Big Data Analysis Report: Applications and Techniques

This report provides a comprehensive analysis of Big Data, exploring its characteristics, techniques, and real-world applications. It begins by defining Big Data and its core components, including volume, variety, and velocity. The report then delves into the challenges associated with Big Data, such as the need for advanced analytical tools and skilled professionals. It highlights techniques like predictive analytics and the use of Hadoop for processing large datasets. Furthermore, the report provides examples of how Big Data technologies support businesses, such as Coca-Cola's use of data analytics for customer retention. The report concludes by emphasizing the importance of integrating various technologies to enhance overall business performance and decision-making, showcasing the value of data-driven strategies in today's business environment.

is integrated set of various
ering, collecting and processing
or information. It is providing the
e and digital items. On the other
ig data analytics as technique in
e sets of data in the form of
tured forms.
ll discuss about the big data and
identify Challenges of big data
ue available. Moreover, it will
nce of big data technology and
ill support entire business in
development.
Big Data
Characteristics of Big data
Volume- it is one of the characteristic of big data in order to represent the
actual size. It is also playing important role in identifying the value out of data
or information in proper manner. In case, if particular data can eventually be
used in big data which means that depends on the huge amount of
information.
Variety- it refers to the heterogeneous sources and nature of data or
information. This can be organised in the form of structured (
Zhu, Yu and Tang, 2018). At earlier days, companies are mainly used
traditional method such as spreadsheet, database. In order to store or collect
the data in proper manner.
Velocity- it is another characteristic of big data in which maintain a velocity of
data generation. How fast the data or information is generated and processed.
In order to meet all essential need or requirement for clients, determine real
potential in the form of data.
Variability- this kind of characteristic is basically referred to the inconsistency
which can be represented by data or information at single time. Thus, it is
happening and able to manage or handle information effectively.
e concept in which describe the
n the form of both unstructured
. Big data can be analysed the
tion and lead to make better
trategic business plan.
How big data technology support business with example
For Example- Coca cola is leading brand in which use big data analytics to
drive customer retention. In 2015, coca cola managed to strengthen its data
strategy with the help of digital-led as loyalty program. This kind of approach
will always attract more customers towards brand. Nowadays, companies are
using big data for customer acquisition and retention process.analytics
tanding- companies are failed to
ology because professionals
ient knowledge of technology.
ifficult to use in business
most common challenge exist in
gy because there are various
Big data techniques
Artificial intelligence- th
designing part of mac
various tasks. Typically,
for organisation in orde
consistently to make be
goal achievements.
Predictive analytics- thi
predict future behaviou
machine learning techn
visualise forms.
Hadoop- it comprises
resolving complex chal
technology is always su
and maintain inside inf
Conclusion
From above discussion
the big data and c
Challenges of big data a
Moreover, it has been
data technology, helpin
data or information
discussion, it has been
technologies such as
integration. This can su
overall performance of References
Zhu, L., Yu, F.R. and Tang, T., 2018. Big data analytics in