Data Handling And Business Intelligence (Assessment 1)

This report explains the importance of data handling and business intelligence in decision-making criteria and organizational performance. It also discusses the strategic impacts and benefits of business intelligence utilization in Malaysian public listed companies.

Data Handling And Business
Intelligence

Table of Contents
INTRODUCTION...........................................................................................................................3
MAIN BODY..................................................................................................................................3
CONCLUSION................................................................................................................................5
REFERENCES................................................................................................................................1

INTRODUCTION
Data handling is regarded to be one of the finest entities that is usually tackled by many
organisations now and then. There are certain trendsetter pertaining to data handling in the
organisation such that they can contribute over the decision making criteria of the entire
company. In this technology driven approach various organisations are usually practicing
strategic decision making criteria in order to improve their organisational performance. In this
regard the data intelligence is one of the trend that is pertaining with regard to information and
business insights and that can bring about a well decision making policy (Chen and et.al, 2018).
This can also reflect upon the actionable information that is to be provided over the managerial
decision making criteria and that has initiated the conceptual performance and appropriate
practices using the big data analysis. The report brings about a review over the article realising
the strategic impact of business intelligence utilisation and this trend which is being pertaining in
organisations in order to bring about a very good organisational culture. All the analytical
capabilities are being discussed along with the strategic impacts.
MAIN BODY
The research is oriented with a highly competitive and dynamic business environment that
intends to bring about information in order to strengthen the decision-making policy. This is
reflected over the article realizing the strategic impact of business intelligence utilisation where
there are certain trends that are being provided. It brings about certain facts of the management
practices are said to be the ones that will come by in every criteria of decision making and that
will reflect upon the organisational performance. In this regard business intelligence is said to be
one of the most important aspect where the management information systems will include into
transforming the data which will bring about informed decisions (Du and et.al, 2020). Analysing
data is regarded to be one of the most prominent technology-driven process where there are
certain actionable information that are being managed over a proper decision making criteria. On
a whole the business intelligence is regarded to be one of the most probable entity where the
availability of big data is regarded to be one of the important concept in this. The business
intelligence is also regarded to be one of the biggest trend that is pertaining in organisations
where it will also bring about an appropriate tool to work with big data. This can speed up every
decision making criteria and in a right pattern. Business intelligence is composed of many
dimensions as well as many criteria that will bring about data integration analytical capabilities

business processes along with the content quality and decision making culture. This regard to be
the finest decisions that are portrayed upon various organisations and in the public listed
companies this is one of the biggest benefit that they are dealing with. They can also potentially a
red in the system and that will bring about an adoption of various business policies during which
the business intelligence is said to be one of the perpetual component that can translate business
value (Nguyen and et.al, 2019). When business intelligence is going hand in hand with the larger
organisations there is an unclear approach whether the organisations are more into bringing
about benefits that are listed with the potentiality. The research paper that is oriented with this
particular article will emphasize upon the fact that the minimum business intelligence criteria is
applied over the utilisation of key business processes and that will reflect upon decision-making.
This can also translate every business value that is one of the important strategic orientation.
There are certain functional areas in the organisation which utilizes business intelligence as one
of the biggest tool to work with big data. The organisational functional units are the adoption of
definite translated business values and that is what is being depicted by the business utilisation
criteria. One of the important factor that is most seen in striving towards business is maintaining
sustainability. The review of article emphasize upon the Malaysian public listed companies.
There is said to be an emerging market in the Malaysian listed companies and this country is
regarded to be one of the important criteria in this. There are certain household findings and
private investments which are regarded to be high. The country Malaysia is growing in terms of
its economy and it is also regarded to be one of the fastest growing country in the terms of
economy. The growth prospect of this is said to be one of its base line protection and it has a
growth rate of 4.3 and 4.8 per year. The biggest contributors for the Malaysian economy are the
public listed companies in Malaysia. Their contribution is very significant when it comes to
maintain the business sustainability and that is what is being depicted in this review (Armaghani
and et.al, 2020). A critical concern is being raised by many other companies that will bring about
and evidence of certain industry reports and the news that is in relation to business. Since this is
being listed as one of the most prominent aspects there is also certain pressure that is being
imposed upon by the stakeholders and this will have to be dealt in a wider context with regard to
all the political social changes and intensified global competition. With all these factors that will
become a difficulty in order to maintain sustainability and the companies will also be at risk. It is
necessary to examine sustainability at all prospects and to ensure our people profit and planet

