Comprehensive Report: Data Handling and Business Intelligence Trends

This report delves into the concepts of data handling and business intelligence, emphasizing their significance in modern business management. It begins by defining data handling as the process of recording, compiling, and utilizing data for future applications, and business intelligence as the strategic use of technologies to analyze company information. The report then explores current trends in business intelligence, highlighting the importance of data quality management, the role of data in sales and marketing, data discovery techniques, and the integration of artificial intelligence and machine learning. The report draws on multiple sources to discuss the advantages, such as improved decision-making and long-term data storage, and disadvantages, such as potential data interpretation issues and security concerns, of implementing business intelligence. Ultimately, the report concludes that data handling and business intelligence are essential for effective business operations, especially in an increasingly data-driven world.

DATA HANDLING AND
BUSINESS INTELLIGENCE

Table of Contents
Table of Contents.............................................................................................................................2
INTRODUCTION...........................................................................................................................3
MAIN BODY...................................................................................................................................3
CONCLUSION................................................................................................................................5
REFERENCES................................................................................................................................6

INTRODUCTION
Data handling is referred to as the process through which the data is recorded and
compiled so that it can be used for future use. On the other hand, business intelligence is referred
to as the strategies and technologies which are being used by the companies in order to analyse
the information of the company. In the present report the current trend in the business
intelligence will be discussed.
MAIN BODY
In the words of Mitrovic (2020) data handling is the process through which all the data is
being collected and assimilated and gathered at one place. Further the data is analysed in order to
read and analyse the data and then draw some conclusion from the data. The major purpose of
using the data handling is to make sure that the data is kept safe and secure in the business.
While operating the business there are many different types of data being used for the running
and operations of the business. Hence, this requires that all the data is being kept safe and secure
and help the company in managing all the activities of the business.
But in against of this Alpar and Schulz, (2016) states that there are different department
within the business like sales, marketing, consumer analysis, development in the technology,
data relating to buyers and their preferences. All these data will help the company in identifying
the trend going on in the market and then to analyse all these trends and then adapting to the
business so that the business can be developed. Hence, this data handling will help the
companies in managing their data for future use. For instance, if ASDA wants to analyse the
consumer preference to the product of ASDA over consumer then they can take into
consideration the past records then the average of these data can be used as basis of analysing
future trend.
As per the views of Wani and Jabin (2018) business intelligence is the use of different
types of application, strategies and technologies which is being used in the integration,
assimilation, analysis and presentation of all the data within the business. This business
intelligence tool is taken as help for the business decision making and this will help the company
in integrating the business decision and data for taking the different decision relating to the
success of company.

In accordance with the thinking of Stephen and ManickaChezian, (2017) states that the
use of business intelligence is very helpful of the company in attaining success and growth. This
is majorly because of the fact that when the technology is being used by the company for the
recording of the data then the data is stored and analysed in proper manner. Hence this will assist
the business in analysing and evaluating the data with more accuracy and precision because the
technology ensures that the data is being analysed in effective and efficient manner.
On the other hand, Ogudo and Nestor (2018) articulates that the major advantage of the
use of business intelligence within the business is that the information is stored for a longer
period of time. Hence, this will assist the company in using the data even after a long period of
time and the data will be in the same manner like it was stored for the first time. Also, another
major advantage of the use of business intelligence is that with this use of technology will help
the company in managing the business and knowing the KPI that is key performance indicator.
This KPI help the company in comparing its performance on basis of different indicators like
profit, sales, use of technology, number of consumer and many other different indicators. Hence,
this will assist the company in comparing the performance of company with past performance
and with other competitors as well.
In addition to this Kumari (2018) argues that the major drawback of using this business
intelligence is that with these data it can be analysed in different manner. This is majorly
pertaining to the fact that every person has their own ideas and perception and way of thinking
and it is not necessary that the data is analysed in the same manner as intended by one person.
Thus, the same data can have different interpretation in accordance to the level of understanding
of the reader. Thus, the same data can have different and contrasting meaning and interpretation
of the same data. Another major drawback of this type of business intelligence technology is that
the data is not secured and is questionable that is whether the data will be kept safe and secure or
not. This is majorly pertaining to the fact that when the competition within the market is very
high and it is not necessary that the data is not necessary that the data is safe and secure.
As per the views of Sugumaran, Sangaiah and Thangavelu (2017) the major leading trend
of business intelligence is the data quality management. This is the most important thing because
if the data will not be of good quality then the storage of data will be of no use. Hence, for this it
is necessary that the data is complete and valid and unique. Another major trend of the use of
business intelligence and data handling is that this is a good source of managing the sales and the

