Using Waterfall Iterative Model in Event Go Implementation Projects in Business
Bhanu Sharma1, Pooja Kapila2
1Bhanu Sharma*, Assistant Professor, Assistant Professor Department of Computer Science Engineering, Chandigarh Engineering College Jhanjeri, Mohali (Punjab), India.
2Pooja Kapila, Assistant Professor Department of Computer Science Engineering, Chandigarh Engineering College Jhanjeri, Mohali (Punjab), India.
Manuscript received on February 16, 2022. | Revised Manuscript received on February 22, 2022. | Manuscript published on March 30, 2022. | PP: 73-76 | Volume-10 Issue-6, March 2022. | Retrieval Number: 100.1/ijrte.F68390310622 | DOI: 10.35940/ijrte.F6839.0310622
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The approach of planning or taking care of big events manually or on paper creates nuisance for the workers of any company as it is bit difficult to maintain or make record of each tiny detail of the events. This approach was not reliable, inconvenient, and difficult for the coordinator to log input in a manual form. This manual method is overtaken by the application approach. With the help of this application a team can coordinate and communicate to make any changes in the planning of the events, also group of people can also see the changes simultaneously from any location. It is user friendly and saves time of both organizer and visitors. If we will talk from the prospective of organizer they can update and make the changes in the events with the single request. Attendee can create request according to their need and it will directly be forwarded to the organizer. And yes of course, this approach secures organizer data as well as attendee data. Less manpower is required and can be only accessed by authorized personnel or the individual which is allowed to do so.
Keywords: Attendee Can Create Request According to Their Need and It Will Directly Be Forwarded to The Organizer
Scope of the Article: Big Data Analytics and Business Intelligence