Big Data Analysis: Characteristics, Challenges, Techniques and Business Benefits

Information Systems
and Big Data Analysis
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Contents
Introduction................................................................................................................................2
Big data and its characteristics...................................................................................................2
Problems/Constraints/Challenges related to big data analytics.................................................3
Techniques available to analyze big data...................................................................................4
Big Data technology supporting businesses...............................................................................5
Poster..........................................................................................................................................6
References..................................................................................................................................7
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Introduction
The big data is combination large information, yet thriving with time and this can be
gathered from different ways such as social media, voluntarily, apps and purchase product etc. It
can be divided into two parts as structured data and unstructured data. Structured data is used and
managed by the company in spreadsheet and database. On the hand, the unstructured data is
unorganized information as it not has formatted data or predetermined model and this data
collected from social media that help to understand the consumer's need, the report will cover the
concept of big data along with characteristics and the difficulty in big data analytics. In addition to
this, discussion about the technique used for analyses the big data as well as the big data benefits
in company's business.
Big data and its characteristics
The big data can be explained as the collection, classification, presentation, analysis and
interpretation of enormous amount of data through digital means that involves collection of
customer data from various devices, online sources, etc. (Cohen and Macek, 2021). The big
data is used by the multinational companies as it can be help for measuring the consumer's
preference. The characteristics of big data divided into five segments
 Volume: The volume of Big data is very enormous and it is collected from various
sources like social media, online platforms, etc. For instance example of Facebook
can be brought into notice which is used by more than one fourth of the world and is
connecting people globally and it is used as a tool to collect data about like’s dislikes
of people.
 Variety: The variety can be explained as the mixture of various data that are
collected from various data sources. Variety includes structured data including
statistics, tabular data, etc. and semi structured data which includes TSV, SCV and
JSON. In additional to this, a raw form of data is unstructured data such as
unstructured files, images and audios etc. along with this, quasi-structured data refers
textual data as its required time and efforts.
 Value: The value is an important for big data as it is trustworthy data and reliable data
that necessary to store, analyze and process.
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