Information Systems and Big Data Analysis: Techniques & Challenges

This report provides an overview of big data, emphasizing its role in modern information systems. It defines big data as large, complex datasets that require specialized management and analysis techniques. The report details the characteristics of big data, including volume, velocity, variety, variability,...Read More

History on big Data
Big data refers to the large set of data which is hard to manage for an entity.
The companies have to make sure that they are keeping records of all the
activities taking place in an entity on daily basis. The data can be in
structured form or in unstructured form which can help the company in
improving their decision making (LeClerc and Cale eds., 2020). It is
extremely important for the company to keep their records safe as it will help
them in justifying their decisions and will also make sure that the company is
presenting true and fair position of the company in front of its stakeholders. It
is important for the company to create a system which can help them in
storing their data effectively and efficiently and the management can search
for data as and when needed. It is important for the companies to make sure
that the data is available for the company as and when needed without any
hassle. In this report, the characteristics as well as challenges of big data will
be provided. The report also covers the challenges which the company may
have to face along with the techniques which can help the company. The
report also shares information about technology which is supporting
businesses.
Information Systems and Big Data Analysis
Name of the Student
What is big Data
Big data refers to the collection of information by the system of the company in order to
record and store large compile of data in a safe and protected place. It helps the company
in keeping their records without any omission (Lee and Peng., 2020). The big data stores
that data which is large in size and is so complex that no other traditional data
management system can handle it. The records of the companies grow of daily basis and
in order to process it efficiently it is important for the companies to have big data. The
quick reach to a big data helps the company in having quick decision making processes
which can help the company in becoming more efficient and productive.
Characteristics of Big data
• Volume
• Velocity
• Variety
• Variability
• Veracity
The challenges of big data
analytics
Lack of professional knowledge: the stored data of big data includes large
data tools and modern technologies. In order to handle the data effectively
and efficiently, it is important for the companies to hire skilled professionals
who have a proper knowledge of handling big data. Data analytics, data
scientists, data engineers can help the company in managing their data in big
data systems (Wang and Wang., 2020). The challenge also occurs as it is
important for the company to provide training to these professionals
continuously as it will help them in coping with the changes of big data tools.
Data growth issues: The data of the company grows with each new day and it
is extremely important for the companies to make sure that they are managing
the huge sets of data in a the respective compiles otherwise the company may
have to face severe issues in managing their data. In order to cope with this
issue the company can use tools like compression, tiering, and de duplication
which can help they companies in managing their resources.
References
Aboelmaged, M. and Mouakket, S., 2020. Influencing models and
determinants in big data analytics research: A bibliometric analysis.
Information Processing & Management, 57(4), p.102234.
Amaya and et. al., 2020. Total error in a big data world: Adapting the TSE
framework to big data. Journal of Survey Statistics and Methodology, 8(1),
pp.89-119.
Hernández and et. al., 2020. Hybrid neural networks for big data
classification. Neurocomputing, 390, pp.327-340.
How Big Data technology could
support business & Examples
Using big data is a beneficial factor for the organisations. Companies are
using big data for numerous reasons which can help them in completing
their tasks on time. It is important for the companies to use big data in
order to store their data (Lioutas and Charatsari., 2020). It will help the
company in organising their data and will make sure that the company is
having access to the data as and when needed which will promote quick
decision making in the organisation.
Big data is an essential factor specially in large organisations where there is
a large number of data which is needed to be stored on daily basis. It is
important for the companies to make sure that their data is stored in a
place which is safe and secure so the the data can be stored for a longer
duration of time and as the growth of data on daily basis is extremely high,
it will help the company in storing and organising data as well.
Techniques that are currently available
to analysis big data
There are several data mining techniques are as follows:
Data mining: It refers to a technique which helps the company in combining methods of
statistics and machine learning and within data base management in order to extract
pattern from large data sets.
Machine learning: it refers to the tool which belongs to the artificial intelligence and are
used for data analytics (Kong and et. al., 2020). It has emerged from computer science
and works with the help of computer algorithms.
A/b testing: it refers to the tools which involves comparing variety of test groups. It is
important for the company to make new changes which can help them in making
improvements in objective variables.