Please use this identifier to cite or link to this item: https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/4010
Title: Web Based Data Management System for Salon NadeeLalani
Authors: Farmila, M.F
Issue Date: 2017
Abstract: ABSTRACT Salon NadeeLalani is one of a famous beauty care center situated in a crowded village area. Salon NadeeLalani provide variety of services for the ladies beauty care such as all the type of ladies beauty care, Bridle care as well as ladies/gents haircuts. A big number of customers visit Salon Nadeelalani for their beauty cultural needs every day. Salon NadeeLalani following a manual paper based data management system to maintain their records. Since the current data management system time consuming to store/retrieve data and also sometimes not seems accurate, Salon NadeLalani concern about using a web based Data Management System as a solution. This Salon Data Management System comes with customer data management, staff data management, and salon master data management, inventory management, appointment handling, message handling, promotions reminder, and reports generation. The proposed Salon Data Management System was developed using PHP (Hypertext Preprocessor) which is free and open source scripting language. MySQL is used as the database management system. For the analysis and design the system, Unified Modeling Language (UML) used. Since proposed system is running online Apache web server is used as a processing server. Brackets was used as the main development tool of the system. JavaScripts, JQuery, HTML, CSS are other technologies which used for system development. Moreover, system is featured with set of non-functional requirements such as security, usability, Maintainability, Accuracy and backups. By using the system, the productivity throughout the process will be increased via the features such as informative dashboards, quick search facilities and reporting. Easy access to data will efficient the managerial tasks like decision-making and future marketing planning.
URI: http://hdl.handle.net/123456789/4010
Appears in Collections:2016/2017 BIT Undergraduate thesis

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