Business insights of user usage records of data cards

dc.contributor.author Kantipudi, Rajsanjyot
dc.contributor.department Information Systems and Business Analytics
dc.contributor.majorProfessor Anthony M. Townsend
dc.date 2020-06-15T19:58:19.000
dc.date.accessioned 2020-06-30T01:35:39Z
dc.date.available 2020-06-30T01:35:39Z
dc.date.copyright Wed Jan 01 00:00:00 UTC 2020
dc.date.issued 2020-01-01
dc.description.abstract <p>The aim of this project is finding the business insights of current user records data and get the benefits for business growth. The parameters to be considered for analysis are</p> <p>1. Daily user count and bytes transmitted for a time slot.</p> <p>2. Area wise business(usage) share in the total business</p> <p>3. Every network owner will be depending on partners to get the service where they do not have the service tower.</p> <p>From point1: We can find the exact time when a greater number of users are using the network and at what time maximum number of downloads and uploads are happening. Based on that, they can concentrate tower capacity enhancements. If the tower is underutilized, they can reduce the tower capacity. From point2: They can concentrate on the areas where they can invest more to get maximum number of users. From point3: Find out the areas of partner leading and try to improve the installations of the owner tower. All the above activities are currently happening by using data warehousing technologies. But they are more expensive and time consuming. To help better in this area, we will be using the Hadoop and Hadoop Echo systems.</p>
dc.format.mimetype PDF
dc.identifier archive/lib.dr.iastate.edu/creativecomponents/516/
dc.identifier.articleid 1607
dc.identifier.contextkey 17881744
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath creativecomponents/516
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/17085
dc.source.bitstream archive/lib.dr.iastate.edu/creativecomponents/516/Final_Report_RajsanjyotKantipudi.pdf|||Sat Jan 15 00:45:00 UTC 2022
dc.subject.disciplines Data Storage Systems
dc.subject.keywords Hadoop
dc.subject.keywords Big Data
dc.subject.keywords Hive
dc.subject.keywords Sqoop
dc.subject.keywords SQL
dc.subject.keywords RDBMS
dc.title Business insights of user usage records of data cards
dc.type article
dc.type.genre creativecomponent
dspace.entity.type Publication
relation.isOrgUnitOfPublication 0099bcd5-3121-4f25-813d-0ec68d96243f
thesis.degree.discipline Information Systems
thesis.degree.level creativecomponent
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