Information Systems and Big Data Analysis for Business Solutions

This report provides a detailed analysis of big data techniques within information systems and their crucial role in supporting various business functions. It covers the characteristics of big data, including volume, variety, velocity, veracity, and value, and discusses the challenges associated with big data analytics, such as data security and complexity. The report also explores currently available techniques for analyzing big data, including data mining, machine learning, and statistics. Furthermore, it provides examples of how big data technology can support business by enhancing data management, ensuring data privacy, and improving customer engagement, citing companies like Sainsbury's and Tesco. The report concludes that big data technology is essential for businesses to maintain a competitive edge by leveraging data-driven insights.

Information Systems
and Big Data Analysis

INTRODUCTION ..........................................................................................................................3
TASK...............................................................................................................................................3
What big data is and the characteristics of big data.....................................................................3
Characteristics of big data............................................................................................................3
The challenges of big data analytics............................................................................................4
The techniques that are currently available to analyse big data...................................................5
How Big Data technology could support business, an explanation with examples.....................6
Poster............................................................................................................................................7
CONCLUSION ...............................................................................................................................7
REFERENCES................................................................................................................................8

INTRODUCTION
Big data technology is considered as the wider term of data that relates to the different customer
in the business. It is essential and significant for the business to maintain their big data
techniques in terms of growing the field of market. The management has to develop an efficient
operative software for managing the operations and functions that are linked with the big data
technology (Belcastro, Marozzo, and Talia, 2019). The following report covers the big data
techniques and its characteristics, various challenges, techniques that are presently accessible to
evaluate big data and at last it include the manner by that big data technology will help the
management.
TASK
What big data is and the characteristics of big data
Big Data
In the current competitive world, big data techniques is developing its impact on the informatics
techniques section. The example of big data technology are Hadoop, Spark, Hive and Cloud. It
also involves the software that helps the business in managing the big data that are linked with
the business. It covers the arrangement of various factors that maintained the information and
data security which is effective for the development of the management by developing
synchronicity of big data. As it involves two kinds of big data technology that are structural and
analytical big data. It basically depends on the task of the IT section in an organisation to
consider and evaluate the big data in an effective way to support the organisational operations. It
is also help in increasing the orientation to perform the activities which is significant for the
management to create big data techniques (Bologa, Bologa, and Florea, 2019). Such
technologies is concentrates on the fundamental divisions that are significant for following the
critical information that will linked to the consumer. The organisation can hold attainment in the
area of business by big data techniques. It plays an efficient manner by presenting wider term of
sections in a suitable way.
Characteristics of big data
An organisation require to ascertain the terms of factor that are directly relates with the big data
technology in the field of area that are discussed below -

 The volume of data – It is a wider division, the management require to develop an
effective sort of approaches with the purpose of managing the divisions of data. Big data
volume is sizeable and have the numerous amount of customer who are large in
international and as well as national field of the management. By maintaining the large
volume of data that are essential for the management to manage the task of business in
order to hire skilled and capable employees. Variety of data - It is wider within the area of big data technology that is significant to be
managed in a proper way (Demirkan, and Delen, 2017). It include the division of
framework of the data. In order to make sure the sort of data, the orientation of field
criteria will get shift. The management has to perform various sort of the roles like
financial dealings and developing organisational strategies. The velocity of data – It will considered the manner of the speed of information through
which the data can be transferred from one concept to another section. In the current
division, the velocity of informatics also get maintained by developing wider term of
software like HADOP HPCC in the business. It is an essential activity for the
management to manage the velocity of data that will consistently maintained for success
for longer period of time. Veracity - It termed to contradictions and uncertainties in the data, which means that the
data that is available can sometimes become messy and the quality and precision are
difficult to control.
 Value - The data itself is of no use or meaning, but it must be converted into something
valuable to extract information.
The challenges of big data analytics
Big data analytics will termed to be a suitable divisions in the management. It have a
permanent terms, with effective term of the business in the present term of time in utilising big
data techniques (Erraissi, Belangour, and Tragha, 2017). The business need to focuses on big
data to acquire the users contentment for an effective term. In the contemporary theory, there are
several sort of the divisions of problems that concerned to big data that are maximising a
continuous base. As it is basic need for data analysis in order to manage the customer data. The
fundamental challenges in big data are as follows –

