Big Data Analytics: Challenges, Techniques, and Business Support

Business Management
BMP4005
Information Systems and Big Data Analysis
Poster and Summary Paper
Submitted by:
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Contents
1

Introduction 3
What big data is and the characteristics of big data 3-4
The challenges of big data analytics 4-5
The techniques that are currently available to analyses big data 5-6
How Big Data technology could support business, an explanation with
examples 6-7
References 8
Appendix 1: Poster 9
2

Introduction
Numerous large organization with wide-ranging business structure and panoramic
functionalities in their business. This also needs to maintain an ample of information and
evaluate their work, sales, employees, customers etc. is called big data. It's not an easy task to
maintain such a big data with the challenges. This is a complex process because there are
various types of big data on different grounds and characteristics of their own. To handle this
complex project many business companies and their analyst uses techniques to manage,
implement, gather and analyze this information. Assembling and executing big data is very
helpful for the companies as it influences and convey many ways in which companies can
modify their working pattern resulting in growth of company’s market share and profits. It is
broadly categorized in two parts: structured or unstructured. Structured data consists of the
data which is already managed by the organization in the form of databases or spreadsheet
whereas unstructured data is unformed and not preset format.
What big data is and the characteristics of big data?
Big data is a collection of large data which are not clarified through traditional methods
The data is collected from different sources. .(Müller,Fay, and Vom Brocke, 2018)
There are five V's of Big Data that explains the characteristics:
 volume: The name itself reflect the size of a data it means that data is in large
volume. It is important to know the size of an information to determine the value out
of the data (Penda, 2019). The companies manage and analyzes the ample of big data.
This data is generated from many source like social networking sites, business
process, machines and engaging of human beings.
 Velocity: it refers to the speed, the speed of generation of data. It examines how fast
the data is generated and meets it requirements and determine the real potentiality in
data. It deals with the speed at which the data flows from different sources. The
streaming of data is large and ceaseless. This considers the rate of change and the
linking of inward data.
 Value: It is an important feature of big data. A value is a dependable data that is
stored, refined and examine. It is just not an amount of data but it is a data which
added the value to the company in their profits. (Osman, 2019)
 Variety: It refers to the generation of data in various forms. In traditional method the
data was collected in spreadsheet or database format but now it is collected in PDF,
email, photos, videos and in many more formats. The big data can be structured,
unstructured and semi structured that are being collected from various sources.
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