Business Intelligence Impact on Malaysian Listed Companies Report

This report examines the strategic impact of Business Intelligence (BI) utilization, focusing on Malaysian public listed companies. The analysis explores how BI contributes to enhanced economic, environmental, and social performance. The literature review highlights the importance of BI adoption across all functional areas for creating value and achieving sustainability. The report details strategic applications of BI, including data integration, advanced analytical capabilities, and content quality improvement in business processes. The findings emphasize BI's positive impact on stakeholder interests and its role in driving better business decisions, identifying market trends, and improving overall business outcomes. The conclusion stresses the significance of BI for both businesses and the economy, emphasizing its role in strategic planning, performance improvement, and gaining a competitive edge. The references include a range of journal articles and books that support the analysis.

Data Handling and Business
Intelligence

TABLE OF CONTENTS
INTRODUCTION......................................................................................................................3
LITERATURE REVIEW...........................................................................................................3
STRATEGIES APPLICATION OF BUSINESS INTELLIGENCE.........................................4
CONCLUSION..........................................................................................................................5
REFERENCES...........................................................................................................................6

INTRODUCTION
Business intelligence mainly refers to the group of processes and technologies which
assists in converting the raw data into useful information which helps in driving profits to the
business. It is a suite of the software and the services which is being helpful in the
transformation of data into the actionable intelligence. The chosen article is on the analyzing
the strategic impact of the business intelligence utilization over the Malaysian public listed
company. The article “Realizing the strategic impact of business intelligence utilization”
states about the important of Malaysian Public Listed Companies to the Malaysian economy
and how the use of BI can be useful in optimizing the business. It has three major impact
which are – enhancing the economic performance, strengthening environmental performance
and reinforcing social performance.
LITERATURE REVIEW
This article is in the context to the Malaysian public listed companies which
highlights about the impact of BI on the companies and the way in which it can help in
attaining sustainability. The paper argues that the just adoption of the BI without anu
utilization in the business processes and the decision making will not create any value and the
positive impact of it can be seen by making it useful in across all the functional areas. The
purpose of the author in writing the article is to identify and realize the impact of BI
utilization in regard to the Malaysian public listed companies (Lim and Teoh, 2020). The
author Yu Yin Lim works as a consultant in offering coaching and the consultancy services
for growing organization and striving towards sustainability and Ai Ping Teoh is a lecturer at
Faculty of Business, Universiti Sains Malaysia. She is specialized in BI, enterprise system,
Web-based Strategy etc.
With the upgradation in the technology has resulted into involvement of the
software’s and the technological system which provides support to the business organisations
in effectively analysing and interpreting the financial data which has resulted into increasing
the importance of the concept which is being only possible because of the ‘big data’ as given
in the article. The BI is being adopted by the most of the large organizations which has
helped them in effectively analysing the business results by making a comparison between
the present and the historical data from the business point of view (Ain and et.al., 2019).
Malaysian public listed companies play an important role in economic development and
growth of the Malaysian economy and therefore, business sustainability is a major concern.
Thus, the businesses can attain sustainability through the way of empowering the business

analysis, performance and reporting management. The outcome of the business intelligence is
not only helpful in the effectively attaining the desired results but will also useful in
determining the areas where more focus or improvisation is necessary. By making use of the
BI in the company will contribute towards gaining more useful information through which
the management can undertake business related decision in a better way (Appelbaum and
et.al., 2017). Analyst can make use of BI in providing performance and eth competitors
benchmarks in order to run the business smoothly. It helps in identifying the market trends
based on which strategies are formulated and implemented leading to greater revenue and
profits.
Therefore, based upon the literature review and the article provided it can be said that
the business intelligence is having a long lasting and positive impact over the business
organization. BI helps in addressing the interests of the various stakeholders along with
working towards attainment of sustainability. This impact will be result into bringing lot of
advantages to the business organizations which in turn will be beneficial from the economy
point of view as well. This helps in strengthening the environmental performances and faster
and easier access to the information resulting into improving the business performances.
STRATEGIES APPLICATION OF BUSINESS INTELLIGENCE
There are various strategic application of business intelligence in the business which
can add value to the business.
Data integration
Data integration mainly refers to the process in respect to combining data from the
various sources. The integration procedure initiates with the ingestion process and will
include the other steps like cleansing, mapping and transformation. The data integration
application of the BI will assist the company in taking measures to integrate its data properly
(Reshmi and Balakrishnan, 2018). The automation will be unified in such a way which will
result into cutting the need to manually gather the data and the employees would not be
required to build the connection from the zero level. This will help in reducing the chances of
errors or rework, as earlier data were gathered manually which was prone to human mistakes.
Along with this, without a proper data integration solution it would be difficult to
synchronize the data which may account for redoing the reporting for making any changes.
Analytical capabilities
The analysts can make use of the data analysis layer for the purpose of performing the
more complex analysis, for example, mashing up the data, slicing of data, developing

