Information and Big Data Analysis: Supporting Business with Technology

This report provides a comprehensive analysis of big data, defining it as high-volume information stored by organizations to enhance customer service and maintain long-term relationships. It details the five key characteristics of big data: volume, veracity, variety, value, and velocity, explaining their significance in data management and business operations. The report also addresses the challenges of big data analytics, including the lack of skilled professionals and the difficulty in understanding massive data sets. Furthermore, it explores current techniques for analyzing big data, such as machine learning, data mining, and data fusion, illustrating how these tools enable businesses to efficiently process and extract valuable insights from large data sets. The report concludes by emphasizing the role of big data technology in enhancing customer satisfaction, improving decision-making, generating income, and ensuring fast service delivery, ultimately underscoring the importance of information technology in sustaining organizational productivity and performance. Desklib provides access to this and many other solved assignments.

Information and big
data analysis

Table of Contents
INTRODUCTION...........................................................................................................................3
TASK...............................................................................................................................................3
What big data is and characteristics of Big data.....................................................................3
Challenges of big data analytics.............................................................................................4
The techniques that are currently available to analyse the big data.......................................5
How big data technology could support business, an explanation with examples.................5
CONCLUSION................................................................................................................................8
REFERENCES................................................................................................................................9

INTRODUCTION
Information technology is basically defined as a digital or online platform which is
managed with help of utilizing updated equipment's, software and systems. In present scenario
technology is one of the factor which is highly utilized by all customer segments for fulfilling
their requirements in time. Due to the effective utilization of technology functions of the
organization are run in smooth manner (Bao, Chen and Obaidat, 2018. The report will cover
what big data is and characteristics of big data, challenges of big data analytics. It also covers the
techniques that are currently available to analyse the big data and how big data technology could
support business an explanation with examples. The main motive for utilizing information
technology by company is to retrieve, store, exchange, process and develop different types of
digital information. With help of technology organization is also able to increase safety and
security of personal and confidential data of business.
TASK
What big data is and characteristics of Big data
Big data is defined as the information in high volume which is stored by all types of
international organization in aspect of providing quality service to customers in time. Big data
also assist to manage the conmtinuation of service between employees and consumers in long
term. With help of managing big data in their systems interactions between humans and
machines are strongly sustained. The big data is mainly divided into five stages which is
described below -
 Volume – It refer to store information in high volume which is created from different
types of sources. It involves business process, interactions between humans etc. That
means due to creating high data, it plays the important role in aspect of decreasing
unwanted files from the devices which is used by different business man.
 Veracity – It refer to the storing of heavy data in the devices in different types which
belongs to the category of semi structure, structured and unstructured (Jeske, D. and
Calvard, 2020). These type of data are gathered with various sources such as computer,
laptops etc. Here unwanted data is deleted from database by using advanced equipment's
within organization.

 Variety – It is concerned with using various types of data by using different sources.
According to the changing of time the sources are also get differentiated which includes
text files, audio file, PDF, photos and others. But due to utilizing variety of information
company faced lot of problems for storing information's in systematic manner. With help
of applying various sources employees faced issues for preparing report.
 Value – In this stage organization used meaningful and reliable data for storing,
processing and analysing the problems of consumers effectively. In this way revenue and
productivity of organization are easily increased for long time. Due to providing
meaningful data to customers, positive relationship is strongly sustained between top and
lower level employees for long term.
 Velocity – It plays important role in aspect of generating the speed which is highly
essential for all categories of employees for accomplishing the work in prescribed time.
(Mohammadi, E. and Karami, 2020). Due to the effective utilisation of speed from
employees or machines for creating information, the desires and demand of the
consumers are easily fulfilled in time.
Challenges of big data analytics
The various challenges of big data analytics are -
 Lack of knowledge professionals – It is defined as difficult situations which is faced by
company such as COVID in the form of losing skilled employees. Due to losing the
talented employees organization is not able to analyse the data in systematic manner. Due
to this problem organization must provide proper training to new workers which leads to
increase their performance level at higher rate.
 Lack of proper understanding massive data – It is defined as utilization of huge
amount of information and due to this process workers did not have the potentiality to
identify the real wants and problems of consumers. Due to the usage of information at
high volume the roles and responsibilities of the employees are not completed in time.
Therefore, for reducing this type of problem it is essential for organization that they must
conduct training program for increasing their productivity.
 Integrated data from a spread of sources – It is basically a one type of data which is
already explained above. But in data different types of sources are involved which
includes customer logs, presentation, emails and financial report which is generated by