marketing department of company. This is basically because of the fact that when it comes of
marketing and sales the past data and information is very helpful in analysing the future trend.
This is because by evaluating the past data and records relating to the sales and marketing it is
important for the company to have past records kept safe and secure for future use. This help the
business in developing the accuracy of the sales and the targeted sales and to measure the impact
of marketing over the consumer and the taste and preference of the consumers.
But as per the views of Bordeleau, Mosconi and Santa-Eulalia (2018) the major trend of
the use of business intelligence and data handling is the data discovery. His is majorly because of
the reason that the data discovery is the process which is aimed at detecting the pattern of the
sales or any other data and then using that pattern try to predict the future. For instance,
Sainsbury by taking into account all the past record which will help the company in analysing
and interpreting the data and then to predict the future sales. Also, another major trend in the use
of business intelligence is the use of artificial intelligence and the machine learning in the
business. This is necessary because of the fact that when this is helpful for the business in the use
of data for the future use.
CONCLUSION
In the end it is concluded that the handling the data and the use of business intelligence is
very necessary for the management of the company. This is majorly because of the fact that if the
company will not use the data technology then this will not be good and effective for the
working capacity of the company. Thus, the present report discussed about the concept of both
data handling and business intelligence. Also, the discussion was done on the trends of business
intelligence like use of artificial intelligence, data discovery and many others.

REFERENCES
Books and Journals
Alpar, P. and Schulz, M., 2016. Self-service business intelligence. Business & Information
Systems Engineering, 58(2), pp.151-155.
Bordeleau, F.E., Mosconi, E. and Santa-Eulalia, L.A., 2018, January. Business Intelligence in
Industry 4.0: State of the art and research opportunities. In Proceedings of the 51st
Hawaii International Conference on System Sciences.
Kumari, N., 2018. Data Management, Data Analytics, and Business Intelligence Can Assist in
Process Management and Process Improvement Efforts. Data Analytics, and Business
Intelligence Can Assist in Process Management and Process Improvement Efforts
(March 14, 2018).
Mitrovic, S., 2020. Adapting of international practices of using business-intelligence to the
economic analysis in Russia. In Digital Transformation of the Economy: Challenges,
Trends and New Opportunities (pp. 129-139). Springer, Cham.
Ogudo, K.A. and Nestor, D.M.J., 2018, August. Modeling of an efficient low cost, tree based
data service quality management for mobile operators using in-memory big data
processing and business intelligence use cases. In 2018 International Conference on
Advances in Big Data, Computing and Data Communication Systems (icABCD) (pp. 1-
8). IEEE.
Stephen, S. and ManickaChezian, R., 2017. Extracting Structural Data For Business Intelligence
Using Cluster Data Mining. International Journal of Computational Intelligence
Research. 13(7). pp.1765-1775.
Sugumaran, V., Sangaiah, A.K. and Thangavelu, A., 2017. Computational Intelligence
Paradigms in Business Intelligence and Analytics. In Computational Intelligence
Applications in Business Intelligence and Big Data Analytics (pp. 19-30). Auerbach
Publications.
Wani, M.A. and Jabin, S., 2018. Big data: issues, challenges, and techniques in business
intelligence. In Big data analytics (pp. 613-628). Springer, Singapore.