Business Intelligence and Data Handling: A Comprehensive Report

This report delves into the interconnected concepts of data handling and business intelligence, emphasizing their critical roles in modern business operations. It begins by defining business intelligence as a process that utilizes data analysis to inform decision-making, improve economic outc...Read More

Data Handling And
Business Intelligence

Table of Contents
Information about Literature............................................................................................................1
Take knowledge and understand the subject...................................................................................1
Critical Analysis...............................................................................................................................2
Practical Application and preparation..............................................................................................3
Skills for Professional Practice........................................................................................................4
REFERENCES................................................................................................................................5

Information about Literature
This report is basically discussing about the research of data handling and business
intelligence. According to this report it analyses the basic concept of business intelligence it can
be define as the procedure in which data is operate and present and help to analyse the data of the
company and provide assistance in decision making. It is used as a tool for taking out the biggest
data for the businesses. In simple words, business intelligence assists in raising the economic
results and strengthen the feasibility of the firm in the business environmental factors (Abdallah
and et.al., 2020).
According to the Mike YI (2021) it describe the business intelligence in such a way that it
helps the firms to analyse and interpret the results for creating large and detailed organization
decisions. It only can be possible with the assistance of technology advancement and the
techniques which are used by utilizing various kinds of tools and methods which can assist in
visualizing the information. It could also help in observing the result of the entities.
Basically for the organizations it’s very important to handle the data of business intelligence. It
assists in succeeding the secret or important information which helps in creating the outcomes
for it. The outcomes is used for producing the future decisions for increasing the efficiency and
feasibility of the organizations for administrating the market research and showing the good and
positive outcomes in front of the board members and management of the entity (Shahid and
Singh, 2019).
Take knowledge and understand the subject
In the concept of data handling basically it describes that it is the procedure in which it is
useful for bringing out the analysis which helps to secured the data in a safe place with full
honesty into the business. They give a solution for the issues of importance, holding, for safe
keeping and the security of the data in which the company is used for analysis the large data and
organizing the market interpretation. In basic sense, data handling is very crucial for interpreting
the productivity of the large data and recording the data so, that they can't rub and misplaced by
the users. It provides assistance in recording and showing the detail of data handling for creating
it own decisions and forecasting. Which depends upon the detailed analysis and relating the
factors of the informational targets (Aldea and et.al., 2018).
It can also define as the procedure in which the constructor and technology of business
intelligence helps to make data into a productive detail that also create profitable situation to the
firms projected task. In simple words it is a kind of software programs and services which also
influence the data into measurable intelligence and knowledge. It instantly creates an impact of
the company strategy, activity, projected tasks and its business decision making. It also leads the
actual based decisions it basically use historic data rather than the assumptions. Here are some
tools of which to execute the task of business intelligence by making maps, graphs, charts and
reports that also give full detail to the users about the features of company. It also provides some
significance of business intelligence such as; it mainly provides the assistance to the firm for
identifying the upcoming trends of the market and it also determine the company issues that very
crucial to find because it assist the firm to take decisions and creates competitive advantage for
the entity. Another significance it helps the organization for data visualizing and highly effective
to make better quality data and decision making (Chung and Zeng, 2020).
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Critical Analysis
After studying the above environmental factors, it basically researched about how
business intelligence use statistical techniques for executing and analysing the availability of the
performance. In it, the results of various kinds of years need to be interpret by viewing the
present and past data of the business. It estimates the result of the firm and create the critical
decisions on that basis which also effect the sales revenue, profitability and efficiency of the
organization. It also creates a big impact on the consumer experience if it provides a deep insight
to the information and also high the worth of customer and capable stakeholders. In general data
handling is also the part of business intelligence. It comprises many purposeful tasks in which
one is data handling. It mainly uses to put effort on firm and manage the data in a purposeful and
in a very organized way. Because it increases the level of large data which is operated by the
organization, it was not possible for an individual person to interpret it. Here are some various
tools, methods and software which are really helpful to manage the data for getting the better
outputs to the betterment of the entity (Duin and Tham, 2020).
For improving the quality of data its mandatory for the organization. Which assists in
contour the procedure of business intelligence. In other words, whenever the business
intelligence is generated it is executed as a time – based task. It tries to utilize the various kinds
of stages for the standardised report and used as sample of data analysis for conducting
innovative interpretation. On the basis of above analysis, it could be discussing about that these
both environmental factors, data handling and business intelligence is affiliated to each other. It
assists in removing the hidden and important detail which could be lost out due to unorganized
creating of the detail.
Practical Application and preparation
The company utilize various types of tools and methods for preparing the data in a core
manner. This solution is used to create cloud environment for preparing the online applications
of the organization which completely related to the business intelligence. The basic use of
software and technology is the combination of increasing the objectives of business intelligence
and interpreting in the organization. For example: Flip Kart uses the technique of business
intelligence for individualising the suggestion and the goods and services for continuously
growing the supply chain of the organization. They also assist amazon in finding the inventory of
the storehouses and its maintain a decent supply procedure for the firm (Erkayaoglu and
Dessureault, 2019).
Let's take one more example that it could be cafe coffee day they use more aggregate to
buy the individual data of millions of consumers. They utilise it to forecast the interest and taste
of customer. It considers that it provides the firm a large benefit for often increasing the sales
ability of the organization.
It also discusses. That these business intelligence assists in managing of the data and
increases the productivity of interpreting the large detail that can be important for the
organizations. This leads to the big IT areas to help in investing the enterprise in the solution
which are created from business intelligence. It provides a growth to the organizations and
succeed in increasing the profitable situation of the firms (Naugler and Church, 2019).
Skills for Professional Practice
In the concept of professional practice, an individual person who is a part in making the
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decisions must need to have an exact and heavy knowledge about running of the large data. In
this, the capability that an individual should already have is of interpreting and estimating the
data critically and need to have the better information about the industry (Klingenberg, Borges
and Antunes Jr, 2019).
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REFERENCES
Books and Journals
Abdallah, M and et.al., 2020. Artificial intelligence applications in solid waste management: A
systematic research review. Waste Management. 109. pp.231-246.
Aldea, A and et.al., 2018, October. Enterprise Architecture 4.0–A vision, an approach and
software tool support. In 2018 IEEE 22nd international enterprise distributed object
computing conference (EDOC) (pp. 1-10). IEEE.
Chung, W. and Zeng, D., 2020. Dissecting emotion and user influence in social media
communities: An interaction modeling approach. Information & Management. 57(1).
p.103108.
Duin, A.H. and Tham, J., 2020. The current state of analytics: Implications for learning
management system (LMS) use in writing pedagogy. Computers and Composition. 55.
p.102544.
Erkayaoglu, M. and Dessureault, S., 2019. Improving mine-to-mill by data warehousing and data
mining. International Journal of Mining, Reclamation and Environment. 33(6). pp.409-
424.
Klingenberg, C.O., Borges, M.A.V. and Antunes Jr, J.A.V., 2019. Industry 4.0 as a data-driven
paradigm: a systematic literature review on technologies. Journal of Manufacturing
Technology Management.
Naugler, C. and Church, D.L., 2019. Automation and artificial intelligence in the clinical
laboratory. Critical reviews in clinical laboratory sciences. 56(2). pp.98-110.
Shahid, A.H. and Singh, M.P., 2019. Computational intelligence techniques for medical
diagnosis and prognosis: Problems and current developments. Biocybernetics and
Biomedical Engineering. 39(3). pp.638-672.
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