workers. But the problem is that due to using these elements elements preparing report
and sending services to customers is a difficult task for workers. So for solving this issue
organization must use updated equipments for accomplishing the task in time.
The techniques that are currently available to analyse the big data
The tools which is presently using by many types of companies for evaluating the data in
efficient manner are -
 Machine language – In simple words it refers to the effective utilisation of artificial
intelligence technology for evaluating huge amount of data quickly. In present time due
to the heavy use of latest equipments data are easily shared with multiple customers
quickly. With help of effective utilization of artificial intelligence and machine language,
all types of data are easily accessible to users from any location with help of different
mobile phones, desktop, laptop and so on.
 Data mining – It is a very common tool which is utilized by various types of
organization for evaluating the big data (Nasraoui, O. and N’Cir, 2019). Due to the
effective use of this tool only meaning and reliable information's are shared between
employer and employee in aspect of completing their responsibilities in prescribed in
time. Then after the effective evaluation of information, it will be changed in extracted
way which is important for workers for identifies the needs and wants of customers
effectively.
 Data fusion and integration – It is basically defined as mixture of many tools which is
utilized by many companies. The major benefit for utilizing this technique is that data are
gained in huge quantity by using various sources within less time. The other benefit for
utilizing this technique is that instructions and orders from higher authorities to workers
in accurate time. In this way the activities of the organization is easily run in smooth
manner.
How big data technology could support business, an explanation with examples
Due to effective use of big data improvement within organization are done in various
ways which are explained below -
In first big data is very important in aspect of managing the customer satisfaction level
at higher rate. Due to effective utilization of all types of data convenience are increased for

employees to provide right goods to consumers in right location. In this way organization easily
gained the trust of consumers in long term. That means if consumers are satisfied with company
goods and services the definitely their profit margin are easily enhanced in long term. Due to the
use of big data workers easily identified that what modifications are required in their goods
according to their requirements.
Second improvement is that big data also assists the managers of organization in aspect
of taking effective and better decision regarding their business functions. With help of
evaluating various information effectively managers or employees are able to identify easily that
in which department and area improvement is required. Then, according to that solutions are
prepared by higher authority for run their functions in effective manner. It also assists for
facilitating quality services to consumers in time.
Thirdly, big data technology also helps generate income for employees during the time
of providing quality service and products to customers (Park, E.M. and Seo, 2019). Because with
help of analysing big data through technology always provides the correct product to customers
in time. Then in this way the rating for employees are effectively increased by the customers.
With help of high rating workers easily get extra financial benefits from the organization in long
term.
Fourthly, big data technology also helps to deliver services and products to consumers
in fast manner because quick delivery is a very important concept for any organization. Due to
delivering products and services to consumers quickly positive communication are maintained
with customers for long duration. In this whole procedure transaction of money are done quickly
which is highly essential at the time purchasing product.
POSTER

CONCLUSION
After the analysis of above information, it concludes that information technology plays
the major role for sustaining the productivity and performance level of organization at high rate.
The main motive for utilizing information technology by company is to retrieve, store, exchange,
process and develop different types of digital information. With help of technology organization
is also able to increase safety and security of personal and confidential data of business. It covers
the techniques that are currently available to analyse the big data and how big data technology
could support business an explanation with examples.

REFERENCES
Books and Journals
Bao, R., Chen, Z. and Obaidat, M.S., 2018. Challenges and techniques in Big data security and
privacy: A review. Security and Privacy, 1(4), p.e13.
Jeske, D. and Calvard, T., 2020. Big data: lessons for employers and employees. Employee
Relations: The International Journal.
Mohammadi, E. and Karami, A., 2020. Exploring research trends in big data across disciplines:
A text mining analysis. Journal of Information Science, p.0165551520932855.
Nasraoui, O. and N’Cir, C.E.B., 2019. Clustering methods for big data analytics. Techniques,
Toolboxes and Applications, 1, pp.91-113.
Park, E.M. and Seo, J.H., 2019. A Study on Leadership Typology in Sports Leaders Based on
Big Data Analysis. Journal of the Korea Convergence Society, 10(7), pp.191-198.
Saura, J.R., Herráez, B.R. and Reyes-Menendez, A., 2019. Comparing a traditional approach for
financial Brand Communication Analysis with a Big Data Analytics technique. IEEE
Access, 7, pp.37100-37108.
Shukla, N., Tiwari, M.K. and Beydoun, G., 2019. Next generation smart manufacturing and
service systems using big data analytics. Computers & Industrial Engineering, 128,
pp.905-910.
Subudhi, B.N., Rout, D.K. and Ghosh, A., 2019. Big data analytics for video
surveillance. Multimedia Tools and Applications, 78(18), pp.26129-26162.
Winter, J.S. and Davidson, E., 2019. Big data governance of personal health information and
challenges to contextual integrity. The Information Society, 35(1), pp.36-51.
Wu, X., Zhao, J. and Tong, Y., 2018. Big Data analysis and scheduling optimization system
oriented assembly process for complex equipment. IEEE Access, 6, pp.36479-36486.