Incorporation of Data Analytics Report: Trends and Analysis

This report delves into the incorporation of data analytics within business systems, examining the impact of digital transformation and new-age technologies like data analytics and cloud computing. It explores various trends, including data analytics investment and the use of DA tools for improved de...Read More

Running head: INCORPORATION OF DATA ANALYTICS
Incorporation of data analytics
Name of the Student
Name of the University
Author Note

1INCORPORATION OF DATA ANALYTICS
Table of Contents
Abstract......................................................................................................................................2
Research approach and methodology.........................................................................................2
Detailed description of the significant identified trend..............................................................3
Challenges..................................................................................................................................6
Opportunity................................................................................................................................7
Considerations............................................................................................................................8
Impact of the trend on business analytics practise.....................................................................8
Conclusion................................................................................................................................10
References................................................................................................................................11

2INCORPORATION OF DATA ANALYTICS
Abstract
Digital transformation is one of the top trends which are followed in the business system
analysis; as a result, the performance of the agile teams has enhanced to a significant extent.
New-age technologies like data analytics and cloud computing have taken over in every
disruptive business environment. Each of these trends was very much useful to enhance the
skill of the workforces, which are working with diverse categories of business systems such
as the payroll business system and personnel business system.
However, there are numerous challenges, opportunities, and other considerations that are
associated with the use of these emerging trends, which will be evaluated in this report from
the perspective of the scholars who have stated their opinion about the implications of the
emerging trends in the business system analysis. The impact of the selected trend shall also
be discussed in the concluding sections of this report.
Research approach and methodology
Secondary data collection method shall be considered in this report where data will be
collected from a reputed and reliable secondary data source, which is Google Scholar. Data
shall be connected from peer-reviewed journals where scholars have stated their opinions
about the selected topic of this report. The project management journals shall be considered
in this report as it will be very much useful to understand the impact of the emerging trends
from the perspective of a system analyst. All the peer-reviewed journals that will be
considered in this report have been published in the last five years to avoid any sort of
outdated data, as the business conditions of the disruptive business environment are very
much dynamic. Maintaining the integrity of the data which will be collected from the
secondary sources is the only ethical consideration of the research methodology of this report.

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Detailed description of the significant identified trend
There are numerous challenges which are faced across business organisations all over the
world; understanding the business requirement is the prime challenge faced by the systems
analyst of those organizations.
The emerging trend which is selected for this research is Data Analytics (DA), a different
perspective of this trend shall be evaluated from the perspective of scholars. Digital
transformation is ensured in a business that makes the most out of DA tools, which can help
them to have control of their raw data (Grove et al. 2018). The technical capabilities of all the
resources working with the business system can be improved due to the use of DA tools. Data
and analytics investment is one of the emerging trends of any business which likes to work
with advanced business systems (Alsheikh, Niyato, Lin, S., Tan & Han, 2016). The
deployment of DA tools has helped commercial establishments to protect the integrity of
their raw data in a systemized modus (Nastic, Rausch, Scekic, Dustdar, Gusev, 2017).
Decision-making capabilities of the business systems have improved to a huge extent, and it
is mainly due to the use of DA tools. There are diverse categories of DA procedures that are
used in business systems such as descriptive analytics, diagnostic analysis, predictive
analysis, and prescriptive analysis.
According to Mikalef et al. (2018), data mining and data clustering are directly associated
with DA and each of these are very beneficial to reduce the computational errors of the
business systems. The DA tools are very much significant in maintaining the strategic goals
of the business systems. On the other hand, as discussed by Verhoef, Kooge & Walk (2016),
cloud infrastructure, which is common for every business system, is maintained with the

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help of DA. The scholar of this resource added that business operations and risk management
procedures of the business systems could be upgraded using DA tools as well.
However, as elaborated by Zhong et al. (2017), most of the system risks of the business
systems are addressed with the help of the role played by the system analysts who have in-
depth knowledge about every emerging trend like DA. The scholar stated that DA tools are
very much significant to understand the exact requirement of the stakeholders of the business.
User participation in design
As discussed by Mehta & Pandit (2018), the role of each stakeholder who is developing
diverse categories of business systems is highly important to understand the contribution of
the business systems. The researchers stated that sharing of knowledge is very much essential
to enhance the capabilities of any business system.
Role of system analysts
On the other hand, as described by Pouyanfar, Yang, Chen, Shyu & Iyengar (2018), the role
of the system analyst is highly important to solve the challenges of the business systems
which are deployed across disruptive business environments. The scholars stated that
modifications required in the business system is selected and evaluated by the system
analysts. The report generating capability of a system analyst is very much required for the
selection of an appropriate business system in a business environment. The researchers also
added that a system analyst plays a huge role regarding the implementation of business
systems using systems development life cycle. As explained by He, Yu, Zhao, Yin, Yao
(2016), most of the challenges of implementing the emerging trends and business systems are
addressed by the system analysts. The researchers of this journal article added that new
training modules are created in IT-based technological training sessions which are
conducted by the system analysts of the business.