 Data security - In the management of big data analytics, data security is considered as a
basic section of issue. It plays a vital role in managing and controlling it from a broad and
specific term of divisions (Liu, 2018). The appointed individual gather the data from
numerous sections and will present basic roles in offering data safety to their consumers.
In the existing scenario of world-wide technology, there are sort of operations like
malware and spyware that are have directly effects on the wider data. Data complexity – It will relates to the maintaining of the big data difficulty that is
essential for the researcher to overcome the issues and difficulty. The information can be
examine and fixed in orientated division that develop it complexities for the investigator
to maintained the source of factors. It will linked to the fundamental term of the issues
due to its principled sections of the task by IT consultants in the business to manage the
big data issues.
 Maintaining quality Data – By managing the section of higher division of big
information, it will be tough for the management to get maintained effectively. It include
clearing similar faults, errors, consistent mistakes and many other.
The techniques that are currently available to analyse big data
 Data mining - It is a suitable technology that is use by the management to manage the
big data analytical. The data mining influence several larger term of the section of data. It
deals with the suitable methods with figures and machine learning in the field of the
management.
 Machine learning – It consider several term of the message that will get effects to the
AI, robotics learning that will directly relates to the framework of the computer science
and algorithmic arrangement (Markl, 2019). Robotics learning also provide various
terms that are based on various dealings.
 Statistics - The technology covers the process, managing and analysis the manner of data
that are basically different and expandable that evolves with certain period. Technology
in big data follows the structure and figures that are significant. It helps in managing
effective section that might be present the business, products and market orientation.
How Big Data technology could support business, an explanation with examples
In the current section of competitive era, the big data technology help the business in evolving by
providing the management data of their loyal visitors. There are several organisation that can

develop competitive advantages with the help of big data technology. The big data technology
will supports the business for their development in the field of market that are as follows – Management of data - Big data technique helps in maintaining the information of
business that will further help in their development. The big data technology use wider
term of the software and the divisions that might be effective for the business to manage
higher set of the data (Van der Aalst, and Damiani, 2017). The data which is maintained
by the big data techniques will be accessible for the management for effective time. It
helps in maintaining the customer in the business as effectively. For instance, Sainsbury
is a multinational UK based retail business who are managing the wider segments of data
in different course with the help of big data technology. Privacy of data – It is important for both of the management and customer in the market.
By applying the manner of the action in big data technique, it plays an important role in
organisation development by maintaining the privacy of information of customer. It will
increase the moral of customer by maintaining the privacy of wider number of
information. For instance, Tesco that are multination retail business that maintained its
private division of information with the help of big data technology.
 Customer engagement – Consumer involvement is also provide divisions in big data
technology. As it will help in synchronism of the information. It is a basic term of roles
of Information section in the business to manage the information as according to the
amount of customer (Wixom, and et.al., 2019). The customer engagement is an effective
of each business. On the other side, technique that will help in increasing the worth of
business by increasing customer contentment as it will develop customer aspects in the
business. For instance, organisation is a multinational wholesale enterprise that will
directly accomplish customer involvement and contentment with the help of big data
application.

Poster
CONCLUSION
From the above mentioned report it has been concluded that, big data technology is a certain
section of information which is supportable for the researcher and the business. The big data
technology that will help the investigator in maintaining a high section of information which
utilise suitable approaches.

REFERENCES
Books and Journals
Belcastro, L., Marozzo, F. and Talia, D., 2019. Programming models and systems for big data
analysis. International Journal of Parallel, Emergent and Distributed Systems, 34(6),
pp.632-652.
Bologa, A.R., Bologa, R. and Florea, A., 2019. Big data and specific analysis methods for
insurance fraud detection. Database Systems Journal, 4(4), pp.30-39.’
Demirkan, H. and Delen, D., 2017. Leveraging the capabilities of service-oriented decision
support systems: Putting analytics and big data in cloud. Decision Support
Systems, 55(1), pp.412-421.
Erraissi, A., Belangour, A. and Tragha, A., 2017. Digging into Hadoop-based big data
architectures. International Journal of Computer Science Issues (IJCSI), 14(6), pp.52-
59.
Liu, Y., 2018, January. Big data technology and its analysis of application in urban intelligent
transportation system. In 2018 International Conference on Intelligent Transportation,
Big Data & Smart City (ICITBS) (pp. 17-19). IEEE.
Markl, V., 2019. Breaking the chains: On declarative data analysis and data independence in the
big data era. Proceedings of the VLDB Endowment, 7(13), pp.1730-1733.
Van der Aalst, W. and Damiani, E., 2017. Processes meet big data: Connecting data science with
process science. IEEE Transactions on Services Computing, 8(6), pp.810-819.
Wixom, B., and et.al., 2019. The current state of business intelligence in academia: The arrival
big data. Communications of the Association for information Systems, 34(1), p.1.