ITECH 5500: AI in Business Intelligence Research Proposal - Semester 1

This research proposal investigates the transformative impact of Artificial Intelligence (AI) on business intelligence, focusing on how AI algorithms are employed to enhance decision-making processes. The report delves into the challenges of managing large datasets generated by modern business operations, highlighting the utility of big data and data warehouses in data processing and analysis. It emphasizes the role of information technology and AI in streamlining business analysis, thereby reducing costs and improving decision quality. The proposal includes a literature review synthesis matrix, which summarizes key findings from various articles on business intelligence, data mining, and related technologies. The synthesis matrix explores diverse perspectives on AI's applications in business, including topics such as structured and unstructured data, big data analytics, business intelligence systems, decision-making processes, and the evolution of business intelligence frameworks. The research aims to provide a comprehensive understanding of AI's potential to revolutionize business intelligence and its implications for various organizational functions.

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Title
Emergence of Artificial intelligence in Business as Business Intelligence
An interim research proposal
Artificial intelligence is having many algorithms, which can be a part of data analytics in
a form of business intelligence. We can use those algorithms to solve business decision-making
issues. In business, large amount of data has generated from different operations of an
organization. Therefore, it is so difficult to manage that data in a proper way. Big data and data
warehouses are helpful technology to reduce this problem of business analysts for data
processing. We can use information technology to solve a big issue of business, which can
provide a huge help in decision making for different actions in an industry. Most of the
organizations are having their personal information systems to manage different business
processes and operations of an organization. However, there are many other ways are there, but
using information technology and artificial intelligence. We can save time and cost of business
analysis process.
Furthermore, Business Intelligence (BI) will be a future technology, which can change all
the processes of present business management. It includes business theories and data analytics
for generation of reports and many others things, which are beneficial for decision-making. Data
mining is a technology, which can be useful for solving business problems.
Literature Review Synthesis matrix
A synthesis matrix explains about the different ideas of different articles. It will helpful
for designing news system as well as innovation of new concept to solve many issues. There are
many things are associated with the data collection and processing. In this analysis, different
ideas are gathered from different articles. It will helpful for the creation of new idea.
Main Idea A Main Idea B Main Idea C
Article #1 According to (Baars & Kemper,
2008), structured and unstructured
It has provided an
integrated framework
Business Intelligence is a
new way to resolve data

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data is presented in most of the
organization. Therefore, it is
necessary to merge that data in a
proper symmetric way for data
processing and analysis.
to manage data, which
has generated from
different business
processes.
processing issues with
the help of data mining
and data warehouses.
Article #2 According to (Chen, et al., 2012),
Big data is a technology, which
can manage large amount of data
and provides a report within few
seconds. Big data makes a huge
impact in the business intelligence
and decision-making. It compares
different research papers and their
results, which are based on the
Business Intelligence and business
analytics.
Big data makes data
processing and data
analytics easy for non-
technical person as
well. It has explained
about the Business
Intelligence and
Analytics (BI&A)
different versions,
which are BI&A 1.0,
BI&A 2.0, and
BI&A3.0.
Big data is a technology,
which is having artificial
intelligence algorithms to
manage data in a
symmetric way. It
provides different
analytics, which are text
and network analytics,
predictive analytics, data
analytics, web analytics,
and many more.
Article #3 According to (Hočevar & Jaklič,
2010), business intelligence
provides many advantages to grow
business of an organization. It
makes a huge profit of an
organization.
It has provided
different business
terms, which are
helpful for an
organization, such as
Return on Investment
(ROI0, Net Present
Value (NPV), and
internal Rate of
Interest (IRR).
It has explained about the
On-line Analytical
Processing (OLAP)
technology, which can
used for company’s
strategic goals.
Article #4 According to (Isik, , et al., 2013),
Business intelligence expands the
capabilities of business in terms of
decision-making for different
Decision-making is a
process that makes an
organization better in
their field.
In present era, business
intelligence is highly
used for decision-making
because it provides better