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Identification of stakeholders
There are diverse categories of stakeholders associated with the creation and deployment of
the emerging trends for the business systems in our society. According to Akter et al. (2016),
the role of the big data programmer, business intelligence consultant, business solution
architects, campaign experts, system analyst, data architects, data engineers, data explorers,
data integration developers, data manager, data miner, and data scientist is very much
significant for the effective use of the DA tool in a disruptive business environment.
Obtaining the requirements
The conduction of the business analytics program is very much significant to understand the
exact emerging trends which must be aligned with the use of business systems (Alipourfard,
Liu, Chen, Venkataraman, Yu, 2017). Data visualization software and data management
programs assist the DA tools in identifying the exact requirement of the stakeholders of the
business. The exact software or IT skills required to incorporate any trend for a business
system can be understood from these analytics programs. The need for the exact database can
also be verified from these analytical sessions as well. The business procedures must be
evaluated without any sort of errors before the incorporation of an emerging trend for the
business systems. As mentioned by Wang et al., (2018), a data-driven culture is maintained
in the first place with the help of DA well. The scholars of this journal article stated that the
collaborative performance of the stakeholders of a project can be improved using the
DA tools (Xu, Frankwick & Ramirez, 2016). The scholars also described that organizational
design strategy can also be created with the help of the recent trends of the business systems.
Organizational information processing theory is also considered by the IT experts who
enacts this technology in a commercial setting to create an organizational culture.

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Challenges
There are diverse categories of challenges and limitations related to the deployment of data
analytics such as the management of the fundamentally biased business data,
management of the user-level execution in the selected channels, and management of the
user-level data (Wang et al., 2018). The complexities of the DA tools are also a huge source
of concern for all the system analysts all over the globe. Inappropriate use of the DA tools for
any act of terrorist activities is also considered as one of the prime drawbacks of this trend.
Huge additional investment is required from the investors of the business to incorporate any
sort of business system in a disruptive business environment.
Breaching customer privacy is a major disadvantage associated with the use of DA tools like
Apache Hadoop. According to Sun et al. (2016), the security of the financial transactions
which are done using the business systems can be successfully compromised by the social
engineers. This journal article highlighted that any kind of privacy issues can have both
business as well as reputational loss for the business. The scholar highlighted that the
deployment of an effective Information System strategy can be very much essential to
address most of the challenges of DA tools which are commonly used in business operations.
As discussed by Wang et al. (2016), the selection of the appropriate Information System
strategy for the business systems is important to address the challenges of a business. The
selection of the business system can be done on the basis of Strategic Information Systems
Planning as well; the competitive advantage of using the business system can be understood
from this concept as well.
Opportunity
The latest development in the field of data science has led to the growth and enactment of
numerous DA tools and systems such as Rapid Minor and Apache Spark (Dai, Wong,

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Wang, Zheng, & Vasilakos, 2019). The deployment of these tools is important to conduct
complex statistical calculations in an accurate modus. Most of the data transformation
issues faced across different businesses shall be solved in the coming years due to the use of
these DA tools. The computation power of the business systems is also expected to
enhance due to the use of the DA tools. The interactive queries of the business shall be
solved at a much faster rate due to the use of these tools as well. Numerous iterative
algorithms can be auto-generated from the business systems with the help of the DA tools as
well (Ahmed, Yaqoob, Hashem, T., Khan, Ahmed, 2017). The fault tolerance capability of
the business systems is also expected to improve due to the use of DA. The capabilities of the
in-built machine learning libraries of the business systems is also expected to get optimized in
the coming years due to the use of data analytics. Thus, it can be predicted that business
innovation and enhanced customer service are the prime opportunities related to DA from
which commercial establishments are hugely benefitted.
Future trends in business systems analysis
Adapting to new IT technology, advancements in the field of cloud computing,
advancements in the field of data science are the three major future trends related to
business system analysis (Wamba, Gunasekaran, Akter, Ren, Dubey, 2017). Each of these
trends is going to improve the challenges faced in the business, such as identification of the
disruptions in a business or any other workforce-related issues. The future trends of business
system analysis is very much promising in the coming years, and it will be very beneficial for
the progress of the business.
Considerations
As explained by Wang, Kung & Byrd (2018), the transactional model of communication
can be very much useful for the stakeholders of any business, which works with emerging