(Bittig and et.al, 2019). Business sustainability and the factors that are included in rates can be
effectively maintained with all the knowledge that can be optimised upon managing the
performance as well as the interest of stakeholders such that a kind of sustainable atmosphere
can be maintained. This is strategic driven approach and the different impacts that are included in
strategies are also listed in the review. Through strategic impact one, one can easily understand
the factor enhancing economic performance. By the usage of business intelligence that can be a
positive impact over the organisation and their performance dimensions. This can be the one that
is revolving around the marketing and sales of the organisation and that will bring about an
internal procurement. Business intelligence utilisation which has been one of the biggest trend is
being included in order to determine the trends that are pertaining with regard to the customer as
well as their request upon anticipating certain behaviour from the organisation (Liu and et.al,
2019). To reach the fundamental goals of the organisation these are the particular approaches
that they usually identify and will address. In this manner the productivity improvement can be
gratified. The strategic impact two will bring about the ideology of strengthening environmental
performance and that is seen in almost all the organisational planning which brought about
improvement in the performance as well as to gain competitive advantage. The strategic impact
theory will bring about the reinforcing social performance which is important in order to improve
the business processes and also to draw more number of opportunities that are a rational for
intelligence. The business intelligence is also one of the significant move that will bring about
sharing of knowledge and innovation ideas. This can also help the public listed companies in
order to involve into different corporate and social activities. There can also be a good reputation
with regard to the corporate atmosphere and the performance of the organisation can be
maintained on a durable basis.
CONCLUSION
The report concludes upon explaining the aspect of data handling to be one of the most finest
entities. There are certain decision-making criteria that are being put forth in this report in order
to explain about the organisational performance. The highly competitive and dynamic business
environment along with the decision-making policy and that is being adopted by various friends
that are provided in the organisational performance is being depicted in this report. The concept
as well as the biggest to trendsetter pertaining in the organisations are also explain with

foreigners decision-making policy and that is ported over the benefits that are being included.
The potentiality of the organisation along with the definition factors and using the Malaysian
public listed companies is also explained in this report. The prominent aspect as a part of
stakeholder pressure is also included and finally the sustainability factors along with the strategic
impacts is depicted in the report.

REFERENCES
Books and journals
Armaghani and et.al, 2020. Application of group method of data handling technique in assessing
deformation of rock mass. 1. 1(1). p.001.
Bittig and et.al, 2019. A BGC-Argo guide: Planning, deployment, data handling and usage.
Frontiers in Marine Science. 6. p.502.
Chen and et.al, 2018. TBtools, a toolkit for biologists integrating various biological data
handling tools with a user-friendly interface. BioRxiv, p.289660.
Du and et.al, 2020. Advances of four machine learning methods for spatial data handling: A
review. Journal of Geovisualization and Spatial Analysis. 4. pp.1-25.
Liu and et.al, 2019. Wind speed forecasting models based on data decomposition, feature
selection and group method of data handling network. Measurement. 148. p.106971.
Nguyen and et.al, 2019. A novel analysis-prediction approach for geometrically nonlinear
problems using group method of data handling. Computer Methods in Applied Mechanics
and Engineering. 354. pp.506-526.
Online
Data Handling: [Online]. Available through: < What is Data Handling? | Types of Data
Handling | Examples (cuemath.com) >
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