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operations of an organization.
Capabilities are a best part of
decision-making process, which
can provide huge benefits to an
organization. In this article,
explain about the capabilities of
business intelligence.
decisions based on the
data of company.
Business intelligence is
based on the data but
sometime it based on the
person who takes
decisions based on the
data analysis.
Article #5 According to (Mentz, et al., 2014),
business intelligence is a better
technology from user support
perspective. It provides better
evolution of data, which is
collected by organization from
different processes.
It has provided a new
evolution technique,
which is useful in
business intelligence
that is Software
Usability
Measurement
Inventory (SUMI)
standardized
questionnaire.
It has provided a new
idea that is based on
these aspects, which are
operability, learnability,
and information
architecture.
Article #6 According to (Obeidat, et al.,
2015), BI is a new trend in the
market. BI provides competitive
advantage to an organization.
BI provides different
advantages to an
organization in terms
of profit and growth of
organization
Big data and data mining
are based on the business
intelligence. It provides a
base for decision-
making. It based on the
data. Therefore, data
collections and
integration are important
part of this process.
Article #7 According to (Turban, et al.,
2010), business intelligence
systems are beneficial for
decision-making using data
OLAP tools are
helpful in decision-
making process of an
organization. In
It has provides some
techniques to overcome
issues of effective
decision making, which

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analytics processes. It provides
extra cost effective and time taking
processes of an organization.
Therefore, organization can make
changes in those processes.
process, all the data
and make an analysis
report. Based on that
report, mangers can
take decisions for
further processes.
are as Increase
knowledge, De-bias
judgment, Be creative,
Use intuition, Don’t
overstress the finality of
the decision, and make
sure the timing is right.
Article #8 According to (Zeng, et al., 2012),
data analytics is a processed in
which large amount of data is
processes and on the basis of that
processed data an organization can
take decision for their marketing
strategies in future. In this article,
explain about the role of different
things in business intelligence. It
has described about the OLAP
technology for better decision
making. It can be used a service
for decision-making process.
Decision-making systems are
based on the integrated data and
processed data.
It has explained about
the different
approaches of data
collection, which is
most important part of
business intelligence
and decision-making
purpose.
It has described about the
unified and integrated BI
framework, which is tight
coupling of different
things with database,
such as WWW, data
warehouse, transaction
system, data mining,
OLAP, and other
components.
This process will provides a conclusion of different studies and use it for new approaches
to reduce decision-making issues. This analysis has provided summary of different articles,
which are based on the business intelligence.

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References
Baars, H. & Kemper, H. G., 2008. Management support with structured and unstructured data—
an integrated business intelligence framework. Information Systems Management, 25(2), pp.
132-148.
Chen, H., Chiang, R. H. & Storey, V. C., 2012. Business intelligence and analytics: from big
data to big impact. MIS quarterly, pp. 1165-1188.
Hočevar, . B. & Jaklič, J., 2010. Assessing benefits of business intelligence systems–a case
study. Management: journal of contemporary management issues, 15(1), pp. 87-119.
Isik, , O., Jones, M. C. & Sidorova, A., 2013. Business intelligence success: The roles of BI
capabilities and decision environments. Information & Management, 50(1), pp. 13-23.
Mentz, J., Jooste, C. & Van Biljon, J., 2014. Usability evaluation for Business Intelligence
applications: a user support perspective. South African Computer Journal, pp. 32-44.
Obeidat, M., North, M., Richardson, R. & Rattanak, I., 2015. Business intelligence technology,
applications, and trends. International Management Review, 11(2), pp. 47-56.
Turban, E., Sharda, R. & Delen, D., 2010. Decision Support and Business Intelligence Systems.
Google Scholar.
Zeng, L., Li, L. & Duan, L., 2012. Business intelligence in enterprise computing environment.
Information Technology and Management, 13(4), pp. 297-310.

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