 23(2), pp.251-275.
Langer, A.M., 2020. The Impact of Wireless Communication. In Analysis and Design of Next-
Generation Software Architectures (pp. 125-134). Springer, Cham.
Mitri, M., Cole, C. and Atkins, L., 2017. Teaching Case: A Systems Analysis Role-Play Exercise
and Assignment. Journal of Information Systems Education, 28(1), p.1.
Morrar, R., Arman, H. and Mousa, S., 2017. The fourth industrial revolution (Industry 4.0): A
social innovation perspective. Technology Innovation Management Review, 7(11), pp.12-
20.
Smith, S.S., 2020. Implications & Trends for Financial Services. In Blockchain, Artificial
Intelligence and Financial Services (pp. 151-164). Springer, Cham.
Tseng, Y.J. and Wilson, M., 2019. Changes in Recommendation Rating Systems, Analyst
Optimism, and Investor Response. Journal of Business Ethics, pp.1-33.
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