Big Data Analytics: Characteristics, Challenges, and Techniques

This presentation provides an overview of Big Data Analytics, including its characteristics, challenges, and techniques. It explains what Big Data is and how it can support businesses in making informed decisions. The challenges of Big Data Analytics are also discussed, along with the techniques currently available to analyze Big Data. The presentation concludes with examples of how Big Data technology can support businesses.

History on big Data
Big Data Analytics are mainly defined as a set of characteristics and concept of
processing storing and analysing data when traditional data processing software find
difficulty to handle the amount of records that are too slow, expensive or complicated.
In simple terms big data analysis is basically utilisation of advanced analytical
techniques against diverse large data set which includes semi structured, structured
and unstructured data from various sources in different sizes.
Information Systems and Big Data Analysis
Name of the Student
What is big Data
Big Data Analytics mainly defined as a procedure of uncovering pattern, trends and
correlation in a large amount of raw data as to assist to make data inform decision. Big Data
Analytics play important role in analysing and systematic extraction of information from data cells
which can be too complex or large to be evaluated in a traditional data processing application
software. With the help of taking advantage of this business organisation can conduct smart
operations which will significantly help them to ensure your efficient information with assuring
higher profitability.
Characteristics of Big data
Big Data Analytics is a field of extracting and evaluating information from large data
sets and undertake have some certain characteristics which include velocity, volume,
value, variety, validity, qualitative and visualisation.
The challenges of big data
analytics
Big Data Analytics is complex procedure of analysing large set of data in which
organisation can face number of challenges such as lack of knowledge of professional
to use and efficiently undertake use of these modern techniques and larger data tools.
Furthermore, it has been identified that lack of proper understanding of message data
is also a major challenge of Big Data Analytics which can affect organisation process
of implementing big data analytics in organisation functioning. In addition to this data
growth issue, confusion while big data tool selection, integrating data from a spread of
sources and securing data are some certain challenges of big data analytics that can
affect organisation and can create number of problems and issue that can affect
business organisation to handle big data analytics in efficient manner.
References
Chai, C., Liu, T. and Zhang, H., 2021, November. Application of Information
System Based on Big Data Technology in Fine Management.
In International Conference on Machine Learning and Big Data
Analytics for IoT Security and Privacy (pp. 370-377). Springer, Cham.
Gao, B., 2022. Construction of Knowledge Service Model of Guizhou Supply
Chain Enterprises Based on Big Data. International Journal of
Information Systems and Supply Chain Management
How Big Data technology could
support business & Examples
Big Data analytics is playing important role in today's business world, as it is a
combination of all the processes as well as tools which helps organisation to utilise
and manage large data sets. By taking assistance of big data analytics business
organisation can use tools and can identify the most valuable consumers. This will
also help business to create a new service experience and products which will allow
organisation to ensure long-term development and growth.
Techniques that are currently
available to analysis big data
There are a number of techniques to analyse big data which include data in fusion and data
integration, data mining, machine learning, natural language processing, statistics and more (Lin,
2021). With the help of taking Big Data analytics techniques business organisation can enhance
their revenue and can serve consumers in an effective manner.