Data Analytics and Automation for a Broadband Franchise

Title

Data Analytics and Automation for a Broadband Franchise

Creator

Josephine, V.L.Helen; Ramesh, Kaushik; Thaliyan, Delma

Description

Its challenging to envision a world without the internet. From acquiring knowledge to ordering food, our lives have become incredibly convenient thanks to it. As technology advances, internet access is becoming easier and more affordable, with India being renowned for having the lowest internet costs. Internet service providers (ISPs) aim to offer better speeds, fewer disruptions, and professional service. They charge fees for allowing customers to shop online, browse the web, stay connected with loved ones, and conduct business. Due to a lack of data comprehension, the company struggles to leverage reports in daily operations. Consequently, BSNL is finding it hard to outshine competitors and become profitable. Key highlights from the project include understanding customer mentality and addressing issues faced by franchise owners. This research aimed to enhance organizational operations by reducing manual interventions and automating customer communication. User sentiments toward the brand and its competitors were analyzed, and exploratory data analysis was conducted to assess the organizations position. Data visualization with Tableau and Python programming were utilized to derive insights from the data. 2025 selection and editorial matter, Shruti Sharma, Ashutosh Sharma, and Trinh Van Chien.

Source

The Intersection of 6G, AI/Machine Learning, and Embedded Systems: Pioneering Intelligent Wireless Technologies;pp.338-347

Date

01-01-2025

Publisher

CRC Press

Coverage

Josephine V.L.H., School of Business and Management, Christ University, Karnataka, Bengaluru, India; Ramesh K., School of Business and Management, Christ University, Karnataka, Bengaluru, India; Thaliyan D., School of Business and Management, Christ University, Bangalore, India

Rights

Restricted Access; Hardcopy may be available in the library

Relation

ISBN: 978-104033228-3; 978-103285196-9;

Format

online

Language

English

Type

Book chapter

Identifier

https://doi.org/10.1201/9781003540212-18

https://www.scopus.com/pages/publications/105001401225?origin=resultslist