predictive models and along with this, performing the advanced analytics in order to uncover
the insights which is not apparent from the dashboard (Kulkarni, Robles-Flores and Popovič,
2017). BI helps in doing predictive analysis in which millions of data of the customers and
the product is being collected and observed in order to suggest products and services on the
basis of the location. In social analytics, it assists in determining the frustrated customers
through the social media and based upon which service is being provided to them in a timely
and fashionable manner in order to satisfy them. BI is also useful in identifying the sentiment
in respect to a particular brand by the way of analysing the social media feeds. This helps in
formulating the strategies in order to effectively deal with the market competition.
Content quality in business processes
Content quality refers to the data which is being made available through business
intelligence is helpful for the businesses in an effective manner. The quality of information
which is being provide by the BI is helps in carrying out the business process in a better and
smooth manner resulting into quality results (Berlanga, Lanza-Cruz and Aramburu, 2019).
The content derived from this is very useful for the businesses in undertaking business related
decision in respect to the future growth and prospects. The quality information provided from
this can be easily understood by the users leading to performing the activities quickly and
efficiently. An example for this is, businesses can easily identify the changes in the customers
tastes and preferences post Covid-19, which will help the business in coming up with such
products and services which will be useful in meeting with the customers tastes and
preferences.
CONCLUSION
From the above, it can be inferred that the business intelligence is of great importance
to not only the businesses but also to the economy as a whole. It will help in enhancing the
economic performance as the BI has a significant correlation with the impact pertaining to the
routine and the innovative performance dimensions. Also, companies can work on improving
its cost efficiency in further addition to the revenue. It strengthens the environmental
performance as BI tools assists in strategic planning, improvisation in the performance and
establishing competitive edge results into undertaking valuable business decisions. BI also
has an impact on reinforcing social performance, as it can help the public listed companies to
get insights about their employee’s morale and other concerns which adds to human capital
development. BI also uncovers the potential areas for the purpose of contributing to the
society through the proper corporate social programs.

REFERENCES
Books and Journals
Ain, N. and et.al., 2019. Two decades of research on business intelligence system adoption,
utilization and success–A systematic literature review. Decision Support
Systems. 125. p.113113.
Appelbaum, D. and et.al., 2017. Impact of business analytics and enterprise systems on
managerial accounting. International Journal of Accounting Information
Systems. 25. pp.29-44.
Berlanga, R., Lanza-Cruz, I. and Aramburu, M. J., 2019, October. Quality Indicators for
Social Business Intelligence. In 2019 Sixth International Conference on Social
Networks Analysis, Management and Security (SNAMS) (pp. 229-236). IEEE.
Kulkarni, U., Robles-Flores, J. A. and Popovič, A., 2017. Business intelligence capability: the
effect of top management and the mediating roles of user participation and analytical
decision making orientation. Journal of the Association for Information
Systems. 18(7). p.1.
Lim, Y. Y. and Teoh, A. P., 2020. Realizing the strategic impact of business intelligence
utilization. Strategic Direction.
Reshmi, S. and Balakrishnan, K., 2018. EMPOWERING CHATBOTS WITH BUSINESS
INTELLIGENCE BY BIG DATA INTEGRATION. International Journal of
Advanced Research in Computer Science. 9(1).