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trends such as cloud computing and DA. The scholars of this journal article stated that most
of the common challenges of business systems which occur due to communication issue can
be resolved using this model. The journal article also highlighted that the reliability of the
connected messages can be enhanced with the help of the transactional model.
However, as stated by Ahmed et al. (2017), organized managed and business ethics is created
with the help of the stakeholder theory. The multiple constituencies which are impacted by
a business can be managed in the first place if all the stakeholder stays connected with each
other. The journal article also suggested that the communication needs of the business
systems can also be fulfilled using the stakeholder theory as well. Thus, it can be said that the
challenges of the trends of the business systems can be controlled with the help of
stakeholder theory as well.
Impact of the trend on business analytics practise
There are numerous trends that are followed by most of the business systems which are used
across diverse commercial establishments such as the online data collection of the review of
the consumers who have enjoyed the service of the business. Automatic Information
Analysis is the other major trend that is followed by most of the business systems to store
and manage the details of the data which are stored in the organizational databases (Wang et
al., 2016). Cross-functional integration is the other major trend which helps the business
organizations to manage and maintain the business systems with the other IT systems such as
the Customer Relationship Management which helps in maintaining a good relationship
with the consumers of the business (Akter, Wamba, Gunasekaran, Dubey & Childe (2016).
All the real-time customer data are now managed in a systemized modus with the help of
the current business systems across the business organizations.

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The amalgamation of DA tools is much convenient for the creation of new business
requirements from the perspective of a system analyst (Xu, Frankwick & Ramirez, 2016).
The use of these tools has helped commercial organizations to reduce their business costs and
the other operational costs of a business.
DA tools have helped to increase the sales and net profitability for most of the commercial
establishments. The data interpretation and the data management capability of the business
organizations are also improving due to the use of DA. The decision making abilities of the
system analysts are also improving due to the use of the DA tools. New and innovative
services are now provided by business organizations as these tools can be used to study and
understand the expectation of the consumers, thus consumers of a business can also be
retained using DA tools as well.
The role of the business analysts is also very significant regarding the enactment of DA
across business analytics practice (He, Yu, Zhao, Yin, Yao, 2016). The digital initiatives
which are taken by the IT team of business also get the support of data analytics. The skill
level of the workforces is being improved due to the use of data analytics in the training
sessions. Business challenges such as communication issue among the stakeholders are
also getting reduced due to the use of business systems which works on a collaboration of
latest trends like DA. Thus, from the perspective of a system analyst, it can be said that trends
like the use of DA have a positive impact on business systems analysis.
Based on the latest trends of business systems, it can be said that all the business
organizations in the world are in the verge of getting more advanced and fully automated
business systems which shall be considering most of the reliable trends which can boost the
productivity the business organizations (Verhoef, Kooge & Walk, 2016). Data analytic tools
shall not be having any sort of compatibility issues with any of the future business

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systems. Even though, huge changes are expected regarding the responsibilities of the
business analysts.
Conclusion
The above research was very much informative, the readers of this report can understand the
significance of business systems from the perspective of a system analyst who understands all
the implications of the current and future trends business systems. DA tools can be very much
significant to maintain the integrity of the raw data. Computations errors in a business can be
avoided using the business systems, at the same time, these systems can help in
understanding the requirement of the stakeholders of a business as well. The role of the
system analysts is very significant during the enactment and the effective working of business
systems. Data management program, data visualization software, and DA tools work closely
with each other to understand the requirements of the stakeholders of a business.
Fundamentally biased business data, management of the user-level data, and user-level
execution in the selected channels are the prime challenges faced by the DA tools while
understanding the requirements.
Computation power of business is expected to improve in the coming years, at the same time
to time taken to solve the interactive queries shall also reduce in the coming years. Adapting
to new IT technology, advancements in the field of cloud computing, advancements in the
field of data analytics are the three major future trends of the current business systems. The
current business analytics practices like data collection, automatic information analysis and
cross-functional integration have enhanced due to the use of DA tools. The current DA tools,
like Apache Hadoop shall not be having compatibility issues with future business systems.

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