Information Systems & Big Data Analysis: Challenges and Support

This report provides an overview of information systems and big data analysis, highlighting the challenges and techniques involved in analyzing large and diverse datasets. It emphasizes the importance of big data in today's competitive environment and discusses the characteristics of big data, including volume, variety, and velocity. The report also explores how big data technology supports businesses, providing examples of its application across various sectors, from IT to healthcare. Furthermore, it addresses the lack of knowledge professionals and issues related to data growth and integration. The report concludes that big data analytics is essential for organizational growth and development, enabling companies to identify valuable customers, create new products and services, and outperform the competition. The report suggests that leveraging big data strategies is crucial for capturing, competing, and innovating in the modern business landscape. Desklib provides additional resources and solved assignments for students.

Information Systems and Big Data AnalysisINTRODUCTION
Information system refers to the components set for storing, collecting and processing data for
providing knowledge, information and digital products. Within this technical world, big data
analysis is very important where it is the use of advanced analytic techniques which is against
very large and diverse data sets. It includes structured, semi structured and unstructured data
from different sources and in different sizes as well. Within this competitive environment , IT
and analysis of big data is very important for further actions and steps as well. The present
report will cover discussion about the information for big data and characteristics as well. In
addition to this, the report will cover analysis about the challenges for big data analytics and the
techniques which are currently available to analyse the big data. Moreover, the report will cover
discussion about the technology for big data which supports the business with support of
examples.
Big Data
It basically refers to the sets of data which are very difficult to dealt through traditional data
processing application software. It basically contain different forms which arrives in enhancing
volumes and with higher velocity as well. There are certain examples of big data which include
transaction processing system, customer databases, emails, documents, mobile apps and social
networks as well. Big data is also known as the three Vs which indicates about variety, volume
and velocity as well.
Characteristics of big data
• Volume
• Variety
• Veracity
• Value
• Velocity
Challenges of big data analytics and the techniques which are currently
available to analyse the big data
There are certain challenges of big data analytics which has been defined
into the following manner
• Lack of knowledge professionals:
• Issues of data growth
• Integrating data from the spread of sources
There are certain techniques which can be used in order to analyse the data into the
current form which has been defined into the following manner:
• Collaborate the needs
• Establish the questions
• Set the KPI s
How big data technology support the business with support of examples
wherever necessary
Big data technology plays a very significant role within the business where all the
tools and processes are related to managing and utilising the large sets of data.
REFERENCES
• Chistyakova and et.al., 2020. Big data analysis in film
production. In Cyber-Physical Systems: Advances in
Design & Modelling (pp. 229-236). Springer, Cham.
• Faccia and et.al., 2019, August. Accounting information
systems and ERP in the UAE: an assessment of the current
and future challenges to handle big data. In Proceedings of
the 2019 3rd International Conference on Cloud and Big
Data Computing (pp. 90-94).
CONCLUSION
The above stated report concludes that information technology
plays a very significant role at the organisational level. It has
been concluded that big data is very necessary in order to
achieve out of box performance by the organisation. There are
certain characteristics of big data which help the organisation
in terms of further growth and development as well. It has
been determined that there are certain challenges of big data
analytics and also there are certain techniques which are very
helpful for the organisation for their positive development. At
the organisational level, big data is very necessary to analyse
so that it contribute into context of further growth and
development of the organisation. So in the overall manner, big
data analytics and information technology is very necessary for
achieve the tasks within the shorter period of time. In this
manner, this concept achieves its significance according to
changing period of time.
With support big data, there are business organisations who can use and figure out
the most valuable customers as well. It can also support in terms of helping the
business which creates services, new experiences and products as well. It is not
easier to use the big data into significant terms at the organisational level which lead
the companies to outperform the competition(Lee and Huh., 2019). There are
different industries, new entrants and also there are established companies who use
the strategies of data driven in order to capture, compete and innovate as well. There
are different examples of usage of big data which can be observed almost into every
sector which includes from IT to healthcare. In context to healthcare sector, it has
been observed that data pioneers have been analysing the pharmaceuticals outcomes.
It has been observed that companies have more focus towards on discovering the
benefits and risks which were not clear during the initial trials at clinical level.