Title: Automation of franchise-based data storage, management and analysis using Amazon Web Services

Authors: Shreya Oswal; Shubham Gundawar; Varun Modani; Ashwini Shingare

Addresses: Department of Computer Engineering, Vishwakarma Institute of Technology, Pune, 411037, India ' Department of Computer Engineering, Vishwakarma Institute of Technology, Pune, 411037, India ' Department of Computer Engineering, Vishwakarma Institute of Technology, Pune, 411037, India ' Department of Computer Engineering, Vishwakarma Institute of Technology, Pune, 411037, India

Abstract: The wave of computer automation in business has revolutionised the way companies and employees interact with their customers and each other. Robotic process automation (RPA) not only mimics human actions involving complex, high volume and routine tasks but has also extended the creative problem-solving capabilities and productivity of human beings and deliver superior business results (Leshob et al., 2018; Ghosh, 2018). Amazon Web Services (AWS) has created a dramatic cultural shift in infrastructure provisioning from a fairly manual process of physical machines and software configuration. This paper proposes to use Amazon AWS to automate the task of scheduled uploading of data from different franchises, managing the database, analysing the data and storing the data on the supervisor's machine. This reduces the redundant tasks of daily uploading data to company servers, analysing the data and downloading the data. The analysed data can be used by the company to improve the basic functioning and acknowledge various issues and problems. Thus, it aims to offer infrastructure as a service (IaaS) by providing virtualised computing resources over the internet.

Keywords: Amazon Web Services; AWS; AWS lambda; DynamoDB; robotic process automation; RPA; AWS S3.

DOI: 10.1504/IJCC.2023.134650

International Journal of Cloud Computing, 2023 Vol.12 No.6, pp.575 - 585

Accepted: 07 Jan 2021
Published online: 03 Nov 2023 *

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