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Table of Contents
INTRODUCTION...........................................................................................................................1
MAIN BODY...................................................................................................................................1
CONCLUSION................................................................................................................................1
REFERENCES................................................................................................................................2

INTRODUCTION
UBER is a well renowned ride hailing organisation operating within many parts of the
globe. It uses integration of external and internal data for estimation of fares for customers. The
fares are calculated by making usage of street traffic data, GPS data, own algorithms which make
distinctions in accordance with the tenure of a trip (Insardi and Lorenzo, 2019). External data is
used such as public transport routes for doing planning for several services.
MAIN BODY
It is well known that UBER effectually handles the information in an effective manner. It
uses the GPS and street traffic data to calculate fares. Further, the data related to the consumer
journeys in the past is handled and stored by the company for improvement of the existing
services of this organisation (Saravana and Harish, 2017). This helps the organisation in building
a better brand and providing better services to customers across the globe.
Information system is acknowledged to be the software which helps in organizing the
data for answering the queries and resolving the issues. Now, there are several factors that allow
the matching of information system in accordance with the requirements of user within the
bounds of UBER. Such factors are identified to be hardware, process, people, data, software, etc.
CONCLUSION
Many a times, IT issue arise within the companies, to address which, it becomes
important to create and implement a policy. In this relation, it is identified that a policy may be
developed in relation to domains such as network access, physical security, incident response,
website privacy, internet use, email use, social media, etc. The policy will provide assistance in
duly addressing these issues in a timely manner.
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REFERENCES
Books and Journals
Insardi, A. and Lorenzo, R.O., 2019. Measuring accessibility: A big data perspective on Uber
service waiting times. Revista de Administração de Empresas, 59(6), pp.402-414.
Saravana, M.K. and Harish, K., 2017, August. A case study on analyzing Uber datasets using
Hadoop framework. In 2017 International Conference on Energy, Communication, Data
Analytics and Soft Computing (ICECDS) (pp. 1356-1360). IEEE.
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